id	sid	tid	token	lemma	pos
hjic-750	1	1	hungarian	hungarian	ADJ
hjic-750	1	2	journal	journal	NOUN
hjic-750	1	3	of	of	ADP
hjic-750	1	4	industry	industry	NOUN
hjic-750	1	5	and	and	CCONJ
hjic-750	1	6	chemistry	chemistry	NOUN
hjic-750	1	7	vol	vol	NOUN
hjic-750	1	8	.	.	PUNCT
hjic-750	1	9	45(1	45(1	NOUN
hjic-750	1	10	)	)	PUNCT
hjic-750	1	11	pp	pp	ADV
hjic-750	1	12	.	.	PUNCT
hjic-750	2	1	23–27	23–27	NUM
hjic-750	2	2	(	(	PUNCT
hjic-750	2	3	2017	2017	NUM
hjic-750	2	4	)	)	PUNCT
hjic-750	2	5	hjic.mk.uni-pannon.hu	hjic.mk.uni-pannon.hu	NOUN
hjic-750	2	6	doi	doi	NOUN
hjic-750	2	7	:	:	PUNCT
hjic-750	2	8	10.1515	10.1515	NUM
hjic-750	2	9	/	/	SYM
hjic-750	2	10	hjic-2017	hjic-2017	NOUN
hjic-750	2	11	-	-	PUNCT
hjic-750	2	12	0005	0005	NUM
hjic-750	2	13	replacement	replacement	NOUN
hjic-750	2	14	of	of	ADP
hjic-750	2	15	biased	biased	ADJ
hjic-750	2	16	estimators	estimator	NOUN
hjic-750	2	17	with	with	ADP
hjic-750	2	18	unbiased	unbiased	ADJ
hjic-750	2	19	ones	one	NOUN
hjic-750	2	20	in	in	ADP
hjic-750	2	21	the	the	DET
hjic-750	2	22	case	case	NOUN
hjic-750	2	23	of	of	ADP
hjic-750	2	24	student	student	NOUN
hjic-750	2	25	's	's	PART
hjic-750	2	26	t	t	NOUN
hjic-750	2	27	-	-	PUNCT
hjic-750	2	28	distribution	distribution	NOUN
hjic-750	2	29	and	and	CCONJ
hjic-750	2	30	geary	geary	NOUN
hjic-750	2	31	’s	’s	PART
hjic-750	2	32	kurtosis	kurtosis	NOUN
hjic-750	2	33	gergely	gergely	ADV
hjic-750	2	34	tóth	tóth	NOUN
hjic-750	2	35	*	*	PUNCT
hjic-750	2	36	and	and	CCONJ
hjic-750	2	37	pál	pál	VERB
hjic-750	2	38	szepesváry	szepesváry	PROPN
hjic-750	2	39	institute	institute	PROPN
hjic-750	2	40	of	of	ADP
hjic-750	2	41	chemistry	chemistry	PROPN
hjic-750	2	42	,	,	PUNCT
hjic-750	2	43	faculty	faculty	NOUN
hjic-750	2	44	of	of	ADP
hjic-750	2	45	science	science	NOUN
hjic-750	2	46	,	,	PUNCT
hjic-750	2	47	eötvös	eötvös	PROPN
hjic-750	2	48	loránd	loránd	PROPN
hjic-750	2	49	university	university	PROPN
hjic-750	2	50	,	,	PUNCT
hjic-750	2	51	1	1	NUM
hjic-750	2	52	/	/	SYM
hjic-750	2	53	a	a	DET
hjic-750	2	54	pázmány	pázmány	PROPN
hjic-750	2	55	péter	péter	NOUN
hjic-750	2	56	sétány	sétány	PROPN
hjic-750	2	57	,	,	PUNCT
hjic-750	2	58	budapest	budapest	PROPN
hjic-750	2	59	,	,	PUNCT
hjic-750	2	60	h-1117	h-1117	PROPN
hjic-750	2	61	,	,	PUNCT
hjic-750	2	62	hungary	hungary	VERB
hjic-750	2	63	the	the	DET
hjic-750	2	64	use	use	NOUN
hjic-750	2	65	of	of	ADP
hjic-750	2	66	biased	biased	ADJ
hjic-750	2	67	estimators	estimator	NOUN
hjic-750	2	68	can	can	AUX
hjic-750	2	69	be	be	AUX
hjic-750	2	70	found	find	VERB
hjic-750	2	71	in	in	ADP
hjic-750	2	72	some	some	PRON
hjic-750	2	73	historically	historically	ADV
hjic-750	2	74	and	and	CCONJ
hjic-750	2	75	up	up	ADP
hjic-750	2	76	to	to	ADP
hjic-750	2	77	now	now	ADV
hjic-750	2	78	important	important	ADJ
hjic-750	2	79	tools	tool	NOUN
hjic-750	2	80	in	in	ADP
hjic-750	2	81	statistical	statistical	ADJ
hjic-750	2	82	data	datum	NOUN
hjic-750	2	83	analysis	analysis	NOUN
hjic-750	2	84	.	.	PUNCT
hjic-750	3	1	in	in	ADP
hjic-750	3	2	this	this	DET
hjic-750	3	3	paper	paper	NOUN
hjic-750	3	4	their	their	PRON
hjic-750	3	5	replacement	replacement	NOUN
hjic-750	3	6	with	with	ADP
hjic-750	3	7	unbiased	unbiased	ADJ
hjic-750	3	8	estimators	estimator	NOUN
hjic-750	3	9	at	at	ADP
hjic-750	3	10	least	least	ADJ
hjic-750	3	11	in	in	ADP
hjic-750	3	12	the	the	DET
hjic-750	3	13	case	case	NOUN
hjic-750	3	14	of	of	ADP
hjic-750	3	15	the	the	DET
hjic-750	3	16	estimator	estimator	NOUN
hjic-750	3	17	of	of	ADP
hjic-750	3	18	the	the	DET
hjic-750	3	19	population	population	NOUN
hjic-750	3	20	standard	standard	ADJ
hjic-750	3	21	deviation	deviation	NOUN
hjic-750	3	22	for	for	ADP
hjic-750	3	23	normal	normal	ADJ
hjic-750	3	24	distributions	distribution	NOUN
hjic-750	3	25	is	be	AUX
hjic-750	3	26	proposed	propose	VERB
hjic-750	3	27	.	.	PUNCT
hjic-750	4	1	by	by	ADP
hjic-750	4	2	removing	remove	VERB
hjic-750	4	3	the	the	DET
hjic-750	4	4	incoherence	incoherence	NOUN
hjic-750	4	5	from	from	ADP
hjic-750	4	6	the	the	DET
hjic-750	4	7	student	student	NOUN
hjic-750	4	8	’s	’s	PART
hjic-750	4	9	t	t	PROPN
hjic-750	4	10	-	-	PUNCT
hjic-750	4	11	distribution	distribution	NOUN
hjic-750	4	12	caused	cause	VERB
hjic-750	4	13	by	by	ADP
hjic-750	4	14	the	the	DET
hjic-750	4	15	biased	biased	ADJ
hjic-750	4	16	estimator	estimator	NOUN
hjic-750	4	17	,	,	PUNCT
hjic-750	4	18	a	a	DET
hjic-750	4	19	corrected	correct	VERB
hjic-750	4	20	t	t	NOUN
hjic-750	4	21	-	-	PUNCT
hjic-750	4	22	distribution	distribution	NOUN
hjic-750	4	23	may	may	AUX
hjic-750	4	24	be	be	AUX
hjic-750	4	25	defined	define	VERB
hjic-750	4	26	.	.	PUNCT
hjic-750	5	1	although	although	SCONJ
hjic-750	5	2	the	the	DET
hjic-750	5	3	quantitative	quantitative	ADJ
hjic-750	5	4	results	result	NOUN
hjic-750	5	5	in	in	ADP
hjic-750	5	6	most	most	ADJ
hjic-750	5	7	data	datum	NOUN
hjic-750	5	8	analysis	analysis	NOUN
hjic-750	5	9	applications	application	NOUN
hjic-750	5	10	are	be	AUX
hjic-750	5	11	identical	identical	ADJ
hjic-750	5	12	for	for	ADP
hjic-750	5	13	both	both	CCONJ
hjic-750	5	14	the	the	DET
hjic-750	5	15	original	original	ADJ
hjic-750	5	16	and	and	CCONJ
hjic-750	5	17	corrected	correct	VERB
hjic-750	5	18	tdistributions	tdistribution	NOUN
hjic-750	5	19	,	,	PUNCT
hjic-750	5	20	the	the	DET
hjic-750	5	21	use	use	NOUN
hjic-750	5	22	of	of	ADP
hjic-750	5	23	this	this	DET
hjic-750	5	24	last	last	ADJ
hjic-750	5	25	t	t	NOUN
hjic-750	5	26	-	-	PUNCT
hjic-750	5	27	distribution	distribution	NOUN
hjic-750	5	28	is	be	AUX
hjic-750	5	29	suggested	suggest	VERB
hjic-750	5	30	because	because	SCONJ
hjic-750	5	31	of	of	ADP
hjic-750	5	32	its	its	PRON
hjic-750	5	33	theoretical	theoretical	ADJ
hjic-750	5	34	consistency	consistency	NOUN
hjic-750	5	35	.	.	PUNCT
hjic-750	6	1	moreover	moreover	ADV
hjic-750	6	2	,	,	PUNCT
hjic-750	6	3	the	the	DET
hjic-750	6	4	frequent	frequent	ADJ
hjic-750	6	5	qualitative	qualitative	ADJ
hjic-750	6	6	discussion	discussion	NOUN
hjic-750	6	7	of	of	ADP
hjic-750	6	8	the	the	DET
hjic-750	6	9	t	t	NOUN
hjic-750	6	10	-	-	PUNCT
hjic-750	6	11	distribution	distribution	NOUN
hjic-750	6	12	has	have	AUX
hjic-750	6	13	come	come	VERB
hjic-750	6	14	under	under	ADP
hjic-750	6	15	much	much	ADJ
hjic-750	6	16	criticism	criticism	NOUN
hjic-750	6	17	,	,	PUNCT
hjic-750	6	18	because	because	SCONJ
hjic-750	6	19	it	it	PRON
hjic-750	6	20	concerns	concern	VERB
hjic-750	6	21	artefacts	artefact	NOUN
hjic-750	6	22	of	of	ADP
hjic-750	6	23	the	the	DET
hjic-750	6	24	biased	biased	ADJ
hjic-750	6	25	estimator	estimator	NOUN
hjic-750	6	26	.	.	PUNCT
hjic-750	7	1	in	in	ADP
hjic-750	7	2	the	the	DET
hjic-750	7	3	case	case	NOUN
hjic-750	7	4	of	of	ADP
hjic-750	7	5	geary	geary	PROPN
hjic-750	7	6	’s	’s	PART
hjic-750	7	7	kurtosis	kurtosis	NOUN
hjic-750	7	8	the	the	DET
hjic-750	7	9	same	same	ADJ
hjic-750	7	10	correction	correction	NOUN
hjic-750	7	11	results	result	VERB
hjic-750	7	12	(	(	PUNCT
hjic-750	7	13	2	2	NUM
hjic-750	7	14	/	/	SYM
hjic-750	7	15	π)1/2	π)1/2	VERB
hjic-750	7	16	unbiased	unbiased	ADJ
hjic-750	7	17	estimation	estimation	NOUN
hjic-750	7	18	of	of	ADP
hjic-750	7	19	kurtosis	kurtosis	NOUN
hjic-750	7	20	for	for	ADP
hjic-750	7	21	normally	normally	ADV
hjic-750	7	22	distributed	distribute	VERB
hjic-750	7	23	data	datum	NOUN
hjic-750	7	24	that	that	PRON
hjic-750	7	25	is	be	AUX
hjic-750	7	26	independent	independent	ADJ
hjic-750	7	27	of	of	ADP
hjic-750	7	28	the	the	DET
hjic-750	7	29	size	size	NOUN
hjic-750	7	30	of	of	ADP
hjic-750	7	31	the	the	DET
hjic-750	7	32	sample	sample	NOUN
hjic-750	7	33	.	.	PUNCT
hjic-750	8	1	it	it	PRON
hjic-750	8	2	is	be	AUX
hjic-750	8	3	believed	believe	VERB
hjic-750	8	4	that	that	SCONJ
hjic-750	8	5	by	by	ADP
hjic-750	8	6	removing	remove	VERB
hjic-750	8	7	the	the	DET
hjic-750	8	8	sample	sample	NOUN
hjic-750	8	9	-	-	PUNCT
hjic-750	8	10	size	size	NOUN
hjic-750	8	11	-	-	PUNCT
hjic-750	8	12	dependent	dependent	ADJ
hjic-750	8	13	biased	biased	ADJ
hjic-750	8	14	feature	feature	NOUN
hjic-750	8	15	,	,	PUNCT
hjic-750	8	16	the	the	DET
hjic-750	8	17	applicability	applicability	NOUN
hjic-750	8	18	domain	domain	NOUN
hjic-750	8	19	can	can	AUX
hjic-750	8	20	be	be	AUX
hjic-750	8	21	expanded	expand	VERB
hjic-750	8	22	to	to	PART
hjic-750	8	23	include	include	VERB
hjic-750	8	24	small	small	ADJ
hjic-750	8	25	sample	sample	NOUN
hjic-750	8	26	sizes	size	NOUN
hjic-750	8	27	for	for	ADP
hjic-750	8	28	some	some	DET
hjic-750	8	29	normality	normality	NOUN
hjic-750	8	30	tests	test	NOUN
hjic-750	8	31	.	.	PUNCT
hjic-750	9	1	keywords	keyword	NOUN
hjic-750	9	2	:	:	PUNCT
hjic-750	9	3	unbiased	unbiased	ADJ
hjic-750	9	4	estimator	estimator	NOUN
hjic-750	9	5	,	,	PUNCT
hjic-750	9	6	normal	normal	ADJ
hjic-750	9	7	distribution	distribution	NOUN
hjic-750	9	8	,	,	PUNCT
hjic-750	9	9	anscombe	anscombe	NOUN
hjic-750	9	10	-	-	PUNCT
hjic-750	9	11	glynn	glynn	PROPN
hjic-750	9	12	test	test	NOUN
hjic-750	9	13	,	,	PUNCT
hjic-750	9	14	jarque	jarque	NOUN
hjic-750	9	15	-	-	PUNCT
hjic-750	9	16	bera	bera	NOUN
hjic-750	9	17	test	test	NOUN
hjic-750	9	18	,	,	PUNCT
hjic-750	9	19	bonett	bonett	ADJ
hjic-750	9	20	-	-	PUNCT
hjic-750	9	21	seier	seier	NOUN
hjic-750	9	22	test	test	NOUN
hjic-750	9	23	1	1	NUM
hjic-750	9	24	.	.	PUNCT
hjic-750	9	25	introduction	introduction	NOUN
hjic-750	9	26	the	the	DET
hjic-750	9	27	student	student	NOUN
hjic-750	9	28	's	's	PART
hjic-750	9	29	t	t	NOUN
hjic-750	9	30	-	-	PUNCT
hjic-750	9	31	distribution	distribution	NOUN
hjic-750	9	32	[	[	NOUN
hjic-750	9	33	1	1	NUM
hjic-750	9	34	]	]	PUNCT
hjic-750	9	35	is	be	AUX
hjic-750	9	36	one	one	NUM
hjic-750	9	37	of	of	ADP
hjic-750	9	38	the	the	DET
hjic-750	9	39	most	most	ADV
hjic-750	9	40	widely	widely	ADV
hjic-750	9	41	used	use	VERB
hjic-750	9	42	statistical	statistical	ADJ
hjic-750	9	43	functions	function	NOUN
hjic-750	9	44	in	in	ADP
hjic-750	9	45	experimental	experimental	ADJ
hjic-750	9	46	practice	practice	NOUN
hjic-750	9	47	.	.	PUNCT
hjic-750	10	1	it	it	PRON
hjic-750	10	2	is	be	AUX
hjic-750	10	3	well	well	ADV
hjic-750	10	4	documented	document	VERB
hjic-750	10	5	that	that	SCONJ
hjic-750	10	6	experts	expert	NOUN
hjic-750	10	7	active	active	ADJ
hjic-750	10	8	in	in	ADP
hjic-750	10	9	analytical	analytical	ADJ
hjic-750	10	10	,	,	PUNCT
hjic-750	10	11	physical	physical	ADJ
hjic-750	10	12	and	and	CCONJ
hjic-750	10	13	clinical	clinical	ADJ
hjic-750	10	14	chemistry	chemistry	NOUN
hjic-750	10	15	,	,	PUNCT
hjic-750	10	16	biology	biology	NOUN
hjic-750	10	17	,	,	PUNCT
hjic-750	10	18	agriculture	agriculture	NOUN
hjic-750	10	19	,	,	PUNCT
hjic-750	10	20	ecology	ecology	NOUN
hjic-750	10	21	,	,	PUNCT
hjic-750	10	22	economy	economy	NOUN
hjic-750	10	23	as	as	ADV
hjic-750	10	24	well	well	ADV
hjic-750	10	25	as	as	ADP
hjic-750	10	26	forensic	forensic	ADJ
hjic-750	10	27	science	science	NOUN
hjic-750	10	28	or	or	CCONJ
hjic-750	10	29	even	even	ADV
hjic-750	10	30	legal	legal	ADJ
hjic-750	10	31	representatives	representative	NOUN
hjic-750	10	32	apply	apply	VERB
hjic-750	10	33	this	this	DET
hjic-750	10	34	tool	tool	NOUN
hjic-750	10	35	to	to	PART
hjic-750	10	36	formulate	formulate	VERB
hjic-750	10	37	solid	solid	ADJ
hjic-750	10	38	statements	statement	NOUN
hjic-750	10	39	,	,	PUNCT
hjic-750	10	40	e.g.	e.g.	ADV
hjic-750	10	41	population	population	NOUN
hjic-750	10	42	means	mean	VERB
hjic-750	10	43	,	,	PUNCT
hjic-750	10	44	to	to	PART
hjic-750	10	45	differentiate	differentiate	VERB
hjic-750	10	46	between	between	ADP
hjic-750	10	47	two	two	NUM
hjic-750	10	48	sample	sample	NOUN
hjic-750	10	49	means	mean	NOUN
hjic-750	10	50	,	,	PUNCT
hjic-750	10	51	etc	etc	X
hjic-750	10	52	.	.	X
hjic-750	10	53	,	,	PUNCT
hjic-750	10	54	which	which	PRON
hjic-750	10	55	are	be	AUX
hjic-750	10	56	in	in	ADP
hjic-750	10	57	most	most	ADJ
hjic-750	10	58	cases	case	NOUN
hjic-750	10	59	necessarily	necessarily	ADV
hjic-750	10	60	based	base	VERB
hjic-750	10	61	on	on	ADP
hjic-750	10	62	a	a	DET
hjic-750	10	63	limited	limited	ADJ
hjic-750	10	64	number	number	NOUN
hjic-750	10	65	of	of	ADP
hjic-750	10	66	observations	observation	NOUN
hjic-750	10	67	.	.	PUNCT
hjic-750	11	1	fortunately	fortunately	ADV
hjic-750	11	2	,	,	PUNCT
hjic-750	11	3	scientists	scientist	NOUN
hjic-750	11	4	are	be	AUX
hjic-750	11	5	in	in	ADP
hjic-750	11	6	this	this	DET
hjic-750	11	7	respect	respect	NOUN
hjic-750	11	8	soundly	soundly	ADV
hjic-750	11	9	supported	support	VERB
hjic-750	11	10	by	by	ADP
hjic-750	11	11	a	a	DET
hjic-750	11	12	lot	lot	NOUN
hjic-750	11	13	of	of	ADP
hjic-750	11	14	textbooks	textbook	NOUN
hjic-750	11	15	,	,	PUNCT
hjic-750	11	16	standards	standard	NOUN
hjic-750	11	17	,	,	PUNCT
hjic-750	11	18	software	software	NOUN
hjic-750	11	19	,	,	PUNCT
hjic-750	11	20	software	software	NOUN
hjic-750	11	21	systems	system	NOUN
hjic-750	11	22	,	,	PUNCT
hjic-750	11	23	and	and	CCONJ
hjic-750	11	24	last	last	ADJ
hjic-750	11	25	but	but	CCONJ
hjic-750	11	26	not	not	PART
hjic-750	11	27	least	least	ADV
hjic-750	11	28	trained	train	VERB
hjic-750	11	29	in	in	ADP
hjic-750	11	30	elements	element	NOUN
hjic-750	11	31	of	of	ADP
hjic-750	11	32	statistics	statistic	NOUN
hjic-750	11	33	.	.	PUNCT
hjic-750	12	1	however	however	ADV
hjic-750	12	2	,	,	PUNCT
hjic-750	12	3	it	it	PRON
hjic-750	12	4	should	should	AUX
hjic-750	12	5	be	be	AUX
hjic-750	12	6	a	a	DET
hjic-750	12	7	moral	moral	ADJ
hjic-750	12	8	obligation	obligation	NOUN
hjic-750	12	9	to	to	PART
hjic-750	12	10	be	be	AUX
hjic-750	12	11	aware	aware	ADJ
hjic-750	12	12	of	of	ADP
hjic-750	12	13	the	the	DET
hjic-750	12	14	evolution	evolution	NOUN
hjic-750	12	15	of	of	ADP
hjic-750	12	16	this	this	DET
hjic-750	12	17	routinely	routinely	ADV
hjic-750	12	18	used	use	VERB
hjic-750	12	19	method	method	NOUN
hjic-750	12	20	,	,	PUNCT
hjic-750	12	21	its	its	PRON
hjic-750	12	22	principles	principle	NOUN
hjic-750	12	23	and	and	CCONJ
hjic-750	12	24	often	often	ADV
hjic-750	12	25	tacitly	tacitly	ADV
hjic-750	12	26	supposed	suppose	VERB
hjic-750	12	27	assumptions	assumption	NOUN
hjic-750	12	28	.	.	PUNCT
hjic-750	13	1	although	although	SCONJ
hjic-750	13	2	not	not	PART
hjic-750	13	3	crucial	crucial	ADJ
hjic-750	13	4	in	in	ADP
hjic-750	13	5	daily	daily	ADJ
hjic-750	13	6	use	use	NOUN
hjic-750	13	7	,	,	PUNCT
hjic-750	13	8	it	it	PRON
hjic-750	13	9	is	be	AUX
hjic-750	13	10	worthwhile	worthwhile	ADJ
hjic-750	13	11	to	to	PART
hjic-750	13	12	know	know	VERB
hjic-750	13	13	that	that	SCONJ
hjic-750	13	14	besides	besides	SCONJ
hjic-750	13	15	student	student	NOUN
hjic-750	13	16	’s	’s	PART
hjic-750	13	17	t	t	NOUN
hjic-750	13	18	-	-	PUNCT
hjic-750	13	19	distribution	distribution	NOUN
hjic-750	13	20	there	there	PRON
hjic-750	13	21	are	be	VERB
hjic-750	13	22	different	different	ADJ
hjic-750	13	23	functions	function	NOUN
hjic-750	13	24	which	which	PRON
hjic-750	13	25	may	may	AUX
hjic-750	13	26	be	be	AUX
hjic-750	13	27	suitable	suitable	ADJ
hjic-750	13	28	for	for	ADP
hjic-750	13	29	the	the	DET
hjic-750	13	30	determination	determination	NOUN
hjic-750	13	31	of	of	ADP
hjic-750	13	32	percentiles	percentile	NOUN
hjic-750	13	33	in	in	ADP
hjic-750	13	34	the	the	DET
hjic-750	13	35	same	same	ADJ
hjic-750	13	36	way	way	NOUN
hjic-750	13	37	as	as	ADP
hjic-750	13	38	the	the	DET
hjic-750	13	39	t	t	NOUN
hjic-750	13	40	-	-	PUNCT
hjic-750	13	41	distribution	distribution	NOUN
hjic-750	13	42	.	.	PUNCT
hjic-750	14	1	they	they	PRON
hjic-750	14	2	may	may	AUX
hjic-750	14	3	differ	differ	VERB
hjic-750	14	4	mainly	mainly	ADV
hjic-750	14	5	in	in	ADP
hjic-750	14	6	terms	term	NOUN
hjic-750	14	7	of	of	ADP
hjic-750	14	8	alternate	alternate	ADJ
hjic-750	14	9	estimators	estimator	NOUN
hjic-750	14	10	for	for	ADP
hjic-750	14	11	the	the	DET
hjic-750	14	12	population	population	NOUN
hjic-750	14	13	mean	mean	VERB
hjic-750	14	14	and	and	CCONJ
hjic-750	14	15	population	population	NOUN
hjic-750	14	16	standard	standard	ADJ
hjic-750	14	17	deviation	deviation	NOUN
hjic-750	14	18	.	.	PUNCT
hjic-750	15	1	an	an	DET
hjic-750	15	2	attractive	attractive	ADJ
hjic-750	15	3	variant	variant	NOUN
hjic-750	15	4	is	be	AUX
hjic-750	15	5	presented	present	VERB
hjic-750	15	6	in	in	ADP
hjic-750	15	7	this	this	DET
hjic-750	15	8	work	work	NOUN
hjic-750	15	9	emphasizing	emphasize	VERB
hjic-750	15	10	its	its	PRON
hjic-750	15	11	theoretically	theoretically	ADV
hjic-750	15	12	fully	fully	ADV
hjic-750	15	13	consistent	consistent	ADJ
hjic-750	15	14	feature	feature	NOUN
hjic-750	15	15	on	on	ADP
hjic-750	15	16	the	the	DET
hjic-750	15	17	contrary	contrary	NOUN
hjic-750	15	18	to	to	ADP
hjic-750	15	19	the	the	DET
hjic-750	15	20	student	student	NOUN
hjic-750	15	21	's	's	PART
hjic-750	15	22	t	t	NOUN
hjic-750	15	23	-	-	PUNCT
hjic-750	15	24	distribution	distribution	NOUN
hjic-750	15	25	.	.	PUNCT
hjic-750	16	1	*	*	PUNCT
hjic-750	16	2	correspondence	correspondence	NOUN
hjic-750	16	3	:	:	PUNCT
hjic-750	16	4	toth@chem.elte.hu	toth@chem.elte.hu	VERB
hjic-750	16	5	the	the	DET
hjic-750	16	6	student	student	NOUN
hjic-750	16	7	’s	’s	PART
hjic-750	16	8	t	t	NOUN
hjic-750	16	9	-	-	PUNCT
hjic-750	16	10	distribution	distribution	NOUN
hjic-750	16	11	corresponds	correspond	NOUN
hjic-750	16	12	to	to	ADP
hjic-750	16	13	a	a	DET
hjic-750	16	14	ratio	ratio	NOUN
hjic-750	16	15	of	of	ADP
hjic-750	16	16	normally	normally	ADV
hjic-750	16	17	distributed	distribute	VERB
hjic-750	16	18	random	random	ADJ
hjic-750	16	19	variables	variable	NOUN
hjic-750	16	20	to	to	ADP
hjic-750	16	21	chidistributed	chidistribute	VERB
hjic-750	16	22	random	random	ADJ
hjic-750	16	23	variables	variable	NOUN
hjic-750	16	24	(	(	PUNCT
hjic-750	16	25	see	see	VERB
hjic-750	16	26	the	the	DET
hjic-750	16	27	references	reference	NOUN
hjic-750	16	28	in	in	ADP
hjic-750	16	29	the	the	DET
hjic-750	16	30	historical	historical	ADJ
hjic-750	16	31	review	review	NOUN
hjic-750	16	32	of	of	ADP
hjic-750	16	33	zabell	zabell	PROPN
hjic-750	17	1	[	[	X
hjic-750	17	2	2	2	NUM
hjic-750	17	3	]	]	NUM
hjic-750	17	4	)	)	PUNCT
hjic-750	17	5	.	.	PUNCT
hjic-750	18	1	chi	chi	NOUN
hjic-750	18	2	-	-	PUNCT
hjic-750	18	3	distributed	distribute	VERB
hjic-750	18	4	variables	variable	NOUN
hjic-750	18	5	postulate	postulate	VERB
hjic-750	18	6	normally	normally	ADV
hjic-750	18	7	distributed	distribute	VERB
hjic-750	18	8	data	datum	NOUN
hjic-750	18	9	as	as	ADV
hjic-750	18	10	well	well	ADV
hjic-750	18	11	.	.	PUNCT
hjic-750	19	1	gosset	gosset	VERB
hjic-750	20	1	[	[	X
hjic-750	20	2	1	1	X
hjic-750	20	3	]	]	PUNCT
hjic-750	20	4	used	use	VERB
hjic-750	20	5	in	in	ADP
hjic-750	20	6	his	his	PRON
hjic-750	20	7	definition	definition	NOUN
hjic-750	20	8	an	an	DET
hjic-750	20	9	estimate	estimate	NOUN
hjic-750	20	10	of	of	ADP
hjic-750	20	11	the	the	DET
hjic-750	20	12	standard	standard	ADJ
hjic-750	20	13	deviation	deviation	NOUN
hjic-750	20	14	which	which	PRON
hjic-750	20	15	is	be	AUX
hjic-750	20	16	biased	bias	VERB
hjic-750	20	17	relating	relate	VERB
hjic-750	20	18	the	the	DET
hjic-750	20	19	population	population	NOUN
hjic-750	20	20	standard	standard	ADJ
hjic-750	20	21	deviation	deviation	NOUN
hjic-750	20	22	and	and	CCONJ
hjic-750	20	23	even	even	ADV
hjic-750	20	24	the	the	DET
hjic-750	20	25	variance	variance	NOUN
hjic-750	20	26	in	in	ADP
hjic-750	20	27	the	the	DET
hjic-750	20	28	case	case	NOUN
hjic-750	20	29	of	of	ADP
hjic-750	20	30	normally	normally	ADV
hjic-750	20	31	distributed	distribute	VERB
hjic-750	20	32	random	random	ADJ
hjic-750	20	33	variables	variable	NOUN
hjic-750	20	34	as	as	SCONJ
hjic-750	20	35	was	be	AUX
hjic-750	20	36	shown	show	VERB
hjic-750	20	37	earlier	early	ADV
hjic-750	20	38	by	by	ADP
hjic-750	20	39	helmert	helmert	PROPN
hjic-750	21	1	[	[	X
hjic-750	21	2	3	3	NUM
hjic-750	21	3	-	-	SYM
hjic-750	21	4	4	4	NUM
hjic-750	21	5	]	]	PUNCT
hjic-750	21	6	.	.	PUNCT
hjic-750	22	1	amazingly	amazingly	ADV
hjic-750	22	2	,	,	PUNCT
hjic-750	22	3	when	when	SCONJ
hjic-750	22	4	fischer	fischer	PROPN
hjic-750	22	5	proposed	propose	VERB
hjic-750	22	6	a	a	DET
hjic-750	22	7	transformation	transformation	NOUN
hjic-750	22	8	of	of	ADP
hjic-750	22	9	gosset	gosset	NOUN
hjic-750	22	10	’s	’s	PART
hjic-750	22	11	original	original	ADJ
hjic-750	22	12	z	z	NOUN
hjic-750	22	13	variable	variable	NOUN
hjic-750	22	14	to	to	ADP
hjic-750	22	15	1	1	NUM
hjic-750	22	16	nzt	nzt	ADV
hjic-750	23	1	[	[	X
hjic-750	23	2	5	5	NUM
hjic-750	23	3	-	-	SYM
hjic-750	23	4	6	6	NUM
hjic-750	23	5	]	]	PUNCT
hjic-750	23	6	,	,	PUNCT
hjic-750	23	7	he	he	PRON
hjic-750	23	8	chose	choose	VERB
hjic-750	23	9	an	an	DET
hjic-750	23	10	estimate	estimate	NOUN
hjic-750	23	11	for	for	ADP
hjic-750	23	12	the	the	DET
hjic-750	23	13	standard	standard	ADJ
hjic-750	23	14	deviation	deviation	NOUN
hjic-750	23	15	which	which	PRON
hjic-750	23	16	is	be	AUX
hjic-750	23	17	also	also	ADV
hjic-750	23	18	biased	bias	VERB
hjic-750	23	19	relating	relate	VERB
hjic-750	23	20	σ	σ	PROPN
hjic-750	23	21	.	.	PUNCT
hjic-750	24	1	a	a	DET
hjic-750	24	2	corrected	correct	VERB
hjic-750	24	3	tcdistribution	tcdistribution	NOUN
hjic-750	24	4	is	be	AUX
hjic-750	24	5	proposed	propose	VERB
hjic-750	24	6	that	that	SCONJ
hjic-750	24	7	fulfils	fulfil	VERB
hjic-750	24	8	all	all	DET
hjic-750	24	9	theoretical	theoretical	ADJ
hjic-750	24	10	requirements	requirement	NOUN
hjic-750	24	11	and	and	CCONJ
hjic-750	24	12	yields	yield	NOUN
hjic-750	24	13	a	a	DET
hjic-750	24	14	more	more	ADV
hjic-750	24	15	normal	normal	ADJ
hjic-750	24	16	distribution	distribution	NOUN
hjic-750	24	17	-	-	PUNCT
hjic-750	24	18	like	like	ADJ
hjic-750	24	19	shape	shape	NOUN
hjic-750	24	20	.	.	PUNCT
hjic-750	25	1	it	it	PRON
hjic-750	25	2	is	be	AUX
hjic-750	25	3	consequently	consequently	ADV
hjic-750	25	4	based	base	VERB
hjic-750	25	5	on	on	ADP
hjic-750	25	6	normal	normal	ADJ
hjic-750	25	7	sample	sample	NOUN
hjic-750	25	8	data	datum	NOUN
hjic-750	25	9	and	and	CCONJ
hjic-750	25	10	uses	use	VERB
hjic-750	25	11	an	an	DET
hjic-750	25	12	unbiased	unbiased	ADJ
hjic-750	25	13	estimator	estimator	NOUN
hjic-750	25	14	.	.	PUNCT
hjic-750	26	1	a	a	DET
hjic-750	26	2	similar	similar	ADJ
hjic-750	26	3	correction	correction	NOUN
hjic-750	26	4	can	can	AUX
hjic-750	26	5	be	be	AUX
hjic-750	26	6	applied	apply	VERB
hjic-750	26	7	to	to	ADP
hjic-750	26	8	geary	geary	PROPN
hjic-750	26	9	’s	’s	PART
hjic-750	26	10	kurtosis	kurtosis	NOUN
hjic-750	26	11	that	that	PRON
hjic-750	26	12	is	be	AUX
hjic-750	26	13	the	the	DET
hjic-750	26	14	ratio	ratio	NOUN
hjic-750	26	15	of	of	ADP
hjic-750	26	16	the	the	DET
hjic-750	26	17	mean	mean	ADJ
hjic-750	26	18	deviation	deviation	NOUN
hjic-750	26	19	to	to	ADP
hjic-750	26	20	the	the	DET
hjic-750	26	21	standard	standard	ADJ
hjic-750	26	22	deviation	deviation	NOUN
hjic-750	26	23	[	[	X
hjic-750	26	24	7	7	NUM
hjic-750	26	25	]	]	PUNCT
hjic-750	26	26	.	.	PUNCT
hjic-750	27	1	in	in	ADP
hjic-750	27	2	this	this	DET
hjic-750	27	3	work	work	NOUN
hjic-750	27	4	the	the	DET
hjic-750	27	5	use	use	NOUN
hjic-750	27	6	of	of	ADP
hjic-750	27	7	the	the	DET
hjic-750	27	8	correction	correction	NOUN
hjic-750	27	9	is	be	AUX
hjic-750	27	10	proposed	propose	VERB
hjic-750	27	11	in	in	ADP
hjic-750	27	12	order	order	NOUN
hjic-750	27	13	to	to	PART
hjic-750	27	14	eliminate	eliminate	VERB
hjic-750	27	15	the	the	DET
hjic-750	27	16	sample	sample	NOUN
hjic-750	27	17	-	-	PUNCT
hjic-750	27	18	size	size	NOUN
hjic-750	27	19	dependency	dependency	NOUN
hjic-750	27	20	of	of	ADP
hjic-750	27	21	the	the	DET
hjic-750	27	22	mean	mean	PROPN
hjic-750	27	23	geary	geary	PROPN
hjic-750	27	24	’s	’s	PART
hjic-750	27	25	kurtosis	kurtosis	NOUN
hjic-750	27	26	on	on	ADP
hjic-750	27	27	normally	normally	ADV
hjic-750	27	28	distributed	distribute	VERB
hjic-750	27	29	data	datum	NOUN
hjic-750	27	30	.	.	PUNCT
hjic-750	28	1	finally	finally	ADV
hjic-750	28	2	,	,	PUNCT
hjic-750	28	3	some	some	DET
hjic-750	28	4	remarks	remark	NOUN
hjic-750	28	5	are	be	AUX
hjic-750	28	6	made	make	VERB
hjic-750	28	7	on	on	ADP
hjic-750	28	8	statistical	statistical	ADJ
hjic-750	28	9	tests	test	NOUN
hjic-750	28	10	based	base	VERB
hjic-750	28	11	on	on	ADP
hjic-750	28	12	sample	sample	NOUN
hjic-750	28	13	-	-	PUNCT
hjic-750	28	14	size	size	NOUN
hjic-750	28	15	dependent	dependent	ADJ
hjic-750	28	16	values	value	NOUN
hjic-750	28	17	in	in	ADP
hjic-750	28	18	order	order	NOUN
hjic-750	28	19	to	to	PART
hjic-750	28	20	extend	extend	VERB
hjic-750	28	21	their	their	PRON
hjic-750	28	22	applicability	applicability	NOUN
hjic-750	28	23	to	to	ADP
hjic-750	28	24	small	small	ADJ
hjic-750	28	25	sample	sample	NOUN
hjic-750	28	26	sizes	size	NOUN
hjic-750	28	27	.	.	PUNCT
hjic-750	29	1	tóth	tóth	NOUN
hjic-750	29	2	and	and	CCONJ
hjic-750	29	3	szepesváry	szepesváry	PROPN
hjic-750	29	4	hungarian	hungarian	ADJ
hjic-750	29	5	journal	journal	PROPN
hjic-750	29	6	of	of	ADP
hjic-750	29	7	industry	industry	NOUN
hjic-750	29	8	and	and	CCONJ
hjic-750	29	9	chemistry	chemistry	NOUN
hjic-750	29	10	24	24	NUM
hjic-750	29	11	2	2	NUM
hjic-750	29	12	.	.	PUNCT
hjic-750	30	1	theoretical	theoretical	ADJ
hjic-750	30	2	background	background	NOUN
hjic-750	30	3	the	the	DET
hjic-750	30	4	square	square	ADJ
hjic-750	30	5	root	root	NOUN
hjic-750	30	6	of	of	ADP
hjic-750	30	7	the	the	DET
hjic-750	30	8	mean	mean	NOUN
hjic-750	30	9	of	of	ADP
hjic-750	30	10	the	the	DET
hjic-750	30	11	square	square	NOUN
hjic-750	30	12	of	of	ADP
hjic-750	30	13	the	the	DET
hjic-750	30	14	centred	centred	ADJ
hjic-750	30	15	observations	observation	NOUN
hjic-750	30	16	of	of	ADP
hjic-750	30	17	the	the	DET
hjic-750	30	18	random	random	ADJ
hjic-750	30	19	variable	variable	NOUN
hjic-750	30	20	,	,	PUNCT
hjic-750	30	21	y	y	PROPN
hjic-750	30	22	,	,	PUNCT
hjic-750	30	23			NOUN
hjic-750	30	24			PROPN
hjic-750	30	25	n	n	PROPN
hjic-750	30	26	yy	yy	PROPN
hjic-750	30	27	s	s	VERB
hjic-750	30	28	n	n	INTJ
hjic-750	31	1	i	i	PRON
hjic-750	31	2	i	i	PRON
hjic-750	31	3	n	n	VERB
hjic-750	31	4			X
hjic-750	31	5			NUM
hjic-750	31	6			VERB
hjic-750	31	7			NOUN
hjic-750	31	8	1	1	NUM
hjic-750	31	9	2	2	NUM
hjic-750	31	10	(	(	PUNCT
hjic-750	31	11	1	1	NUM
hjic-750	31	12	)	)	PUNCT
hjic-750	31	13	may	may	AUX
hjic-750	31	14	be	be	AUX
hjic-750	31	15	an	an	DET
hjic-750	31	16	estimator	estimator	NOUN
hjic-750	31	17	of	of	ADP
hjic-750	31	18	the	the	DET
hjic-750	31	19	population	population	NOUN
hjic-750	31	20	standard	standard	ADJ
hjic-750	31	21	deviation	deviation	NOUN
hjic-750	31	22	,	,	PUNCT
hjic-750	31	23	σ	σ	PROPN
hjic-750	31	24	,	,	PUNCT
hjic-750	31	25	of	of	ADP
hjic-750	31	26	a	a	DET
hjic-750	31	27	sample	sample	NOUN
hjic-750	31	28	.	.	PUNCT
hjic-750	32	1	n	n	PRON
hjic-750	32	2	is	be	AUX
hjic-750	32	3	the	the	DET
hjic-750	32	4	sample	sample	NOUN
hjic-750	32	5	size	size	NOUN
hjic-750	32	6	and	and	CCONJ
hjic-750	32	7	y	y	PROPN
hjic-750	32	8	denotes	denote	VERB
hjic-750	32	9	the	the	DET
hjic-750	32	10	sample	sample	NOUN
hjic-750	32	11	mean	mean	VERB
hjic-750	32	12	.	.	PUNCT
hjic-750	33	1	bessel	bessel	NOUN
hjic-750	33	2	pointed	point	VERB
hjic-750	33	3	long	long	ADV
hjic-750	33	4	before	before	ADV
hjic-750	33	5	to	to	ADP
hjic-750	33	6	the	the	DET
hjic-750	33	7	bias	bias	NOUN
hjic-750	33	8	of	of	ADP
hjic-750	33	9	sn	sn	PROPN
hjic-750	33	10	and	and	CCONJ
hjic-750	33	11	proposed	propose	VERB
hjic-750	33	12	:	:	PUNCT
hjic-750	33	13			NOUN
hjic-750	33	14			SYM
hjic-750	33	15	1	1	NUM
hjic-750	33	16	1	1	NUM
hjic-750	33	17	2	2	NUM
hjic-750	33	18			PROPN
hjic-750	33	19			NOUN
hjic-750	33	20			PRON
hjic-750	33	21			X
hjic-750	34	1			NOUN
hjic-750	35	1	n	n	INTJ
hjic-750	35	2	yy	yy	PROPN
hjic-750	35	3	s	s	VERB
hjic-750	35	4	n	n	NOUN
hjic-750	36	1	i	i	PRON
hjic-750	36	2	i	i	INTJ
hjic-750	36	3	.	.	PUNCT
hjic-750	37	1	(	(	PUNCT
hjic-750	37	2	2	2	X
hjic-750	37	3	)	)	PUNCT
hjic-750	37	4	although	although	SCONJ
hjic-750	37	5	�	�	PROPN
hjic-750	37	6	�	�	PROPN
hjic-750	37	7	is	be	AUX
hjic-750	37	8	already	already	ADV
hjic-750	37	9	an	an	DET
hjic-750	37	10	unbiased	unbiased	ADJ
hjic-750	37	11	estimator	estimator	NOUN
hjic-750	37	12	of	of	ADP
hjic-750	37	13	the	the	DET
hjic-750	37	14	variance	variance	NOUN
hjic-750	37	15	,	,	PUNCT
hjic-750	37	16	�	�	PROPN
hjic-750	37	17	�	�	PROPN
hjic-750	37	18	,	,	PUNCT
hjic-750	37	19	irrespective	irrespective	ADV
hjic-750	37	20	of	of	ADP
hjic-750	37	21	the	the	DET
hjic-750	37	22	distribution	distribution	NOUN
hjic-750	37	23	of	of	ADP
hjic-750	37	24	y	y	PROPN
hjic-750	37	25	,	,	PUNCT
hjic-750	37	26	the	the	DET
hjic-750	37	27	statistics	statistic	NOUN
hjic-750	37	28	�	�	PROPN
hjic-750	37	29	�	�	PROPN
hjic-750	37	30	and	and	CCONJ
hjic-750	37	31	�	�	PROPN
hjic-750	37	32	are	be	AUX
hjic-750	37	33	both	both	PRON
hjic-750	37	34	biased	biased	ADJ
hjic-750	37	35	in	in	ADP
hjic-750	37	36	terms	term	NOUN
hjic-750	37	37	of	of	ADP
hjic-750	37	38	the	the	DET
hjic-750	37	39	standard	standard	ADJ
hjic-750	37	40	deviation	deviation	NOUN
hjic-750	37	41	,	,	PUNCT
hjic-750	37	42	�	�	PROPN
hjic-750	37	43	.	.	PUNCT
hjic-750	38	1	however	however	ADV
hjic-750	38	2	,	,	PUNCT
hjic-750	38	3	there	there	PRON
hjic-750	38	4	is	be	VERB
hjic-750	38	5	a	a	DET
hjic-750	38	6	correction	correction	NOUN
hjic-750	38	7	[	[	X
hjic-750	38	8	5	5	NUM
hjic-750	38	9	-	-	SYM
hjic-750	38	10	6	6	NUM
hjic-750	38	11	,	,	PUNCT
hjic-750	38	12	89	89	NUM
hjic-750	38	13	]	]	NUM
hjic-750	38	14	:	:	PUNCT
hjic-750	38	15	,	,	PUNCT
hjic-750	38	16	2	2	NUM
hjic-750	38	17	1	1	NUM
hjic-750	38	18	2	2	NUM
hjic-750	38	19	1	1	NUM
hjic-750	38	20	2	2	NUM
hjic-750	38	21	)	)	PUNCT
hjic-750	38	22	(	(	PUNCT
hjic-750	38	23	4	4	NUM
hjic-750	38	24			NOUN
hjic-750	38	25			NOUN
hjic-750	38	26			PRON
hjic-750	38	27			PROPN
hjic-750	38	28			PROPN
hjic-750	38	29			NOUN
hjic-750	38	30			PROPN
hjic-750	38	31			PUNCT
hjic-750	38	32			NUM
hjic-750	38	33			NOUN
hjic-750	38	34			PRON
hjic-750	38	35			PROPN
hjic-750	38	36			PROPN
hjic-750	38	37			NOUN
hjic-750	38	38			VERB
hjic-750	38	39			NOUN
hjic-750	38	40			NUM
hjic-750	38	41	n	n	CCONJ
hjic-750	38	42	n	n	CCONJ
hjic-750	38	43	n	n	PROPN
hjic-750	38	44	nc	nc	PROPN
hjic-750	38	45	(	(	PUNCT
hjic-750	38	46	3	3	NUM
hjic-750	38	47	)	)	PUNCT
hjic-750	38	48	which	which	PRON
hjic-750	38	49	applies	apply	VERB
hjic-750	38	50	to	to	ADP
hjic-750	38	51	�	�	PROPN
hjic-750	38	52	by	by	ADP
hjic-750	38	53	transforming	transform	VERB
hjic-750	38	54	it	it	PRON
hjic-750	38	55	,	,	PUNCT
hjic-750	38	56	in	in	ADP
hjic-750	38	57	the	the	DET
hjic-750	38	58	case	case	NOUN
hjic-750	38	59	of	of	ADP
hjic-750	38	60	normally	normally	ADV
hjic-750	38	61	distributed	distribute	VERB
hjic-750	38	62	variables	variable	NOUN
hjic-750	38	63	,	,	PUNCT
hjic-750	38	64	into	into	ADP
hjic-750	38	65	an	an	DET
hjic-750	38	66	unbiased	unbiased	ADJ
hjic-750	38	67	statistic	statistic	NOUN
hjic-750	38	68	:	:	PUNCT
hjic-750	38	69			NOUN
hjic-750	38	70	nc	nc	PRON
hjic-750	38	71	s	s	PART
hjic-750	38	72	s	s	NOUN
hjic-750	38	73	4	4	NUM
hjic-750	38	74	c	c	NOUN
hjic-750	38	75			NOUN
hjic-750	38	76	.	.	PUNCT
hjic-750	39	1	(	(	PUNCT
hjic-750	39	2	4	4	X
hjic-750	39	3	)	)	PUNCT
hjic-750	39	4			NOUN
hjic-750	39	5	nc4	nc4	PROPN
hjic-750	39	6	follows	follow	VERB
hjic-750	39	7	from	from	ADP
hjic-750	39	8	helmert	helmert	PROPN
hjic-750	39	9	’s	’s	PART
hjic-750	39	10	papers	paper	NOUN
hjic-750	39	11	or	or	CCONJ
hjic-750	39	12	cochran	cochran	NOUN
hjic-750	39	13	's	's	PART
hjic-750	39	14	theorem	theorem	NOUN
hjic-750	39	15	[	[	X
hjic-750	39	16	10	10	NUM
hjic-750	39	17	]	]	PUNCT
hjic-750	39	18	.	.	PUNCT
hjic-750	40	1	for	for	ADP
hjic-750	40	2	normally	normally	ADV
hjic-750	40	3	distributed	distribute	VERB
hjic-750	40	4	y	y	PROPN
hjic-750	40	5	,	,	PUNCT
hjic-750	40	6	)	)	PUNCT
hjic-750	40	7	(	(	PUNCT
hjic-750	40	8	1	1	NUM
hjic-750	40	9	sn	sn	PROPN
hjic-750	40	10			NOUN
hjic-750	40	11	exhibits	exhibit	VERB
hjic-750	40	12	a	a	DET
hjic-750	40	13	chi	chi	ADJ
hjic-750	40	14	distribution	distribution	NOUN
hjic-750	40	15	with	with	ADP
hjic-750	40	16	n-1	n-1	ADJ
hjic-750	40	17	degrees	degree	NOUN
hjic-750	40	18	of	of	ADP
hjic-750	40	19	freedom	freedom	NOUN
hjic-750	40	20	.	.	PUNCT
hjic-750	41	1			NOUN
hjic-750	41	2	nc4	nc4	VERB
hjic-750	41	3	is	be	AUX
hjic-750	41	4	the	the	DET
hjic-750	41	5	expected	expect	VERB
hjic-750	41	6	value	value	NOUN
hjic-750	41	7	of	of	ADP
hjic-750	41	8	s	s	PROPN
hjic-750	41	9	/	/	SYM
hjic-750	41	10	σ	σ	PROPN
hjic-750	41	11	.	.	PUNCT
hjic-750	42	1	there	there	PRON
hjic-750	42	2	is	be	VERB
hjic-750	42	3	a	a	DET
hjic-750	42	4			PROPN
hjic-750	42	5	nc2	nc2	PUNCT
hjic-750	42	6	value	value	NOUN
hjic-750	42	7	as	as	ADV
hjic-750	42	8	well	well	ADV
hjic-750	42	9	,	,	PUNCT
hjic-750	42	10	that	that	PRON
hjic-750	42	11	is	be	AUX
hjic-750	42	12	equal	equal	ADJ
hjic-750	42	13	to	to	ADP
hjic-750	42	14	the	the	DET
hjic-750	42	15	expected	expect	VERB
hjic-750	42	16	value	value	NOUN
hjic-750	42	17	of	of	ADP
hjic-750	42	18	�	�	PROPN
hjic-750	42	19	�	�	PROPN
hjic-750	42	20	�	�	PROPN
hjic-750	42	21	⁄	⁄	PROPN
hjic-750	42	22	.	.	PUNCT
hjic-750	43	1	the	the	DET
hjic-750	43	2	correcting	correct	VERB
hjic-750	43	3	effect	effect	NOUN
hjic-750	43	4	of	of	ADP
hjic-750	43	5			PROPN
hjic-750	43	6	nc4	nc4	PROPN
hjic-750	43	7	may	may	AUX
hjic-750	43	8	be	be	AUX
hjic-750	43	9	considerable	considerable	ADJ
hjic-750	43	10	for	for	ADP
hjic-750	43	11	low	low	ADJ
hjic-750	43	12	values	value	NOUN
hjic-750	43	13	of	of	ADP
hjic-750	43	14	n	n	PROPN
hjic-750	43	15	(	(	PUNCT
hjic-750	43	16	table	table	NOUN
hjic-750	43	17	1	1	NUM
hjic-750	43	18	)	)	PUNCT
hjic-750	43	19	.	.	PUNCT
hjic-750	44	1	table	table	NOUN
hjic-750	44	2	1	1	NUM
hjic-750	44	3	.	.	NUM
hjic-750	44	4	selected	select	VERB
hjic-750	44	5	c4(n	c4(n	PROPN
hjic-750	44	6	)	)	PUNCT
hjic-750	44	7	corrections	correction	NOUN
hjic-750	44	8	n	n	X
hjic-750	44	9	c4(n	c4(n	NOUN
hjic-750	44	10	)	)	PUNCT
hjic-750	44	11	2	2	NUM
hjic-750	44	12	0.7979	0.7979	NUM
hjic-750	44	13	3	3	NUM
hjic-750	44	14	0.8862	0.8862	NUM
hjic-750	44	15	4	4	NUM
hjic-750	44	16	0.9213	0.9213	NUM
hjic-750	44	17	5	5	NUM
hjic-750	44	18	0.9400	0.9400	NUM
hjic-750	44	19	10	10	NUM
hjic-750	44	20	0.9727	0.9727	NUM
hjic-750	44	21	20	20	NUM
hjic-750	44	22	0.9869	0.9869	NUM
hjic-750	44	23	30	30	NUM
hjic-750	44	24	0.9914	0.9914	NUM
hjic-750	44	25	figure	figure	NOUN
hjic-750	44	26	1	1	NUM
hjic-750	44	27	.	.	PUNCT
hjic-750	44	28	student	student	NOUN
hjic-750	44	29	’s	’s	PART
hjic-750	44	30	t	t	PROPN
hjic-750	44	31	-	-	PUNCT
hjic-750	44	32	distribution	distribution	NOUN
hjic-750	44	33	compared	compare	VERB
hjic-750	44	34	with	with	ADP
hjic-750	44	35	the	the	DET
hjic-750	44	36	standard	standard	ADJ
hjic-750	44	37	normal	normal	ADJ
hjic-750	44	38	distribution	distribution	NOUN
hjic-750	44	39	the	the	DET
hjic-750	44	40	correction	correction	NOUN
hjic-750	44	41	term	term	NOUN
hjic-750	44	42	is	be	AUX
hjic-750	44	43	frequently	frequently	ADV
hjic-750	44	44	used	use	VERB
hjic-750	44	45	in	in	ADP
hjic-750	44	46	statistical	statistical	ADJ
hjic-750	44	47	process	process	NOUN
hjic-750	44	48	control	control	NOUN
hjic-750	44	49	(	(	PUNCT
hjic-750	44	50	spc	spc	PROPN
hjic-750	44	51	)	)	PUNCT
hjic-750	44	52	to	to	PART
hjic-750	44	53	define	define	VERB
hjic-750	44	54	±3σ	±3σ	NOUN
hjic-750	44	55	intervals	interval	NOUN
hjic-750	44	56	and	and	CCONJ
hjic-750	44	57	process	process	NOUN
hjic-750	44	58	standard	standard	ADJ
hjic-750	44	59	deviations	deviation	NOUN
hjic-750	44	60	that	that	PRON
hjic-750	44	61	are	be	AUX
hjic-750	44	62	determined	determine	VERB
hjic-750	44	63	for	for	ADP
hjic-750	44	64	samples	sample	NOUN
hjic-750	44	65	of	of	ADP
hjic-750	44	66	different	different	ADJ
hjic-750	44	67	sizes	size	NOUN
hjic-750	44	68	.	.	PUNCT
hjic-750	45	1	3	3	X
hjic-750	45	2	.	.	NOUN
hjic-750	45	3	results	result	NOUN
hjic-750	45	4	and	and	CCONJ
hjic-750	45	5	discussion	discussion	NOUN
hjic-750	45	6	3.1	3.1	NUM
hjic-750	45	7	.	.	PUNCT
hjic-750	46	1	discussion	discussion	NOUN
hjic-750	46	2	of	of	ADP
hjic-750	46	3	the	the	DET
hjic-750	46	4	density	density	NOUN
hjic-750	46	5	functions	function	NOUN
hjic-750	46	6	of	of	ADP
hjic-750	46	7	the	the	DET
hjic-750	46	8	student	student	NOUN
hjic-750	46	9	’s	’s	PART
hjic-750	46	10	t	t	PROPN
hjic-750	46	11	-	-	PUNCT
hjic-750	46	12	distribution	distribution	NOUN
hjic-750	46	13	let	let	VERB
hjic-750	46	14	y	y	PRON
hjic-750	46	15	be	be	AUX
hjic-750	46	16	an	an	DET
hjic-750	46	17	independent	independent	ADJ
hjic-750	46	18	n(μ	n(μ	NOUN
hjic-750	46	19	,	,	PUNCT
hjic-750	46	20	σ2	σ2	ADJ
hjic-750	46	21	)	)	PUNCT
hjic-750	46	22	variable	variable	NOUN
hjic-750	46	23	.	.	PUNCT
hjic-750	47	1	the	the	DET
hjic-750	47	2	ns	ns	PROPN
hjic-750	47	3	y	y	PROPN
hjic-750	47	4	t	t	PROPN
hjic-750	47	5	/	/	SYM
hjic-750	47	6			NOUN
hjic-750	47	7			NOUN
hjic-750	47	8	(	(	PUNCT
hjic-750	47	9	5	5	NUM
hjic-750	47	10	)	)	PUNCT
hjic-750	47	11	statistic	statistic	NOUN
hjic-750	47	12	exhibits	exhibit	VERB
hjic-750	47	13	the	the	DET
hjic-750	47	14	usual	usual	ADJ
hjic-750	47	15	student	student	NOUN
hjic-750	47	16	t	t	NOUN
hjic-750	47	17	-	-	PUNCT
hjic-750	47	18	distribution	distribution	NOUN
hjic-750	47	19	with	with	ADP
hjic-750	47	20	n1	n1	ADJ
hjic-750	47	21	degrees	degree	NOUN
hjic-750	47	22	of	of	ADP
hjic-750	47	23	freedom	freedom	NOUN
hjic-750	47	24	.	.	PUNCT
hjic-750	48	1	the	the	DET
hjic-750	48	2	density	density	NOUN
hjic-750	48	3	function	function	NOUN
hjic-750	48	4	(	(	PUNCT
hjic-750	48	5	eq.(6	eq.(6	ADJ
hjic-750	48	6	)	)	PUNCT
hjic-750	48	7	)	)	PUNCT
hjic-750	48	8	can	can	AUX
hjic-750	48	9	be	be	AUX
hjic-750	48	10	derived	derive	VERB
hjic-750	48	11	as	as	ADP
hjic-750	48	12	the	the	DET
hjic-750	48	13	quotient	quotient	NOUN
hjic-750	48	14	of	of	ADP
hjic-750	48	15	normal	normal	ADJ
hjic-750	48	16	and	and	CCONJ
hjic-750	48	17	chi	chi	ADV
hjic-750	48	18	-	-	PUNCT
hjic-750	48	19	distributed	distribute	VERB
hjic-750	48	20	random	random	ADJ
hjic-750	48	21	variables	variable	NOUN
hjic-750	48	22	.	.	PUNCT
hjic-750	49	1	the	the	DET
hjic-750	49	2	independency	independency	NOUN
hjic-750	49	3	of	of	ADP
hjic-750	49	4	the	the	DET
hjic-750	49	5	nominator	nominator	NOUN
hjic-750	49	6	and	and	CCONJ
hjic-750	49	7	denominator	denominator	NOUN
hjic-750	49	8	can	can	AUX
hjic-750	49	9	be	be	AUX
hjic-750	49	10	shown	show	VERB
hjic-750	49	11	and	and	CCONJ
hjic-750	49	12	it	it	PRON
hjic-750	49	13	is	be	AUX
hjic-750	49	14	also	also	ADV
hjic-750	49	15	proved	prove	VERB
hjic-750	49	16	by	by	ADP
hjic-750	49	17	a	a	DET
hjic-750	49	18	series	series	NOUN
hjic-750	49	19	of	of	ADP
hjic-750	49	20	theorems	theorem	NOUN
hjic-750	49	21	that	that	PRON
hjic-750	49	22	t	t	PROPN
hjic-750	49	23	defined	define	VERB
hjic-750	49	24	in	in	ADP
hjic-750	49	25	eq.(5	eq.(5	NOUN
hjic-750	49	26	)	)	PUNCT
hjic-750	49	27	follows	follow	VERB
hjic-750	49	28	a	a	DET
hjic-750	49	29	student	student	NOUN
hjic-750	49	30	’s	’s	PART
hjic-750	49	31	t	t	NOUN
hjic-750	49	32	-	-	PUNCT
hjic-750	49	33	distribution	distribution	NOUN
hjic-750	49	34	with	with	ADP
hjic-750	49	35	n-1	n-1	ADJ
hjic-750	49	36	degrees	degree	NOUN
hjic-750	49	37	of	of	ADP
hjic-750	49	38	freedom	freedom	NOUN
hjic-750	49	39	(	(	PUNCT
hjic-750	49	40	see	see	VERB
hjic-750	49	41	the	the	DET
hjic-750	49	42	references	reference	NOUN
hjic-750	49	43	in	in	ADP
hjic-750	49	44	[	[	X
hjic-750	49	45	2	2	NUM
hjic-750	49	46	]	]	SYM
hjic-750	49	47	):	):	PUNCT
hjic-750	49	48			PROPN
hjic-750	49	49			PROPN
hjic-750	50	1	22	22	NUM
hjic-750	50	2	1	1	NUM
hjic-750	50	3	1	1	NUM
hjic-750	50	4	2	2	NUM
hjic-750	50	5	1	1	NUM
hjic-750	50	6	2	2	NUM
hjic-750	50	7	1	1	NUM
hjic-750	50	8	1	1	NUM
hjic-750	50	9	)	)	PUNCT
hjic-750	50	10	(	(	PUNCT
hjic-750	50	11	n	n	NOUN
hjic-750	50	12	n	n	ADP
hjic-750	50	13	t	t	PROPN
hjic-750	50	14	n	n	CCONJ
hjic-750	50	15	n	n	CCONJ
hjic-750	50	16	n	n	ADV
hjic-750	50	17	tf	tf	PROPN
hjic-750	50	18			PROPN
hjic-750	50	19			PROPN
hjic-750	50	20			PROPN
hjic-750	50	21			NOUN
hjic-750	51	1			PROPN
hjic-750	52	1			PROPN
hjic-750	52	2			PROPN
hjic-750	52	3			PROPN
hjic-750	52	4			PROPN
hjic-750	52	5			PROPN
hjic-750	52	6			VERB
hjic-750	52	7			PROPN
hjic-750	52	8			PROPN
hjic-750	52	9			PRON
hjic-750	52	10			PROPN
hjic-750	52	11			PROPN
hjic-750	52	12			NOUN
hjic-750	52	13			PROPN
hjic-750	52	14			PUNCT
hjic-750	52	15			NUM
hjic-750	52	16			NOUN
hjic-750	52	17			PRON
hjic-750	52	18			PROPN
hjic-750	52	19			PROPN
hjic-750	52	20			NOUN
hjic-750	52	21			VERB
hjic-750	52	22			NOUN
hjic-750	52	23			PROPN
hjic-750	52	24			PROPN
hjic-750	52	25	(	(	PUNCT
hjic-750	52	26	6	6	NUM
hjic-750	52	27	)	)	PUNCT
hjic-750	52	28	the	the	DET
hjic-750	52	29	distribution	distribution	NOUN
hjic-750	52	30	sketched	sketched	NOUN
hjic-750	52	31	in	in	ADP
hjic-750	52	32	fig.1	fig.1	PROPN
hjic-750	52	33	is	be	AUX
hjic-750	52	34	widely	widely	ADV
hjic-750	52	35	known	know	VERB
hjic-750	52	36	and	and	CCONJ
hjic-750	52	37	needs	need	VERB
hjic-750	52	38	no	no	DET
hjic-750	52	39	comments	comment	NOUN
hjic-750	52	40	except	except	SCONJ
hjic-750	52	41	for	for	ADP
hjic-750	52	42	its	its	PRON
hjic-750	52	43	flaw	flaw	NOUN
hjic-750	52	44	:	:	PUNCT
hjic-750	52	45	it	it	PRON
hjic-750	52	46	is	be	AUX
hjic-750	52	47	based	base	VERB
hjic-750	52	48	on	on	ADP
hjic-750	52	49	the	the	DET
hjic-750	52	50	biased	biased	ADJ
hjic-750	52	51	statistic	statistic	NOUN
hjic-750	52	52	(	(	PUNCT
hjic-750	52	53	eq.(2	eq.(2	NOUN
hjic-750	52	54	)	)	PUNCT
hjic-750	52	55	)	)	PUNCT
hjic-750	52	56	for	for	ADP
hjic-750	52	57	σ	σ	PROPN
hjic-750	52	58	.	.	PUNCT
hjic-750	52	59	by	by	ADP
hjic-750	52	60	replacing	replace	VERB
hjic-750	52	61	the	the	DET
hjic-750	52	62	standard	standard	ADJ
hjic-750	52	63	deviation	deviation	NOUN
hjic-750	52	64	of	of	ADP
hjic-750	52	65	the	the	DET
hjic-750	52	66	sample	sample	NOUN
hjic-750	52	67	,	,	PUNCT
hjic-750	52	68	s	s	AUX
hjic-750	52	69	,	,	PUNCT
hjic-750	52	70	in	in	ADP
hjic-750	52	71	eq.(5	eq.(5	NOUN
hjic-750	52	72	)	)	PUNCT
hjic-750	52	73	with	with	ADP
hjic-750	52	74	the	the	DET
hjic-750	52	75	unbiased	unbiased	ADJ
hjic-750	52	76	equivalent	equivalent	ADJ
hjic-750	52	77	one	one	NUM
hjic-750	52	78	,	,	PUNCT
hjic-750	52	79	sc	sc	PROPN
hjic-750	52	80	,	,	PUNCT
hjic-750	52	81	corrected	correct	VERB
hjic-750	52	82	by	by	ADP
hjic-750	52	83	c4(n	c4(n	PROPN
hjic-750	52	84	)	)	PUNCT
hjic-750	52	85	,	,	PUNCT
hjic-750	52	86	results	result	VERB
hjic-750	52	87	in	in	ADP
hjic-750	52	88	a	a	DET
hjic-750	52	89	new	new	ADJ
hjic-750	52	90	value	value	NOUN
hjic-750	52	91	:	:	PUNCT
hjic-750	52	92	ns	ns	NUM
hjic-750	52	93	y	y	PROPN
hjic-750	52	94	t	t	PROPN
hjic-750	52	95	/c	/c	PUNCT
hjic-750	53	1	c	c	NOUN
hjic-750	53	2			ADV
hjic-750	54	1			ADJ
hjic-750	54	2	,	,	PUNCT
hjic-750	54	3	(	(	PUNCT
hjic-750	54	4	7	7	NUM
hjic-750	54	5	)	)	PUNCT
hjic-750	54	6	and	and	CCONJ
hjic-750	54	7	in	in	ADP
hjic-750	54	8	the	the	DET
hjic-750	54	9	density	density	NOUN
hjic-750	54	10	function	function	NOUN
hjic-750	54	11	:	:	PUNCT
hjic-750	54	12	note	note	VERB
hjic-750	54	13	on	on	ADP
hjic-750	54	14	student	student	NOUN
hjic-750	54	15	’s	’s	PART
hjic-750	54	16	t	t	PROPN
hjic-750	54	17	-	-	PUNCT
hjic-750	54	18	distribution	distribution	NOUN
hjic-750	54	19	45(1	45(1	NOUN
hjic-750	54	20	)	)	PUNCT
hjic-750	54	21	pp	pp	ADJ
hjic-750	54	22	.	.	PUNCT
hjic-750	55	1	23–27	23–27	NUM
hjic-750	55	2	(	(	PUNCT
hjic-750	55	3	2017	2017	NUM
hjic-750	55	4	)	)	PUNCT
hjic-750	55	5	25	25	NUM
hjic-750	55	6			NOUN
hjic-750	55	7			SYM
hjic-750	55	8			NOUN
hjic-750	55	9			PUNCT
hjic-750	55	10			NOUN
hjic-750	55	11			NOUN
hjic-750	55	12	2	2	NUM
hjic-750	55	13	2	2	NUM
hjic-750	55	14	4	4	NUM
hjic-750	55	15	2	2	NUM
hjic-750	55	16	c	c	NOUN
hjic-750	55	17	2	2	NUM
hjic-750	55	18	2	2	NUM
hjic-750	55	19	4	4	NUM
hjic-750	55	20	2	2	NUM
hjic-750	55	21	c	c	NOUN
hjic-750	55	22	4	4	NUM
hjic-750	55	23	c	c	NOUN
hjic-750	55	24	1	1	NUM
hjic-750	55	25	1	1	NUM
hjic-750	55	26	2	2	NUM
hjic-750	55	27	1	1	NUM
hjic-750	55	28	1	1	NUM
hjic-750	55	29	1	1	NUM
hjic-750	55	30	2	2	NUM
hjic-750	55	31	1	1	NUM
hjic-750	55	32	1	1	NUM
hjic-750	55	33	2	2	NUM
hjic-750	55	34	)	)	PUNCT
hjic-750	55	35	(	(	PUNCT
hjic-750	55	36	1	1	NUM
hjic-750	55	37	)	)	PUNCT
hjic-750	55	38	(	(	PUNCT
hjic-750	55	39	n	n	PROPN
hjic-750	55	40	n	n	PROPN
hjic-750	55	41	nc	nc	PROPN
hjic-750	55	42	t	t	PROPN
hjic-750	55	43	nc	nc	PROPN
hjic-750	55	44	t	t	PROPN
hjic-750	55	45	n	n	PROPN
hjic-750	55	46	n	n	PROPN
hjic-750	55	47	n	n	PROPN
hjic-750	55	48	nc	nc	PROPN
hjic-750	55	49	tf	tf	PROPN
hjic-750	55	50			PROPN
hjic-750	55	51			PROPN
hjic-750	55	52			PROPN
hjic-750	55	53			PROPN
hjic-750	55	54			NOUN
hjic-750	55	55			PROPN
hjic-750	55	56			PROPN
hjic-750	55	57			PROPN
hjic-750	56	1			PROPN
hjic-750	56	2			PROPN
hjic-750	56	3			PROPN
hjic-750	56	4			PROPN
hjic-750	56	5			PROPN
hjic-750	57	1			PROPN
hjic-750	58	1			NOUN
hjic-750	59	1			PROPN
hjic-750	59	2			PROPN
hjic-750	59	3			PROPN
hjic-750	59	4			PROPN
hjic-750	59	5			PROPN
hjic-750	59	6			PROPN
hjic-750	59	7			VERB
hjic-750	59	8			PROPN
hjic-750	59	9			PROPN
hjic-750	59	10			PRON
hjic-750	59	11			PROPN
hjic-750	59	12			PROPN
hjic-750	59	13			NOUN
hjic-750	59	14			PROPN
hjic-750	59	15			PUNCT
hjic-750	59	16			PROPN
hjic-750	59	17			NOUN
hjic-750	59	18			PRON
hjic-750	59	19			PROPN
hjic-750	59	20			PROPN
hjic-750	59	21			NOUN
hjic-750	59	22			VERB
hjic-750	59	23			NUM
hjic-750	59	24			PROPN
hjic-750	59	25			NOUN
hjic-750	59	26	.	.	PUNCT
hjic-750	59	27	)	)	PUNCT
hjic-750	60	1	(	(	PUNCT
hjic-750	60	2	)	)	PUNCT
hjic-750	60	3	(	(	PUNCT
hjic-750	60	4	)	)	PUNCT
hjic-750	60	5	1,2/(crit	1,2/(crit	NUM
hjic-750	60	6	4	4	NUM
hjic-750	60	7	)	)	PUNCT
hjic-750	60	8	1,2/(crit	1,2/(crit	NUM
hjic-750	60	9	4	4	NUM
hjic-750	60	10	)	)	PUNCT
hjic-750	60	11	1,2/(crit	1,2/(crit	NUM
hjic-750	60	12	cc	cc	ADP
hjic-750	60	13			PROPN
hjic-750	60	14			NUM
hjic-750	60	15			NUM
hjic-750	60	16			PROPN
hjic-750	60	17	n	n	CCONJ
hjic-750	60	18	nn	nn	PROPN
hjic-750	60	19	st	st	PROPN
hjic-750	60	20	nct	nct	PROPN
hjic-750	60	21	nc	nc	PROPN
hjic-750	60	22	s	s	PROPN
hjic-750	60	23	ts	ts	ADP
hjic-750	60	24			PRON
hjic-750	60	25			PRON
hjic-750	60	26	table	table	NOUN
hjic-750	60	27	2	2	NUM
hjic-750	60	28	.	.	PUNCT
hjic-750	60	29	sample	sample	NOUN
hjic-750	60	30	-	-	PUNCT
hjic-750	60	31	size	size	NOUN
hjic-750	60	32	dependence	dependence	NOUN
hjic-750	60	33	of	of	ADP
hjic-750	60	34	geary	geary	PROPN
hjic-750	60	35	’s	’s	PROPN
hjic-750	60	36	and	and	CCONJ
hjic-750	60	37	pearson	pearson	PROPN
hjic-750	60	38	’s	’s	PART
hjic-750	60	39	kurtosis	kurtosis	NOUN
hjic-750	60	40	.	.	PUNCT
hjic-750	61	1	the	the	DET
hjic-750	61	2	c4(n)-corrected	c4(n)-corrected	PROPN
hjic-750	61	3	geary	geary	PROPN
hjic-750	61	4	’s	’s	NOUN
hjic-750	61	5	and	and	CCONJ
hjic-750	61	6	the	the	DET
hjic-750	61	7	size	size	NOUN
hjic-750	61	8	-	-	PUNCT
hjic-750	61	9	corrected	correct	VERB
hjic-750	61	10	pearson	pearson	NOUN
hjic-750	61	11	’s	’s	PART
hjic-750	61	12	kurtosis	kurtosis	NOUN
hjic-750	62	1	[	[	X
hjic-750	62	2	11	11	NUM
hjic-750	62	3	]	]	PUNCT
hjic-750	62	4	provided	provide	VERB
hjic-750	62	5	the	the	DET
hjic-750	62	6	∞	∞	NUM
hjic-750	62	7	limit	limit	NOUN
hjic-750	62	8	values	value	NOUN
hjic-750	62	9	for	for	ADP
hjic-750	62	10	all	all	DET
hjic-750	62	11	sample	sample	NOUN
hjic-750	62	12	sizes	size	NOUN
hjic-750	62	13	within	within	ADP
hjic-750	62	14	the	the	DET
hjic-750	62	15	statistical	statistical	ADJ
hjic-750	62	16	uncertainty	uncertainty	NOUN
hjic-750	62	17	of	of	ADP
hjic-750	62	18	the	the	DET
hjic-750	62	19	105	105	NUM
hjic-750	62	20	random	random	ADJ
hjic-750	62	21	samples	sample	NOUN
hjic-750	62	22	.	.	PUNCT
hjic-750	63	1	n	n	PROPN
hjic-750	63	2	geary	geary	PROPN
hjic-750	63	3	’s	’s	PART
hjic-750	63	4	kurtosis	kurtosis	NOUN
hjic-750	63	5	pearson	pearson	PROPN
hjic-750	63	6	’s	’s	PART
hjic-750	63	7	kurtosis	kurtosis	VERB
hjic-750	63	8	3	3	NUM
hjic-750	63	9	0.9004	0.9004	NUM
hjic-750	63	10	1.5000	1.5000	NUM
hjic-750	63	11	4	4	NUM
hjic-750	63	12	0.8659	0.8659	NUM
hjic-750	63	13	1.8005	1.8005	NUM
hjic-750	63	14	5	5	NUM
hjic-750	63	15	0.8489	0.8489	NUM
hjic-750	63	16	1.9996	1.9996	NUM
hjic-750	63	17	6	6	NUM
hjic-750	63	18	0.8385	0.8385	NUM
hjic-750	63	19	2.1437	2.1437	NUM
hjic-750	63	20	7	7	NUM
hjic-750	63	21	0.8319	0.8319	NUM
hjic-750	63	22	2.2501	2.2501	NUM
hjic-750	63	23	8	8	NUM
hjic-750	63	24	0.8267	0.8267	NUM
hjic-750	63	25	2.3340	2.3340	NUM
hjic-750	63	26	9	9	NUM
hjic-750	63	27	0.8233	0.8233	NUM
hjic-750	63	28	2.4006	2.4006	NUM
hjic-750	63	29	10	10	NUM
hjic-750	63	30	0.8200	0.8200	NUM
hjic-750	63	31	2.4557	2.4557	NUM
hjic-750	63	32	20	20	NUM
hjic-750	63	33	0.8085	0.8085	NUM
hjic-750	63	34	2.7141	2.7141	NUM
hjic-750	63	35	50	50	NUM
hjic-750	63	36	0.8021	0.8021	NUM
hjic-750	63	37	2.8820	2.8820	NUM
hjic-750	63	38	100	100	NUM
hjic-750	63	39	0.7999	0.7999	NUM
hjic-750	63	40	2.9408	2.9408	NUM
hjic-750	63	41	∞	∞	NUM
hjic-750	63	42	0.7979	0.7979	NUM
hjic-750	63	43	3.0000	3.0000	NUM
hjic-750	63	44	(	(	PUNCT
hjic-750	63	45	8)	8)	NUM
hjic-750	63	46	which	which	PRON
hjic-750	63	47	is	be	AUX
hjic-750	63	48	shown	show	VERB
hjic-750	63	49	in	in	ADP
hjic-750	63	50	fig.2	fig.2	PROPN
hjic-750	63	51	.	.	PUNCT
hjic-750	64	1	as	as	SCONJ
hjic-750	64	2	expected	expect	VERB
hjic-750	64	3	,	,	PUNCT
hjic-750	64	4	the	the	DET
hjic-750	64	5	corrected	correct	VERB
hjic-750	64	6	student	student	NOUN
hjic-750	64	7	’s	’s	PART
hjic-750	64	8	t	t	NOUN
hjic-750	64	9	-	-	PUNCT
hjic-750	64	10	distribution	distribution	NOUN
hjic-750	64	11	(	(	PUNCT
hjic-750	64	12	student	student	NOUN
hjic-750	64	13	’s	’s	PART
hjic-750	64	14	tc	tc	NOUN
hjic-750	64	15	-	-	PUNCT
hjic-750	64	16	distribution	distribution	NOUN
hjic-750	64	17	)	)	PUNCT
hjic-750	64	18	consists	consist	VERB
hjic-750	64	19	of	of	ADP
hjic-750	64	20	more	more	ADV
hjic-750	64	21	distinct	distinct	ADJ
hjic-750	64	22	peaks	peak	NOUN
hjic-750	64	23	,	,	PUNCT
hjic-750	64	24	it	it	PRON
hjic-750	64	25	exhibits	exhibit	VERB
hjic-750	64	26	fatter	fat	ADJ
hjic-750	64	27	tails	tail	NOUN
hjic-750	64	28	than	than	ADP
hjic-750	64	29	the	the	DET
hjic-750	64	30	standard	standard	ADJ
hjic-750	64	31	normal	normal	ADJ
hjic-750	64	32	distribution	distribution	NOUN
hjic-750	64	33	,	,	PUNCT
hjic-750	64	34	but	but	CCONJ
hjic-750	64	35	rather	rather	ADV
hjic-750	64	36	oddly	oddly	ADV
hjic-750	64	37	at	at	ADP
hjic-750	64	38	its	its	PRON
hjic-750	64	39	maximum	maximum	ADJ
hjic-750	64	40	,	,	PUNCT
hjic-750	64	41	i.e.	i.e.	X
hjic-750	64	42	when	when	SCONJ
hjic-750	64	43	tc	tc	NOUN
hjic-750	64	44	=	=	SYM
hjic-750	64	45	0	0	NUM
hjic-750	64	46	,	,	PUNCT
hjic-750	64	47	the	the	DET
hjic-750	64	48	value	value	NOUN
hjic-750	64	49	f(tc	f(tc	NOUN
hjic-750	64	50	)	)	PUNCT
hjic-750	64	51	does	do	AUX
hjic-750	64	52	not	not	PART
hjic-750	64	53	depend	depend	VERB
hjic-750	64	54	on	on	ADP
hjic-750	64	55	n	n	ADV
hjic-750	64	56	and	and	CCONJ
hjic-750	64	57	is	be	AUX
hjic-750	64	58	represented	represent	VERB
hjic-750	64	59	by	by	ADP
hjic-750	64	60	the	the	DET
hjic-750	64	61	value	value	NOUN
hjic-750	64	62	2/1	2/1	ADV
hjic-750	64	63	,	,	PUNCT
hjic-750	64	64	the	the	DET
hjic-750	64	65	same	same	ADJ
hjic-750	64	66	as	as	ADP
hjic-750	64	67	for	for	ADP
hjic-750	64	68	those	those	PRON
hjic-750	64	69	of	of	ADP
hjic-750	64	70	normal	normal	ADJ
hjic-750	64	71	distribution	distribution	NOUN
hjic-750	64	72	.	.	PUNCT
hjic-750	65	1	the	the	DET
hjic-750	65	2	function	function	NOUN
hjic-750	65	3	f(tc	f(tc	NOUN
hjic-750	65	4	)	)	PUNCT
hjic-750	65	5	and	and	CCONJ
hjic-750	65	6	the	the	DET
hjic-750	65	7	student	student	NOUN
hjic-750	65	8	’s	’s	PART
hjic-750	65	9	t	t	NOUN
hjic-750	65	10	-	-	PUNCT
hjic-750	65	11	distribution	distribution	NOUN
hjic-750	65	12	without	without	ADP
hjic-750	65	13	a	a	DET
hjic-750	65	14	doubt	doubt	NOUN
hjic-750	65	15	differ	differ	VERB
hjic-750	65	16	in	in	ADP
hjic-750	65	17	this	this	DET
hjic-750	65	18	respect	respect	NOUN
hjic-750	65	19	.	.	PUNCT
hjic-750	66	1	the	the	DET
hjic-750	66	2	obvious	obvious	ADJ
hjic-750	66	3	differences	difference	NOUN
hjic-750	66	4	between	between	ADP
hjic-750	66	5	the	the	DET
hjic-750	66	6	student	student	NOUN
hjic-750	66	7	and	and	CCONJ
hjic-750	66	8	modified	modify	VERB
hjic-750	66	9	student	student	NOUN
hjic-750	66	10	distributions	distribution	NOUN
hjic-750	66	11	do	do	AUX
hjic-750	66	12	not	not	PART
hjic-750	66	13	complicate	complicate	VERB
hjic-750	66	14	their	their	PRON
hjic-750	66	15	daily	daily	ADJ
hjic-750	66	16	usage	usage	NOUN
hjic-750	66	17	.	.	PUNCT
hjic-750	67	1	the	the	DET
hjic-750	67	2	confidence	confidence	NOUN
hjic-750	67	3	intervals	interval	NOUN
hjic-750	67	4	calculated	calculate	VERB
hjic-750	67	5	using	use	VERB
hjic-750	67	6	s	s	PROPN
hjic-750	67	7	and	and	CCONJ
hjic-750	67	8	t	t	PROPN
hjic-750	67	9	or	or	CCONJ
hjic-750	67	10	sc	sc	PROPN
hjic-750	67	11	and	and	CCONJ
hjic-750	67	12	tc	tc	NUM
hjic-750	67	13	estimators	estimator	NOUN
hjic-750	67	14	and	and	CCONJ
hjic-750	67	15	distributions	distribution	NOUN
hjic-750	67	16	,	,	PUNCT
hjic-750	67	17	respectively	respectively	ADV
hjic-750	67	18	,	,	PUNCT
hjic-750	67	19	n	n	CCONJ
hjic-750	67	20	ts	ts	ADP
hjic-750	67	21	y	y	PROPN
hjic-750	67	22	n	n	PROPN
hjic-750	67	23	)	)	PUNCT
hjic-750	67	24	1(,2/	1(,2/	NOUN
hjic-750	67	25	cc	cc	NOUN
hjic-750	67	26			NOUN
hjic-750	67	27			PROPN
hjic-750	67	28			X
hjic-750	67	29	and	and	CCONJ
hjic-750	67	30	n	n	PRON
hjic-750	67	31	st	st	PROPN
hjic-750	67	32	y	y	PROPN
hjic-750	67	33	n	n	PROPN
hjic-750	67	34	)	)	PUNCT
hjic-750	67	35	1(,2/	1(,2/	NOUN
hjic-750	67	36			NOUN
hjic-750	67	37			PROPN
hjic-750	67	38			NOUN
hjic-750	67	39	(	(	PUNCT
hjic-750	67	40	9	9	NUM
hjic-750	67	41	)	)	PUNCT
hjic-750	67	42	do	do	AUX
hjic-750	67	43	not	not	PART
hjic-750	67	44	differ	differ	VERB
hjic-750	67	45	,	,	PUNCT
hjic-750	67	46	because	because	SCONJ
hjic-750	67	47	(	(	PUNCT
hjic-750	67	48	10	10	NUM
hjic-750	67	49	)	)	PUNCT
hjic-750	67	50	evidently	evidently	ADV
hjic-750	67	51	,	,	PUNCT
hjic-750	67	52	corresponding	correspond	VERB
hjic-750	67	53	estimators	estimator	NOUN
hjic-750	67	54	and	and	CCONJ
hjic-750	67	55	functions	function	NOUN
hjic-750	67	56	should	should	AUX
hjic-750	67	57	be	be	AUX
hjic-750	67	58	used	use	VERB
hjic-750	67	59	.	.	PUNCT
hjic-750	68	1	3.2	3.2	NUM
hjic-750	68	2	.	.	PUNCT
hjic-750	69	1	the	the	DET
hjic-750	69	2	effect	effect	NOUN
hjic-750	69	3	of	of	ADP
hjic-750	69	4	the	the	DET
hjic-750	69	5	correction	correction	NOUN
hjic-750	69	6	to	to	ADP
hjic-750	69	7	geary	geary	PROPN
hjic-750	69	8	’s	’s	PART
hjic-750	69	9	kurtosis	kurtosis	PROPN
hjic-750	69	10	geary	geary	PROPN
hjic-750	69	11	’s	’s	PART
hjic-750	69	12	kurtosis	kurtosis	NOUN
hjic-750	69	13	[	[	X
hjic-750	69	14	7	7	NUM
hjic-750	69	15	]	]	PUNCT
hjic-750	69	16	,	,	PUNCT
hjic-750	69	17	wn	wn	PROPN
hjic-750	69	18	,	,	PUNCT
hjic-750	69	19	is	be	AUX
hjic-750	69	20	the	the	DET
hjic-750	69	21	ratio	ratio	NOUN
hjic-750	69	22	of	of	ADP
hjic-750	69	23	the	the	DET
hjic-750	69	24	mean	mean	ADJ
hjic-750	69	25	absolute	absolute	ADJ
hjic-750	69	26	deviation	deviation	NOUN
hjic-750	69	27	(	(	PUNCT
hjic-750	69	28	mad	mad	ADJ
hjic-750	69	29	)	)	PUNCT
hjic-750	69	30	to	to	ADP
hjic-750	69	31	the	the	DET
hjic-750	69	32	standard	standard	ADJ
hjic-750	69	33	deviation	deviation	NOUN
hjic-750	69	34	(	(	PUNCT
hjic-750	69	35	eq.(11	eq.(11	NOUN
hjic-750	69	36	)	)	PUNCT
hjic-750	69	37	)	)	PUNCT
hjic-750	69	38	.	.	PUNCT
hjic-750	70	1	it	it	PRON
hjic-750	70	2	is	be	AUX
hjic-750	70	3	an	an	DET
hjic-750	70	4	alternative	alternative	NOUN
hjic-750	70	5	to	to	ADP
hjic-750	70	6	pearson	pearson	PROPN
hjic-750	70	7	’s	’s	PART
hjic-750	70	8	kurtosis	kurtosis	NOUN
hjic-750	70	9	based	base	VERB
hjic-750	70	10	on	on	ADP
hjic-750	70	11	the	the	DET
hjic-750	70	12	fourth	fourth	ADJ
hjic-750	70	13	moment	moment	NOUN
hjic-750	70	14	.	.	PUNCT
hjic-750	71	1	the	the	DET
hjic-750	71	2	expected	expect	VERB
hjic-750	71	3	value	value	NOUN
hjic-750	71	4	of	of	ADP
hjic-750	71	5	geary	geary	PROPN
hjic-750	71	6	’s	’s	PART
hjic-750	71	7	kurtosis	kurtosis	NOUN
hjic-750	71	8	depends	depend	VERB
hjic-750	71	9	on	on	ADP
hjic-750	71	10	the	the	DET
hjic-750	71	11	sample	sample	NOUN
hjic-750	71	12	size	size	NOUN
hjic-750	71	13	even	even	ADV
hjic-750	71	14	for	for	ADP
hjic-750	71	15	normally	normally	ADV
hjic-750	71	16	distributed	distribute	VERB
hjic-750	71	17	data	datum	NOUN
hjic-750	71	18	[	[	X
hjic-750	71	19	7	7	NUM
hjic-750	71	20	]	]	PUNCT
hjic-750	71	21	.	.	PUNCT
hjic-750	72	1	the	the	DET
hjic-750	72	2	mean	mean	ADJ
hjic-750	72	3	values	value	NOUN
hjic-750	72	4	of	of	ADP
hjic-750	72	5	105	105	NUM
hjic-750	72	6	random	random	ADJ
hjic-750	72	7	samples	sample	NOUN
hjic-750	72	8	from	from	ADP
hjic-750	72	9	standard	standard	ADJ
hjic-750	72	10	normal	normal	ADJ
hjic-750	72	11	distributions	distribution	NOUN
hjic-750	72	12	are	be	AUX
hjic-750	72	13	shown	show	VERB
hjic-750	72	14	in	in	ADP
hjic-750	72	15	table	table	NOUN
hjic-750	72	16	2	2	NUM
hjic-750	72	17	.	.	X
hjic-750	72	18	n	n	PRON
hjic-750	73	1	n	n	ADV
hjic-750	74	1	i	i	PRON
hjic-750	74	2	i	i	PRON
hjic-750	74	3	n	n	VERB
hjic-750	74	4	s	s	VERB
hjic-750	74	5	yy	yy	PROPN
hjic-750	75	1	n	n	ADV
hjic-750	75	2	w	w	NOUN
hjic-750	75	3			X
hjic-750	75	4			NUM
hjic-750	75	5			VERB
hjic-750	75	6			NOUN
hjic-750	75	7	1	1	NUM
hjic-750	75	8	1	1	NUM
hjic-750	75	9	(	(	PUNCT
hjic-750	75	10	11	11	NUM
hjic-750	75	11	)	)	PUNCT
hjic-750	75	12	if	if	SCONJ
hjic-750	75	13	the	the	DET
hjic-750	75	14	c4(n	c4(n	PROPN
hjic-750	75	15	)	)	PUNCT
hjic-750	75	16	corrections	correction	NOUN
hjic-750	75	17	(	(	PUNCT
hjic-750	75	18	table	table	NOUN
hjic-750	75	19	1	1	NUM
hjic-750	75	20	)	)	PUNCT
hjic-750	75	21	are	be	AUX
hjic-750	75	22	applied	apply	VERB
hjic-750	75	23	during	during	ADP
hjic-750	75	24	the	the	DET
hjic-750	75	25	calculation	calculation	NOUN
hjic-750	75	26	of	of	ADP
hjic-750	75	27	the	the	DET
hjic-750	75	28	nominator	nominator	NOUN
hjic-750	75	29	of	of	ADP
hjic-750	75	30	the	the	DET
hjic-750	75	31	ratio	ratio	NOUN
hjic-750	75	32	as	as	ADP
hjic-750	75	33	wn	wn	PROPN
hjic-750	75	34	,	,	PUNCT
hjic-750	75	35	corr	corr	PROPN
hjic-750	75	36	=	=	PROPN
hjic-750	75	37	wn	wn	PROPN
hjic-750	75	38	c4(n	c4(n	PROPN
hjic-750	75	39	)	)	PUNCT
hjic-750	75	40	,	,	PUNCT
hjic-750	75	41	the	the	DET
hjic-750	75	42	expected	expect	VERB
hjic-750	75	43	value	value	NOUN
hjic-750	75	44	of	of	ADP
hjic-750	75	45	the	the	DET
hjic-750	75	46	kurtosis	kurtosis	NOUN
hjic-750	75	47	is	be	AUX
hjic-750	75	48	(	(	PUNCT
hjic-750	75	49	2	2	NUM
hjic-750	75	50	/	/	SYM
hjic-750	75	51	π)1/2	π)1/2	VERB
hjic-750	75	52	for	for	ADP
hjic-750	75	53	all	all	DET
hjic-750	75	54	sample	sample	NOUN
hjic-750	75	55	sizes	size	NOUN
hjic-750	75	56	.	.	PUNCT
hjic-750	76	1	this	this	PRON
hjic-750	76	2	means	mean	VERB
hjic-750	76	3	that	that	SCONJ
hjic-750	76	4	the	the	DET
hjic-750	76	5	platykurtic	platykurtic	NOUN
hjic-750	76	6	and	and	CCONJ
hjic-750	76	7	the	the	DET
hjic-750	76	8	leptokurtic	leptokurtic	ADJ
hjic-750	76	9	features	feature	NOUN
hjic-750	76	10	of	of	ADP
hjic-750	76	11	a	a	DET
hjic-750	76	12	sample	sample	NOUN
hjic-750	76	13	can	can	AUX
hjic-750	76	14	be	be	AUX
hjic-750	76	15	found	find	VERB
hjic-750	76	16	without	without	ADP
hjic-750	76	17	searching	search	VERB
hjic-750	76	18	for	for	ADP
hjic-750	76	19	the	the	DET
hjic-750	76	20	size	size	NOUN
hjic-750	76	21	-	-	PUNCT
hjic-750	76	22	dependent	dependent	ADJ
hjic-750	76	23	dividing	dividing	NOUN
hjic-750	76	24	value	value	NOUN
hjic-750	76	25	in	in	ADP
hjic-750	76	26	tables	table	NOUN
hjic-750	76	27	.	.	PUNCT
hjic-750	77	1	3.3	3.3	NUM
hjic-750	77	2	.	.	PUNCT
hjic-750	78	1	sample	sample	NOUN
hjic-750	78	2	-	-	PUNCT
hjic-750	78	3	size	size	NOUN
hjic-750	78	4	bias	bias	NOUN
hjic-750	78	5	in	in	ADP
hjic-750	78	6	statistical	statistical	ADJ
hjic-750	78	7	tests	test	NOUN
hjic-750	78	8	geary	geary	NOUN
hjic-750	78	9	’s	’s	PART
hjic-750	78	10	kurtosis	kurtosis	NOUN
hjic-750	78	11	and	and	CCONJ
hjic-750	78	12	its	its	PRON
hjic-750	78	13	transformed	transform	VERB
hjic-750	78	14	values	value	NOUN
hjic-750	78	15	are	be	AUX
hjic-750	78	16	used	use	VERB
hjic-750	78	17	in	in	ADP
hjic-750	78	18	normality	normality	NOUN
hjic-750	78	19	tests	test	NOUN
hjic-750	78	20	due	due	ADP
hjic-750	78	21	to	to	ADP
hjic-750	78	22	their	their	PRON
hjic-750	78	23	enhanced	enhance	VERB
hjic-750	78	24	sensitivity	sensitivity	NOUN
hjic-750	78	25	to	to	ADP
hjic-750	78	26	some	some	DET
hjic-750	78	27	leptokurtic	leptokurtic	ADJ
hjic-750	78	28	deviations	deviation	NOUN
hjic-750	78	29	from	from	ADP
hjic-750	78	30	normality	normality	NOUN
hjic-750	78	31	[	[	X
hjic-750	78	32	12	12	NUM
hjic-750	78	33	]	]	PUNCT
hjic-750	78	34	.	.	PUNCT
hjic-750	79	1	contrary	contrary	ADJ
hjic-750	79	2	to	to	ADP
hjic-750	79	3	the	the	DET
hjic-750	79	4	case	case	NOUN
hjic-750	79	5	of	of	ADP
hjic-750	79	6	the	the	DET
hjic-750	79	7	student	student	NOUN
hjic-750	79	8	’s	’s	PART
hjic-750	79	9	t	t	NOUN
hjic-750	79	10	-	-	PUNCT
hjic-750	79	11	distribution	distribution	NOUN
hjic-750	79	12	,	,	PUNCT
hjic-750	79	13	where	where	SCONJ
hjic-750	79	14	the	the	DET
hjic-750	79	15	correction	correction	NOUN
hjic-750	79	16	has	have	VERB
hjic-750	79	17	no	no	DET
hjic-750	79	18	effect	effect	NOUN
hjic-750	79	19	on	on	ADP
hjic-750	79	20	the	the	DET
hjic-750	79	21	t	t	NOUN
hjic-750	79	22	-	-	PUNCT
hjic-750	79	23	test	test	NOUN
hjic-750	79	24	,	,	PUNCT
hjic-750	79	25	here	here	ADV
hjic-750	79	26	the	the	DET
hjic-750	79	27	effect	effect	NOUN
hjic-750	79	28	of	of	ADP
hjic-750	79	29	the	the	DET
hjic-750	79	30	correction	correction	NOUN
hjic-750	79	31	is	be	AUX
hjic-750	79	32	not	not	PART
hjic-750	79	33	cancelled	cancel	VERB
hjic-750	79	34	.	.	PUNCT
hjic-750	80	1	generally	generally	ADV
hjic-750	80	2	,	,	PUNCT
hjic-750	80	3	the	the	DET
hjic-750	80	4	size	size	NOUN
hjic-750	80	5	dependence	dependence	NOUN
hjic-750	80	6	decreases	decrease	VERB
hjic-750	80	7	the	the	DET
hjic-750	80	8	performance	performance	NOUN
hjic-750	80	9	of	of	ADP
hjic-750	80	10	the	the	DET
hjic-750	80	11	tests	test	NOUN
hjic-750	80	12	for	for	ADP
hjic-750	80	13	small	small	ADJ
hjic-750	80	14	sample	sample	NOUN
hjic-750	80	15	sizes	size	NOUN
hjic-750	80	16	.	.	PUNCT
hjic-750	81	1	this	this	DET
hjic-750	81	2	feature	feature	NOUN
hjic-750	81	3	is	be	AUX
hjic-750	81	4	interpreted	interpret	VERB
hjic-750	81	5	by	by	ADP
hjic-750	81	6	users	user	NOUN
hjic-750	81	7	as	as	ADP
hjic-750	81	8	a	a	DET
hjic-750	81	9	recommendation	recommendation	NOUN
hjic-750	81	10	that	that	SCONJ
hjic-750	81	11	the	the	DET
hjic-750	81	12	tests	test	NOUN
hjic-750	81	13	are	be	AUX
hjic-750	81	14	unsuitable	unsuitable	ADJ
hjic-750	81	15	for	for	ADP
hjic-750	81	16	small	small	ADJ
hjic-750	81	17	sample	sample	NOUN
hjic-750	81	18	sizes	size	NOUN
hjic-750	81	19	.	.	PUNCT
hjic-750	82	1	in	in	ADP
hjic-750	82	2	the	the	DET
hjic-750	82	3	same	same	ADJ
hjic-750	82	4	way	way	NOUN
hjic-750	82	5	,	,	PUNCT
hjic-750	82	6	neglect	neglect	NOUN
hjic-750	82	7	of	of	ADP
hjic-750	82	8	sample	sample	NOUN
hjic-750	82	9	-	-	PUNCT
hjic-750	82	10	size	size	NOUN
hjic-750	82	11	dependence	dependence	NOUN
hjic-750	82	12	is	be	AUX
hjic-750	82	13	applicable	applicable	ADJ
hjic-750	82	14	in	in	ADP
hjic-750	82	15	tests	test	NOUN
hjic-750	82	16	where	where	SCONJ
hjic-750	82	17	pearson	pearson	PROPN
hjic-750	82	18	’s	’s	PART
hjic-750	82	19	kurtosis	kurtosis	NOUN
hjic-750	82	20	is	be	AUX
hjic-750	82	21	used	use	VERB
hjic-750	82	22	.	.	PUNCT
hjic-750	83	1	the	the	DET
hjic-750	83	2	calculated	calculated	ADJ
hjic-750	83	3	mean	mean	ADJ
hjic-750	83	4	value	value	NOUN
hjic-750	83	5	of	of	ADP
hjic-750	83	6	pearson	pearson	PROPN
hjic-750	83	7	’s	’s	PART
hjic-750	83	8	kurtosis	kurtosis	NOUN
hjic-750	83	9	is	be	AUX
hjic-750	83	10	shown	show	VERB
hjic-750	83	11	in	in	ADP
hjic-750	83	12	table	table	NOUN
hjic-750	83	13	2	2	NUM
hjic-750	83	14	but	but	CCONJ
hjic-750	83	15	its	its	PRON
hjic-750	83	16	convergence	convergence	NOUN
hjic-750	83	17	is	be	AUX
hjic-750	83	18	rather	rather	ADV
hjic-750	83	19	weak	weak	ADJ
hjic-750	83	20	to	to	ADP
hjic-750	83	21	the	the	DET
hjic-750	83	22	theoretical	theoretical	ADJ
hjic-750	83	23	value	value	NOUN
hjic-750	83	24	of	of	ADP
hjic-750	83	25	3	3	NUM
hjic-750	83	26	.	.	PUNCT
hjic-750	84	1	it	it	PRON
hjic-750	84	2	should	should	AUX
hjic-750	84	3	be	be	AUX
hjic-750	84	4	noted	note	VERB
hjic-750	84	5	here	here	ADV
hjic-750	84	6	that	that	SCONJ
hjic-750	84	7	the	the	DET
hjic-750	84	8	sample	sample	NOUN
hjic-750	84	9	-	-	PUNCT
hjic-750	84	10	size	size	NOUN
hjic-750	84	11	unbiased	unbiased	ADJ
hjic-750	84	12	estimator	estimator	NOUN
hjic-750	84	13	of	of	ADP
hjic-750	84	14	kurtosis	kurtosis	NOUN
hjic-750	84	15	can	can	AUX
hjic-750	84	16	be	be	AUX
hjic-750	84	17	easily	easily	ADV
hjic-750	84	18	calculated	calculate	VERB
hjic-750	84	19	[	[	PUNCT
hjic-750	84	20	11	11	NUM
hjic-750	84	21	]	]	PUNCT
hjic-750	84	22	.	.	PUNCT
hjic-750	85	1	figure	figure	NOUN
hjic-750	85	2	2	2	NUM
hjic-750	85	3	.	.	PUNCT
hjic-750	85	4	corrected	correct	VERB
hjic-750	85	5	student	student	NOUN
hjic-750	85	6	’s	’s	PART
hjic-750	85	7	t	t	NOUN
hjic-750	85	8	-	-	PUNCT
hjic-750	85	9	distribution	distribution	NOUN
hjic-750	85	10	compared	compare	VERB
hjic-750	85	11	with	with	ADP
hjic-750	85	12	the	the	DET
hjic-750	85	13	standard	standard	ADJ
hjic-750	85	14	normal	normal	ADJ
hjic-750	85	15	distribution	distribution	NOUN
hjic-750	85	16	tóth	tóth	NOUN
hjic-750	85	17	and	and	CCONJ
hjic-750	85	18	szepesváry	szepesváry	PROPN
hjic-750	85	19	hungarian	hungarian	ADJ
hjic-750	85	20	journal	journal	PROPN
hjic-750	85	21	of	of	ADP
hjic-750	85	22	industry	industry	NOUN
hjic-750	85	23	and	and	CCONJ
hjic-750	85	24	chemistry	chemistry	NOUN
hjic-750	85	25	26	26	NUM
hjic-750	85	26	table	table	NOUN
hjic-750	85	27	3	3	NUM
hjic-750	85	28	.	.	PUNCT
hjic-750	85	29	sample	sample	NOUN
hjic-750	85	30	-	-	PUNCT
hjic-750	85	31	size	size	NOUN
hjic-750	85	32	dependence	dependence	NOUN
hjic-750	85	33	of	of	ADP
hjic-750	85	34	five	five	NUM
hjic-750	85	35	normality	normality	NOUN
hjic-750	85	36	tests	test	NOUN
hjic-750	85	37	based	base	VERB
hjic-750	85	38	on	on	ADP
hjic-750	85	39	unbiased	unbiased	ADJ
hjic-750	85	40	or	or	CCONJ
hjic-750	85	41	sample	sample	NOUN
hjic-750	85	42	-	-	PUNCT
hjic-750	85	43	size	size	NOUN
hjic-750	85	44	-	-	PUNCT
hjic-750	85	45	dependent	dependent	ADJ
hjic-750	85	46	biased	biased	ADJ
hjic-750	85	47	estimators	estimator	NOUN
hjic-750	85	48	.	.	PUNCT
hjic-750	86	1	the	the	DET
hjic-750	86	2	numbers	number	NOUN
hjic-750	86	3	show	show	VERB
hjic-750	86	4	the	the	DET
hjic-750	86	5	ratio	ratio	NOUN
hjic-750	86	6	of	of	ADP
hjic-750	86	7	the	the	DET
hjic-750	86	8	rejected	reject	VERB
hjic-750	86	9	null	null	ADJ
hjic-750	86	10	hypotheses	hypothesis	NOUN
hjic-750	86	11	to	to	ADP
hjic-750	86	12	all	all	DET
hjic-750	86	13	trials	trial	NOUN
hjic-750	86	14	at	at	ADP
hjic-750	86	15	a	a	DET
hjic-750	86	16	significance	significance	NOUN
hjic-750	86	17	level	level	NOUN
hjic-750	86	18	of	of	ADP
hjic-750	86	19	0.05	0.05	NUM
hjic-750	86	20	from	from	ADP
hjic-750	86	21	105	105	NUM
hjic-750	86	22	random	random	ADJ
hjic-750	86	23	samples	sample	NOUN
hjic-750	86	24	.	.	PUNCT
hjic-750	87	1	n	n	PRON
hjic-750	87	2	shapirowilk	shapirowilk	NOUN
hjic-750	87	3	d	d	NOUN
hjic-750	87	4	’	'	PUNCT
hjic-750	87	5	agostino	agostino	PROPN
hjic-750	87	6	anscombeglynn	anscombeglynn	NOUN
hjic-750	87	7	bonettseier	bonettseier	PROPN
hjic-750	87	8	jarque	jarque	PROPN
hjic-750	87	9	-bera	-bera	PROPN
hjic-750	87	10	4	4	NUM
hjic-750	87	11	0.0502	0.0502	NUM
hjic-750	87	12	5	5	NUM
hjic-750	87	13	0.0521	0.0521	NUM
hjic-750	87	14	0.0373	0.0373	NUM
hjic-750	87	15	6	6	NUM
hjic-750	87	16	0.0477	0.0477	NUM
hjic-750	87	17	0.0189	0.0189	NUM
hjic-750	87	18	0.0087	0.0087	NUM
hjic-750	87	19	7	7	NUM
hjic-750	87	20	0.0492	0.0492	NUM
hjic-750	87	21	0.0343	0.0343	NUM
hjic-750	87	22	0.0282	0.0282	NUM
hjic-750	87	23	8	8	NUM
hjic-750	87	24	0.0505	0.0505	NUM
hjic-750	87	25	0.0365	0.0365	NUM
hjic-750	87	26	0.0348	0.0348	NUM
hjic-750	87	27	9	9	NUM
hjic-750	87	28	0.0507	0.0507	NUM
hjic-750	87	29	0.0538	0.0538	NUM
hjic-750	87	30	0.0369	0.0369	NUM
hjic-750	87	31	0.0390	0.0390	NUM
hjic-750	87	32	0.0024	0.0024	NUM
hjic-750	87	33	10	10	NUM
hjic-750	87	34	0.0498	0.0498	NUM
hjic-750	88	1	0.0528	0.0528	NUM
hjic-750	88	2	0.0394	0.0394	NUM
hjic-750	88	3	0.0417	0.0417	NUM
hjic-750	88	4	0.0058	0.0058	NUM
hjic-750	88	5	20	20	NUM
hjic-750	88	6	0.0497	0.0497	NUM
hjic-750	88	7	0.0525	0.0525	NUM
hjic-750	88	8	0.0406	0.0406	NUM
hjic-750	88	9	0.0421	0.0421	NUM
hjic-750	88	10	0.0089	0.0089	NUM
hjic-750	88	11	50	50	NUM
hjic-750	88	12	0.0498	0.0498	NUM
hjic-750	88	13	0.0500	0.0500	NUM
hjic-750	88	14	0.0466	0.0466	NUM
hjic-750	88	15	0.0470	0.0470	NUM
hjic-750	88	16	0.0241	0.0241	NUM
hjic-750	88	17	100	100	NUM
hjic-750	88	18	0.0499	0.0499	NUM
hjic-750	88	19	0.0493	0.0493	NUM
hjic-750	88	20	0.0533	0.0533	NUM
hjic-750	88	21	0.0490	0.0490	NUM
hjic-750	88	22	0.0368	0.0368	NUM
hjic-750	88	23	in	in	ADP
hjic-750	88	24	table	table	NOUN
hjic-750	88	25	3	3	NUM
hjic-750	88	26	the	the	DET
hjic-750	88	27	type	type	NOUN
hjic-750	88	28	-	-	PUNCT
hjic-750	88	29	i	i	PRON
hjic-750	88	30	error	error	NOUN
hjic-750	88	31	of	of	ADP
hjic-750	88	32	some	some	DET
hjic-750	88	33	normality	normality	NOUN
hjic-750	88	34	tests	test	NOUN
hjic-750	88	35	calculated	calculate	VERB
hjic-750	88	36	on	on	ADP
hjic-750	88	37	105	105	NUM
hjic-750	88	38	standard	standard	ADJ
hjic-750	88	39	normal	normal	ADJ
hjic-750	88	40	samples	sample	NOUN
hjic-750	88	41	is	be	AUX
hjic-750	88	42	shown	show	VERB
hjic-750	88	43	.	.	PUNCT
hjic-750	89	1	in	in	ADP
hjic-750	89	2	the	the	DET
hjic-750	89	3	calculation	calculation	NOUN
hjic-750	89	4	the	the	DET
hjic-750	89	5	‘	'	PUNCT
hjic-750	89	6	moments	moment	NOUN
hjic-750	89	7	’	'	PUNCT
hjic-750	89	8	package	package	NOUN
hjic-750	89	9	in	in	ADP
hjic-750	89	10	r	r	NOUN
hjic-750	89	11	was	be	AUX
hjic-750	89	12	used	use	VERB
hjic-750	89	13	[	[	PUNCT
hjic-750	89	14	13	13	NUM
hjic-750	89	15	]	]	PUNCT
hjic-750	89	16	.	.	PUNCT
hjic-750	90	1	table	table	NOUN
hjic-750	90	2	3	3	NUM
hjic-750	90	3	contains	contain	VERB
hjic-750	90	4	the	the	DET
hjic-750	90	5	ratio	ratio	NOUN
hjic-750	90	6	of	of	ADP
hjic-750	90	7	the	the	DET
hjic-750	90	8	samples	sample	NOUN
hjic-750	90	9	to	to	ADP
hjic-750	90	10	all	all	DET
hjic-750	90	11	samples	sample	NOUN
hjic-750	90	12	where	where	SCONJ
hjic-750	90	13	the	the	DET
hjic-750	90	14	h0	h0	ADJ
hjic-750	90	15	hypothesis	hypothesis	NOUN
hjic-750	90	16	of	of	ADP
hjic-750	90	17	normality	normality	NOUN
hjic-750	90	18	was	be	AUX
hjic-750	90	19	rejected	reject	VERB
hjic-750	90	20	at	at	ADP
hjic-750	90	21	the	the	DET
hjic-750	90	22	significance	significance	NOUN
hjic-750	90	23	level	level	NOUN
hjic-750	90	24	of	of	ADP
hjic-750	90	25	0.05	0.05	NUM
hjic-750	90	26	.	.	PUNCT
hjic-750	91	1	the	the	DET
hjic-750	91	2	shapirowilk	shapirowilk	NOUN
hjic-750	91	3	method	method	NOUN
hjic-750	91	4	[	[	X
hjic-750	91	5	14	14	NUM
hjic-750	91	6	]	]	PUNCT
hjic-750	91	7	uses	use	VERB
hjic-750	91	8	the	the	DET
hjic-750	91	9	ratio	ratio	NOUN
hjic-750	91	10	of	of	ADP
hjic-750	91	11	two	two	NUM
hjic-750	91	12	unbiased	unbiased	ADJ
hjic-750	91	13	estimators	estimator	NOUN
hjic-750	91	14	of	of	ADP
hjic-750	91	15	the	the	DET
hjic-750	91	16	variance	variance	NOUN
hjic-750	91	17	,	,	PUNCT
hjic-750	91	18	and	and	CCONJ
hjic-750	91	19	is	be	AUX
hjic-750	91	20	suitable	suitable	ADJ
hjic-750	91	21	for	for	ADP
hjic-750	91	22	all	all	DET
hjic-750	91	23	data	datum	NOUN
hjic-750	91	24	sizes	size	NOUN
hjic-750	91	25	.	.	PUNCT
hjic-750	92	1	the	the	DET
hjic-750	92	2	skewness	skewness	NOUN
hjic-750	92	3	test	test	NOUN
hjic-750	92	4	of	of	ADP
hjic-750	92	5	d’agostino	d’agostino	NOUN
hjic-750	92	6	[	[	X
hjic-750	92	7	15	15	NUM
hjic-750	92	8	]	]	PUNCT
hjic-750	92	9	slightly	slightly	ADV
hjic-750	92	10	overestimates	overestimate	VERB
hjic-750	92	11	the	the	DET
hjic-750	92	12	number	number	NOUN
hjic-750	92	13	of	of	ADP
hjic-750	92	14	rejected	reject	VERB
hjic-750	92	15	cases	case	NOUN
hjic-750	92	16	.	.	PUNCT
hjic-750	93	1	it	it	PRON
hjic-750	93	2	is	be	AUX
hjic-750	93	3	based	base	VERB
hjic-750	93	4	on	on	ADP
hjic-750	93	5	the	the	DET
hjic-750	93	6	normalized	normalize	VERB
hjic-750	93	7	third	third	ADJ
hjic-750	93	8	-	-	PUNCT
hjic-750	93	9	order	order	NOUN
hjic-750	93	10	central	central	ADJ
hjic-750	93	11	moment	moment	NOUN
hjic-750	93	12	definition	definition	NOUN
hjic-750	93	13	of	of	ADP
hjic-750	93	14	skewness	skewness	NOUN
hjic-750	93	15	,	,	PUNCT
hjic-750	93	16	where	where	SCONJ
hjic-750	93	17	the	the	DET
hjic-750	93	18	expected	expect	VERB
hjic-750	93	19	value	value	NOUN
hjic-750	93	20	is	be	AUX
hjic-750	93	21	estimated	estimate	VERB
hjic-750	93	22	without	without	ADP
hjic-750	93	23	bias	bias	NOUN
hjic-750	93	24	.	.	PUNCT
hjic-750	94	1	the	the	DET
hjic-750	94	2	anscombe	anscombe	PROPN
hjic-750	94	3	-	-	PUNCT
hjic-750	94	4	glynn	glynn	PROPN
hjic-750	94	5	[	[	X
hjic-750	94	6	16	16	NUM
hjic-750	94	7	]	]	PUNCT
hjic-750	94	8	test	test	NOUN
hjic-750	94	9	applies	apply	VERB
hjic-750	94	10	pearson	pearson	PROPN
hjic-750	94	11	’s	’s	PART
hjic-750	94	12	kurtosis	kurtosis	NOUN
hjic-750	94	13	without	without	ADP
hjic-750	94	14	size	size	NOUN
hjic-750	94	15	correction	correction	NOUN
hjic-750	94	16	using	use	VERB
hjic-750	94	17	a	a	DET
hjic-750	94	18	biased	biased	ADJ
hjic-750	94	19	estimation	estimation	NOUN
hjic-750	94	20	of	of	ADP
hjic-750	94	21	normally	normally	ADV
hjic-750	94	22	distributed	distribute	VERB
hjic-750	94	23	data	datum	NOUN
hjic-750	94	24	.	.	PUNCT
hjic-750	95	1	the	the	DET
hjic-750	95	2	bonettseier	bonettseier	NOUN
hjic-750	95	3	[	[	X
hjic-750	95	4	12	12	NUM
hjic-750	95	5	]	]	PUNCT
hjic-750	95	6	test	test	NOUN
hjic-750	95	7	shown	show	VERB
hjic-750	95	8	here	here	ADV
hjic-750	95	9	uses	use	VERB
hjic-750	95	10	geary	geary	PROPN
hjic-750	95	11	’s	’s	PART
hjic-750	95	12	kurtosis	kurtosis	NOUN
hjic-750	95	13	and	and	CCONJ
hjic-750	95	14	the	the	DET
hjic-750	95	15	jarque	jarque	NOUN
hjic-750	95	16	-	-	PUNCT
hjic-750	95	17	bera	bera	NOUN
hjic-750	95	18	test	test	NOUN
hjic-750	96	1	[	[	X
hjic-750	96	2	17	17	NUM
hjic-750	96	3	]	]	PUNCT
hjic-750	96	4	combines	combine	VERB
hjic-750	96	5	skewness	skewness	NOUN
hjic-750	96	6	and	and	CCONJ
hjic-750	96	7	pearson	pearson	PROPN
hjic-750	96	8	’s	’s	PART
hjic-750	96	9	kurtosis	kurtosis	NOUN
hjic-750	96	10	.	.	PUNCT
hjic-750	97	1	the	the	DET
hjic-750	97	2	performance	performance	NOUN
hjic-750	97	3	of	of	ADP
hjic-750	97	4	the	the	DET
hjic-750	97	5	last	last	ADJ
hjic-750	97	6	three	three	NUM
hjic-750	97	7	tests	test	NOUN
hjic-750	97	8	was	be	AUX
hjic-750	97	9	rather	rather	ADV
hjic-750	97	10	weak	weak	ADJ
hjic-750	97	11	for	for	ADP
hjic-750	97	12	small	small	ADJ
hjic-750	97	13	sample	sample	NOUN
hjic-750	97	14	sizes	size	NOUN
hjic-750	97	15	,	,	PUNCT
hjic-750	97	16	whereof	whereof	X
hjic-750	97	17	one	one	NUM
hjic-750	97	18	cause	cause	NOUN
hjic-750	97	19	might	might	AUX
hjic-750	97	20	be	be	AUX
hjic-750	97	21	the	the	DET
hjic-750	97	22	lack	lack	NOUN
hjic-750	97	23	of	of	ADP
hjic-750	97	24	correction	correction	NOUN
hjic-750	97	25	for	for	ADP
hjic-750	97	26	small	small	ADJ
hjic-750	97	27	sample	sample	NOUN
hjic-750	97	28	sizes	size	NOUN
hjic-750	97	29	even	even	ADV
hjic-750	97	30	for	for	ADP
hjic-750	97	31	normally	normally	ADV
hjic-750	97	32	distributed	distribute	VERB
hjic-750	97	33	data	datum	NOUN
hjic-750	97	34	.	.	PUNCT
hjic-750	98	1	these	these	DET
hjic-750	98	2	tests	test	NOUN
hjic-750	98	3	are	be	AUX
hjic-750	98	4	usually	usually	ADV
hjic-750	98	5	only	only	ADV
hjic-750	98	6	recommended	recommend	VERB
hjic-750	98	7	for	for	ADP
hjic-750	98	8	medium	medium	ADJ
hjic-750	98	9	and	and	CCONJ
hjic-750	98	10	large	large	ADJ
hjic-750	98	11	sample	sample	NOUN
hjic-750	98	12	sizes	size	NOUN
hjic-750	98	13	.	.	PUNCT
hjic-750	99	1	the	the	DET
hjic-750	99	2	correction	correction	NOUN
hjic-750	99	3	should	should	AUX
hjic-750	99	4	extend	extend	VERB
hjic-750	99	5	the	the	DET
hjic-750	99	6	applicability	applicability	NOUN
hjic-750	99	7	domain	domain	NOUN
hjic-750	99	8	to	to	ADP
hjic-750	99	9	small	small	ADJ
hjic-750	99	10	sample	sample	NOUN
hjic-750	99	11	sizes	size	NOUN
hjic-750	99	12	.	.	PUNCT
hjic-750	100	1	of	of	ADP
hjic-750	100	2	course	course	NOUN
hjic-750	100	3	,	,	PUNCT
hjic-750	100	4	the	the	DET
hjic-750	100	5	type	type	NOUN
hjic-750	100	6	-	-	PUNCT
hjic-750	100	7	i	i	PRON
hjic-750	100	8	error	error	NOUN
hjic-750	100	9	of	of	ADP
hjic-750	100	10	normally	normally	ADV
hjic-750	100	11	distributed	distribute	VERB
hjic-750	100	12	data	data	NOUN
hjic-750	100	13	is	be	AUX
hjic-750	100	14	only	only	ADV
hjic-750	100	15	one	one	NUM
hjic-750	100	16	narrow	narrow	ADJ
hjic-750	100	17	aspect	aspect	NOUN
hjic-750	100	18	of	of	ADP
hjic-750	100	19	a	a	DET
hjic-750	100	20	test	test	NOUN
hjic-750	100	21	,	,	PUNCT
hjic-750	100	22	detailed	detailed	ADJ
hjic-750	100	23	analysis	analysis	NOUN
hjic-750	100	24	should	should	AUX
hjic-750	100	25	be	be	AUX
hjic-750	100	26	performed	perform	VERB
hjic-750	100	27	to	to	PART
hjic-750	100	28	investigate	investigate	VERB
hjic-750	100	29	the	the	DET
hjic-750	100	30	effect	effect	NOUN
hjic-750	100	31	of	of	ADP
hjic-750	100	32	correction	correction	NOUN
hjic-750	100	33	on	on	ADP
hjic-750	100	34	many	many	ADJ
hjic-750	100	35	distributions	distribution	NOUN
hjic-750	100	36	,	,	PUNCT
hjic-750	100	37	like	like	INTJ
hjic-750	100	38	,	,	PUNCT
hjic-750	100	39	e.g.	e.g.	ADV
hjic-750	100	40	in	in	ADP
hjic-750	100	41	ref	ref	NOUN
hjic-750	100	42	.	.	PUNCT
hjic-750	101	1	[	[	X
hjic-750	101	2	12	12	NUM
hjic-750	101	3	]	]	PUNCT
hjic-750	101	4	.	.	PUNCT
hjic-750	102	1	4	4	X
hjic-750	102	2	.	.	X
hjic-750	102	3	conclusion	conclusion	NOUN
hjic-750	102	4	nowadays	nowadays	ADV
hjic-750	102	5	,	,	PUNCT
hjic-750	102	6	data	datum	NOUN
hjic-750	102	7	are	be	AUX
hjic-750	102	8	evaluated	evaluate	VERB
hjic-750	102	9	by	by	ADP
hjic-750	102	10	computers	computer	NOUN
hjic-750	102	11	and	and	CCONJ
hjic-750	102	12	biased	biased	ADJ
hjic-750	102	13	estimators	estimator	NOUN
hjic-750	102	14	can	can	AUX
hjic-750	102	15	be	be	AUX
hjic-750	102	16	replaced	replace	VERB
hjic-750	102	17	by	by	ADP
hjic-750	102	18	unbiased	unbiased	ADJ
hjic-750	102	19	ones	one	NOUN
hjic-750	102	20	,	,	PUNCT
hjic-750	102	21	even	even	ADV
hjic-750	102	22	if	if	SCONJ
hjic-750	102	23	their	their	PRON
hjic-750	102	24	calculation	calculation	NOUN
hjic-750	102	25	schemes	scheme	NOUN
hjic-750	102	26	are	be	AUX
hjic-750	102	27	complex	complex	ADJ
hjic-750	102	28	.	.	PUNCT
hjic-750	103	1	it	it	PRON
hjic-750	103	2	has	have	AUX
hjic-750	103	3	been	be	AUX
hjic-750	103	4	shown	show	VERB
hjic-750	103	5	that	that	SCONJ
hjic-750	103	6	,	,	PUNCT
hjic-750	103	7	in	in	ADP
hjic-750	103	8	terms	term	NOUN
hjic-750	103	9	of	of	ADP
hjic-750	103	10	student	student	NOUN
hjic-750	103	11	’s	’s	PART
hjic-750	103	12	tdistributions	tdistribution	NOUN
hjic-750	103	13	,	,	PUNCT
hjic-750	103	14	to	to	PART
hjic-750	103	15	decide	decide	VERB
hjic-750	103	16	upon	upon	SCONJ
hjic-750	103	17	the	the	DET
hjic-750	103	18	confidences	confidence	NOUN
hjic-750	103	19	of	of	ADP
hjic-750	103	20	statistics	statistic	NOUN
hjic-750	103	21	one	one	PRON
hjic-750	103	22	has	have	VERB
hjic-750	103	23	two	two	NUM
hjic-750	103	24	functions	function	NOUN
hjic-750	103	25	which	which	PRON
hjic-750	103	26	are	be	AUX
hjic-750	103	27	completely	completely	ADV
hjic-750	103	28	equivalent	equivalent	ADJ
hjic-750	103	29	as	as	ADV
hjic-750	103	30	far	far	ADV
hjic-750	103	31	as	as	SCONJ
hjic-750	103	32	practical	practical	ADJ
hjic-750	103	33	applicability	applicability	NOUN
hjic-750	103	34	is	be	AUX
hjic-750	103	35	concerned	concern	VERB
hjic-750	103	36	.	.	PUNCT
hjic-750	104	1	they	they	PRON
hjic-750	104	2	can	can	AUX
hjic-750	104	3	,	,	PUNCT
hjic-750	104	4	however	however	ADV
hjic-750	104	5	,	,	PUNCT
hjic-750	104	6	be	be	AUX
hjic-750	104	7	distinguished	distinguish	VERB
hjic-750	104	8	theoretically	theoretically	ADV
hjic-750	104	9	.	.	PUNCT
hjic-750	105	1	the	the	DET
hjic-750	105	2	assertion	assertion	NOUN
hjic-750	105	3	that	that	SCONJ
hjic-750	105	4	only	only	ADV
hjic-750	105	5	the	the	DET
hjic-750	105	6	unbiased	unbiased	ADJ
hjic-750	105	7	estimator	estimator	NOUN
hjic-750	105	8	should	should	AUX
hjic-750	105	9	be	be	AUX
hjic-750	105	10	recognized	recognize	VERB
hjic-750	105	11	as	as	ADP
hjic-750	105	12	the	the	DET
hjic-750	105	13	correct	correct	ADJ
hjic-750	105	14	one	one	NOUN
hjic-750	105	15	implies	imply	VERB
hjic-750	105	16	the	the	DET
hjic-750	105	17	use	use	NOUN
hjic-750	105	18	of	of	ADP
hjic-750	105	19	the	the	DET
hjic-750	105	20	corrected	correct	VERB
hjic-750	105	21	student	student	NOUN
hjic-750	105	22	’s	’s	PART
hjic-750	105	23	t	t	NOUN
hjic-750	105	24	-	-	PUNCT
hjic-750	105	25	distribution	distribution	NOUN
hjic-750	105	26	,	,	PUNCT
hjic-750	105	27	f(tc	f(tc	NOUN
hjic-750	105	28	)	)	PUNCT
hjic-750	105	29	.	.	PUNCT
hjic-750	106	1	in	in	ADP
hjic-750	106	2	that	that	DET
hjic-750	106	3	case	case	NOUN
hjic-750	106	4	the	the	DET
hjic-750	106	5	known	know	VERB
hjic-750	106	6	shape	shape	NOUN
hjic-750	106	7	of	of	ADP
hjic-750	106	8	the	the	DET
hjic-750	106	9	student	student	NOUN
hjic-750	106	10	’s	’s	PART
hjic-750	106	11	t	t	PROPN
hjic-750	106	12	-	-	PUNCT
hjic-750	106	13	distribution	distribution	NOUN
hjic-750	106	14	may	may	AUX
hjic-750	106	15	be	be	AUX
hjic-750	106	16	labelled	label	VERB
hjic-750	106	17	as	as	ADP
hjic-750	106	18	an	an	DET
hjic-750	106	19	artefact	artefact	NOUN
hjic-750	106	20	and	and	CCONJ
hjic-750	106	21	the	the	DET
hjic-750	106	22	usual	usual	ADJ
hjic-750	106	23	application	application	NOUN
hjic-750	106	24	of	of	ADP
hjic-750	106	25	the	the	DET
hjic-750	106	26	student	student	NOUN
hjic-750	106	27	’s	’s	PART
hjic-750	106	28	tdistribution	tdistribution	NOUN
hjic-750	106	29	as	as	ADP
hjic-750	106	30	a	a	DET
hjic-750	106	31	production	production	NOUN
hjic-750	106	32	of	of	ADP
hjic-750	106	33	“	"	PUNCT
hjic-750	106	34	correct	correct	ADJ
hjic-750	106	35	numbers	number	NOUN
hjic-750	106	36	by	by	ADP
hjic-750	106	37	an	an	DET
hjic-750	106	38	incoherent	incoherent	ADJ
hjic-750	106	39	theory	theory	NOUN
hjic-750	106	40	”	"	PUNCT
hjic-750	106	41	.	.	PUNCT
hjic-750	107	1	in	in	ADP
hjic-750	107	2	the	the	DET
hjic-750	107	3	case	case	NOUN
hjic-750	107	4	of	of	ADP
hjic-750	107	5	geary	geary	PROPN
hjic-750	107	6	’s	’s	PART
hjic-750	107	7	kurtosis	kurtosis	NOUN
hjic-750	107	8	,	,	PUNCT
hjic-750	107	9	the	the	DET
hjic-750	107	10	correction	correction	NOUN
hjic-750	107	11	removes	remove	VERB
hjic-750	107	12	the	the	DET
hjic-750	107	13	sample	sample	NOUN
hjic-750	107	14	-	-	PUNCT
hjic-750	107	15	size	size	NOUN
hjic-750	107	16	dependence	dependence	NOUN
hjic-750	107	17	from	from	ADP
hjic-750	107	18	the	the	DET
hjic-750	107	19	expected	expect	VERB
hjic-750	107	20	value	value	NOUN
hjic-750	107	21	.	.	PUNCT
hjic-750	108	1	this	this	DET
hjic-750	108	2	change	change	NOUN
hjic-750	108	3	of	of	ADP
hjic-750	108	4	distinguishing	distinguish	VERB
hjic-750	108	5	platykurtic	platykurtic	ADJ
hjic-750	108	6	or	or	CCONJ
hjic-750	108	7	leptokurtic	leptokurtic	ADJ
hjic-750	108	8	features	feature	NOUN
hjic-750	108	9	of	of	ADP
hjic-750	108	10	the	the	DET
hjic-750	108	11	sample	sample	NOUN
hjic-750	108	12	is	be	AUX
hjic-750	108	13	simpler	simple	ADJ
hjic-750	108	14	than	than	ADP
hjic-750	108	15	using	use	VERB
hjic-750	108	16	the	the	DET
hjic-750	108	17	original	original	ADJ
hjic-750	108	18	version	version	NOUN
hjic-750	108	19	of	of	ADP
hjic-750	108	20	geary	geary	PROPN
hjic-750	108	21	’s	’s	PART
hjic-750	108	22	kurtosis	kurtosis	NOUN
hjic-750	108	23	.	.	PUNCT
hjic-750	109	1	furthermore	furthermore	ADV
hjic-750	109	2	,	,	PUNCT
hjic-750	109	3	subtracting	subtract	VERB
hjic-750	109	4	(	(	PUNCT
hjic-750	109	5	2	2	NUM
hjic-750	109	6	/	/	SYM
hjic-750	109	7	π)1/2	π)1/2	NUM
hjic-750	109	8	results	result	NOUN
hjic-750	109	9	in	in	ADP
hjic-750	109	10	a	a	DET
hjic-750	109	11	number	number	NOUN
hjic-750	109	12	to	to	PART
hjic-750	109	13	be	be	AUX
hjic-750	109	14	interpreted	interpret	VERB
hjic-750	109	15	in	in	ADP
hjic-750	109	16	a	a	DET
hjic-750	109	17	similar	similar	ADJ
hjic-750	109	18	way	way	NOUN
hjic-750	109	19	to	to	ADP
hjic-750	109	20	the	the	DET
hjic-750	109	21	excess	excess	ADJ
hjic-750	109	22	kurtosis	kurtosis	NOUN
hjic-750	109	23	obtained	obtain	VERB
hjic-750	109	24	by	by	ADP
hjic-750	109	25	subtracting	subtract	VERB
hjic-750	109	26	3	3	NUM
hjic-750	109	27	from	from	ADP
hjic-750	109	28	the	the	DET
hjic-750	109	29	pearson	pearson	PROPN
hjic-750	109	30	’s	’s	PART
hjic-750	109	31	kurtosis	kurtosis	NOUN
hjic-750	109	32	.	.	PUNCT
hjic-750	110	1	as	as	ADP
hjic-750	110	2	a	a	DET
hjic-750	110	3	further	further	ADJ
hjic-750	110	4	study	study	NOUN
hjic-750	110	5	,	,	PUNCT
hjic-750	110	6	the	the	DET
hjic-750	110	7	use	use	NOUN
hjic-750	110	8	of	of	ADP
hjic-750	110	9	unbiased	unbiased	ADJ
hjic-750	110	10	/	/	SYM
hjic-750	110	11	samplesize	samplesize	NOUN
hjic-750	110	12	-	-	PUNCT
hjic-750	110	13	dependent	dependent	ADJ
hjic-750	110	14	corrections	correction	NOUN
hjic-750	110	15	to	to	PART
hjic-750	110	16	extend	extend	VERB
hjic-750	110	17	the	the	DET
hjic-750	110	18	applicability	applicability	NOUN
hjic-750	110	19	domain	domain	NOUN
hjic-750	110	20	to	to	ADP
hjic-750	110	21	small	small	ADJ
hjic-750	110	22	sample	sample	NOUN
hjic-750	110	23	sizes	size	NOUN
hjic-750	110	24	in	in	ADP
hjic-750	110	25	the	the	DET
hjic-750	110	26	case	case	NOUN
hjic-750	110	27	of	of	ADP
hjic-750	110	28	normality	normality	NOUN
hjic-750	110	29	tests	test	NOUN
hjic-750	110	30	is	be	AUX
hjic-750	110	31	recommended	recommend	VERB
hjic-750	110	32	.	.	PUNCT
hjic-750	111	1	it	it	PRON
hjic-750	111	2	is	be	AUX
hjic-750	111	3	believed	believe	VERB
hjic-750	111	4	that	that	SCONJ
hjic-750	111	5	the	the	DET
hjic-750	111	6	use	use	NOUN
hjic-750	111	7	of	of	ADP
hjic-750	111	8	biased	biased	ADJ
hjic-750	111	9	estimators	estimator	NOUN
hjic-750	111	10	was	be	AUX
hjic-750	111	11	acceptable	acceptable	ADJ
hjic-750	111	12	before	before	SCONJ
hjic-750	111	13	the	the	DET
hjic-750	111	14	age	age	NOUN
hjic-750	111	15	of	of	ADP
hjic-750	111	16	computers	computer	NOUN
hjic-750	111	17	and	and	CCONJ
hjic-750	111	18	a	a	DET
hjic-750	111	19	systematic	systematic	ADJ
hjic-750	111	20	change	change	NOUN
hjic-750	111	21	to	to	ADP
hjic-750	111	22	unbiased	unbiased	ADJ
hjic-750	111	23	ones	one	NOUN
hjic-750	111	24	might	might	AUX
hjic-750	111	25	be	be	AUX
hjic-750	111	26	necessary	necessary	ADJ
hjic-750	111	27	in	in	ADP
hjic-750	111	28	terms	term	NOUN
hjic-750	111	29	of	of	ADP
hjic-750	111	30	statistics	statistic	NOUN
hjic-750	111	31	and	and	CCONJ
hjic-750	111	32	standards	standard	NOUN
hjic-750	111	33	with	with	ADP
hjic-750	111	34	regard	regard	NOUN
hjic-750	111	35	to	to	ADP
hjic-750	111	36	industrial	industrial	ADJ
hjic-750	111	37	processes	process	NOUN
hjic-750	111	38	.	.	PUNCT
hjic-750	112	1	acknowledgement	acknowledgement	NOUN
hjic-750	112	2	the	the	DET
hjic-750	112	3	authors	author	NOUN
hjic-750	112	4	are	be	AUX
hjic-750	112	5	sincerely	sincerely	ADV
hjic-750	112	6	grateful	grateful	ADJ
hjic-750	112	7	for	for	ADP
hjic-750	112	8	the	the	DET
hjic-750	112	9	valuable	valuable	ADJ
hjic-750	112	10	comments	comment	NOUN
hjic-750	112	11	of	of	ADP
hjic-750	112	12	prof	prof	NOUN
hjic-750	112	13	.	.	PUNCT
hjic-750	113	1	s.	s.	PROPN
hjic-750	113	2	kemény	kemény	PROPN
hjic-750	113	3	and	and	CCONJ
hjic-750	113	4	other	other	ADJ
hjic-750	113	5	participants	participant	NOUN
hjic-750	113	6	during	during	ADP
hjic-750	113	7	the	the	DET
hjic-750	113	8	scientific	scientific	ADJ
hjic-750	113	9	discussion	discussion	NOUN
hjic-750	113	10	after	after	ADP
hjic-750	113	11	the	the	DET
hjic-750	113	12	presentation	presentation	NOUN
hjic-750	113	13	concerning	concern	VERB
hjic-750	113	14	student	student	NOUN
hjic-750	113	15	’s	’s	PART
hjic-750	113	16	t	t	NOUN
hjic-750	113	17	-	-	PUNCT
hjic-750	113	18	distribution	distribution	NOUN
hjic-750	113	19	at	at	ADP
hjic-750	113	20	the	the	DET
hjic-750	113	21	scac	scac	PROPN
hjic-750	113	22	2010	2010	NUM
hjic-750	113	23	conference	conference	NOUN
hjic-750	113	24	in	in	ADP
hjic-750	113	25	budapest	budapest	NOUN
hjic-750	113	26	in	in	ADP
hjic-750	113	27	september	september	PROPN
hjic-750	113	28	2010	2010	NUM
hjic-750	113	29	.	.	PUNCT
hjic-750	114	1	references	reference	NOUN
hjic-750	114	2	[	[	X
hjic-750	114	3	1	1	NUM
hjic-750	114	4	]	]	X
hjic-750	114	5	student	student	NOUN
hjic-750	114	6	(	(	PUNCT
hjic-750	114	7	gosset	gosset	PROPN
hjic-750	114	8	,	,	PUNCT
hjic-750	114	9	w.s	w.s	PROPN
hjic-750	114	10	.	.	PROPN
hjic-750	114	11	):	):	PUNCT
hjic-750	114	12	the	the	DET
hjic-750	114	13	probable	probable	ADJ
hjic-750	114	14	error	error	NOUN
hjic-750	114	15	of	of	ADP
hjic-750	114	16	a	a	DET
hjic-750	114	17	mean	mean	NOUN
hjic-750	114	18	,	,	PUNCT
hjic-750	114	19	biometrika	biometrika	NOUN
hjic-750	114	20	1908	1908	NUM
hjic-750	114	21	6(1	6(1	NUM
hjic-750	114	22	)	)	PUNCT
hjic-750	114	23	,	,	PUNCT
hjic-750	114	24	1–25	1–25	PROPN
hjic-750	114	25	doi	doi	NOUN
hjic-750	114	26	:	:	PUNCT
hjic-750	114	27	10.2307/2331554	10.2307/2331554	NUM
hjic-750	115	1	[	[	X
hjic-750	115	2	2	2	NUM
hjic-750	115	3	]	]	X
hjic-750	115	4	zabell	zabell	PROPN
hjic-750	115	5	,	,	PUNCT
hjic-750	115	6	s.l	s.l	PROPN
hjic-750	115	7	.	.	PROPN
hjic-750	115	8	:	:	PUNCT
hjic-750	115	9	on	on	ADP
hjic-750	115	10	student	student	NOUN
hjic-750	115	11	’s	’s	PART
hjic-750	115	12	1908	1908	NUM
hjic-750	115	13	article	article	NOUN
hjic-750	115	14	“	"	PUNCT
hjic-750	115	15	the	the	DET
hjic-750	115	16	probable	probable	ADJ
hjic-750	115	17	error	error	NOUN
hjic-750	115	18	of	of	ADP
hjic-750	115	19	a	a	DET
hjic-750	115	20	mean	mean	NOUN
hjic-750	115	21	”	"	PUNCT
hjic-750	115	22	,	,	PUNCT
hjic-750	115	23	j.	j.	PROPN
hjic-750	115	24	am	am	PROPN
hjic-750	115	25	.	.	PUNCT
hjic-750	116	1	stat	stat	PROPN
hjic-750	116	2	.	.	PUNCT
hjic-750	117	1	assoc	assoc	PROPN
hjic-750	117	2	.	.	PUNCT
hjic-750	118	1	2008	2008	NUM
hjic-750	118	2	103(481	103(481	NUM
hjic-750	118	3	)	)	PUNCT
hjic-750	119	1	,	,	PUNCT
hjic-750	119	2	1–7	1–7	NUM
hjic-750	119	3	doi	doi	NOUN
hjic-750	119	4	:	:	PUNCT
hjic-750	119	5	10.1198/016214508000000049	10.1198/016214508000000049	NUM
hjic-750	119	6	[	[	X
hjic-750	119	7	3	3	NUM
hjic-750	119	8	]	]	X
hjic-750	119	9	helmert	helmert	NOUN
hjic-750	119	10	,	,	PUNCT
hjic-750	119	11	f.r	f.r	PROPN
hjic-750	119	12	.	.	PUNCT
hjic-750	119	13	:	:	PUNCT
hjic-750	119	14	über	über	PROPN
hjic-750	119	15	die	die	VERB
hjic-750	119	16	wahrscheinlichkeit	wahrscheinlichkeit	PROPN
hjic-750	119	17	der	der	ADJ
hjic-750	119	18	potenzsummen	potenzsumman	NOUN
hjic-750	119	19	der	der	PROPN
hjic-750	119	20	beobachtungsfehler	beobachtungsfehler	PROPN
hjic-750	119	21	und	und	PROPN
hjic-750	119	22	über	über	PROPN
hjic-750	119	23	einige	einige	PROPN
hjic-750	119	24	damit	damit	PROPN
hjic-750	119	25	in	in	ADP
hjic-750	119	26	zusammenhang	zusammenhang	PROPN
hjic-750	119	27	stehende	stehende	PROPN
hjic-750	119	28	fragen	fragen	PROPN
hjic-750	119	29	,	,	PUNCT
hjic-750	119	30	z.	z.	PROPN
hjic-750	119	31	math	math	PROPN
hjic-750	119	32	.	.	PUNCT
hjic-750	120	1	phys	phy	NOUN
hjic-750	120	2	.	.	PUNCT
hjic-750	121	1	1876	1876	NUM
hjic-750	121	2	21	21	NUM
hjic-750	121	3	,	,	PUNCT
hjic-750	121	4	192–218	192–218	NUM
hjic-750	121	5	[	[	X
hjic-750	121	6	4	4	NUM
hjic-750	121	7	]	]	X
hjic-750	121	8	helmert	helmert	NOUN
hjic-750	121	9	,	,	PUNCT
hjic-750	121	10	f.r	f.r	PROPN
hjic-750	121	11	.	.	PUNCT
hjic-750	121	12	:	:	PUNCT
hjic-750	121	13	die	die	VERB
hjic-750	121	14	genauigkeit	genauigkeit	PROPN
hjic-750	121	15	der	der	PROPN
hjic-750	121	16	formel	formel	PROPN
hjic-750	121	17	von	von	PROPN
hjic-750	121	18	peters	peters	PROPN
hjic-750	121	19	zur	zur	PROPN
hjic-750	121	20	berechnung	berechnung	PROPN
hjic-750	121	21	des	des	PROPN
hjic-750	121	22	wahrscheinlichen	wahrscheinlichen	PROPN
hjic-750	121	23	beobachtungsfehles	beobachtungsfehles	PROPN
hjic-750	121	24	directer	directer	PROPN
hjic-750	121	25	beobachtungen	beobachtungen	NOUN
hjic-750	121	26	gleicher	gleicher	PROPN
hjic-750	121	27	genauigkeit	genauigkeit	NOUN
hjic-750	121	28	,	,	PUNCT
hjic-750	121	29	astronomische	astronomische	PROPN
hjic-750	121	30	nachrichten	nachrichten	NOUN
hjic-750	121	31	1876	1876	NUM
hjic-750	121	32	88(8	88(8	NUM
hjic-750	121	33	-	-	PUNCT
hjic-750	121	34	9	9	NUM
hjic-750	121	35	)	)	PUNCT
hjic-750	121	36	,	,	PUNCT
hjic-750	121	37	113–131	113–131	NUM
hjic-750	121	38	doi	doi	NOUN
hjic-750	121	39	:	:	PUNCT
hjic-750	121	40	10.1002	10.1002	NUM
hjic-750	121	41	/	/	SYM
hjic-750	121	42	asna.18760880802	asna.18760880802	PROPN
hjic-750	121	43	[	[	X
hjic-750	121	44	5	5	NUM
hjic-750	121	45	]	]	X
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hjic-750	121	47	,	,	PUNCT
hjic-750	121	48	r.a	r.a	PROPN
hjic-750	121	49	.	.	PROPN
hjic-750	121	50	:	:	PUNCT
hjic-750	122	1	applications	application	NOUN
hjic-750	122	2	of	of	ADP
hjic-750	122	3	“	"	PUNCT
hjic-750	122	4	student	student	NOUN
hjic-750	122	5	’s	’s	PART
hjic-750	122	6	”	"	PUNCT
hjic-750	122	7	distribution	distribution	NOUN
hjic-750	122	8	,	,	PUNCT
hjic-750	122	9	metron	metron	PROPN
hjic-750	122	10	1925	1925	NUM
hjic-750	122	11	5	5	NUM
hjic-750	122	12	,	,	PUNCT
hjic-750	122	13	90–104	90–104	PROPN
hjic-750	123	1	[	[	X
hjic-750	123	2	6	6	NUM
hjic-750	123	3	]	]	X
hjic-750	123	4	fischer	fischer	PROPN
hjic-750	123	5	,	,	PUNCT
hjic-750	123	6	r.a	r.a	PROPN
hjic-750	123	7	.	.	PROPN
hjic-750	123	8	:	:	PUNCT
hjic-750	123	9	statistical	statistical	ADJ
hjic-750	123	10	methods	method	NOUN
hjic-750	123	11	for	for	ADP
hjic-750	123	12	research	research	NOUN
hjic-750	123	13	workers	worker	NOUN
hjic-750	123	14	,	,	PUNCT
hjic-750	123	15	(	(	PUNCT
hjic-750	123	16	oliver	oliver	PROPN
hjic-750	123	17	&	&	CCONJ
hjic-750	123	18	boyd	boyd	PROPN
hjic-750	123	19	,	,	PUNCT
hjic-750	123	20	edinburgh	edinburgh	PROPN
hjic-750	123	21	and	and	CCONJ
hjic-750	123	22	london	london	PROPN
hjic-750	123	23	)	)	PUNCT
hjic-750	123	24	1925	1925	NUM
hjic-750	123	25	.	.	PUNCT
hjic-750	124	1	[	[	X
hjic-750	124	2	7	7	NUM
hjic-750	124	3	]	]	X
hjic-750	124	4	geary	geary	PROPN
hjic-750	124	5	,	,	PUNCT
hjic-750	124	6	r.c	r.c	PROPN
hjic-750	124	7	.	.	PROPN
hjic-750	124	8	:	:	PUNCT
hjic-750	125	1	moments	moment	NOUN
hjic-750	125	2	of	of	ADP
hjic-750	125	3	the	the	DET
hjic-750	125	4	ratio	ratio	NOUN
hjic-750	125	5	of	of	ADP
hjic-750	125	6	the	the	DET
hjic-750	125	7	mean	mean	ADJ
hjic-750	125	8	deviation	deviation	NOUN
hjic-750	125	9	to	to	ADP
hjic-750	125	10	the	the	DET
hjic-750	125	11	standard	standard	ADJ
hjic-750	125	12	deviation	deviation	NOUN
hjic-750	125	13	for	for	ADP
hjic-750	125	14	normal	normal	ADJ
hjic-750	125	15	samples	sample	NOUN
hjic-750	125	16	,	,	PUNCT
hjic-750	125	17	biometrika	biometrika	NOUN
hjic-750	125	18	1936	1936	NUM
hjic-750	125	19	28(3/4	28(3/4	NOUN
hjic-750	125	20	)	)	PUNCT
hjic-750	125	21	,	,	PUNCT
hjic-750	125	22	295–307	295–307	NUM
hjic-750	125	23	doi	doi	NOUN
hjic-750	125	24	:	:	PUNCT
hjic-750	125	25	10.2307/2333953	10.2307/2333953	NUM
hjic-750	125	26	[	[	X
hjic-750	125	27	8	8	NUM
hjic-750	125	28	]	]	PUNCT
hjic-750	125	29	grubbs	grubbs	PROPN
hjic-750	125	30	,	,	PUNCT
hjic-750	125	31	f.e	f.e	PROPN
hjic-750	125	32	.	.	PROPN
hjic-750	125	33	;	;	PUNCT
hjic-750	125	34	weaver	weaver	PROPN
hjic-750	125	35	,	,	PUNCT
hjic-750	125	36	c.l	c.l	PROPN
hjic-750	125	37	.	.	PROPN
hjic-750	125	38	:	:	PUNCT
hjic-750	125	39	the	the	DET
hjic-750	125	40	best	well	ADV
hjic-750	125	41	unbiased	unbiased	ADJ
hjic-750	125	42	estimate	estimate	NOUN
hjic-750	125	43	of	of	ADP
hjic-750	125	44	population	population	NOUN
hjic-750	125	45	standard	standard	ADJ
hjic-750	125	46	deviation	deviation	NOUN
hjic-750	125	47	based	base	VERB
hjic-750	125	48	on	on	ADP
hjic-750	125	49	group	group	NOUN
hjic-750	125	50	ranges	range	NOUN
hjic-750	125	51	,	,	PUNCT
hjic-750	125	52	j.	j.	PROPN
hjic-750	125	53	am	am	PROPN
hjic-750	125	54	.	.	PUNCT
hjic-750	126	1	stat	stat	PROPN
hjic-750	126	2	.	.	PUNCT
hjic-750	127	1	assoc	assoc	PROPN
hjic-750	127	2	.	.	PUNCT
hjic-750	128	1	1947	1947	NUM
hjic-750	128	2	42(238	42(238	NOUN
hjic-750	128	3	)	)	PUNCT
hjic-750	128	4	,	,	PUNCT
hjic-750	128	5	224–241	224–241	NUM
hjic-750	128	6	doi	doi	NOUN
hjic-750	128	7	:	:	PUNCT
hjic-750	128	8	10.1080/01621459.1947.10501922	10.1080/01621459.1947.10501922	NUM
hjic-750	128	9	note	note	NOUN
hjic-750	128	10	on	on	ADP
hjic-750	128	11	student	student	NOUN
hjic-750	128	12	’s	’s	PART
hjic-750	128	13	t	t	PROPN
hjic-750	128	14	-	-	PUNCT
hjic-750	128	15	distribution	distribution	NOUN
hjic-750	128	16	45(1	45(1	NOUN
hjic-750	128	17	)	)	PUNCT
hjic-750	128	18	pp	pp	ADJ
hjic-750	128	19	.	.	PUNCT
hjic-750	129	1	23–27	23–27	NUM
hjic-750	129	2	(	(	PUNCT
hjic-750	129	3	2017	2017	NUM
hjic-750	129	4	)	)	PUNCT
hjic-750	129	5	27	27	NUM
hjic-750	130	1	[	[	X
hjic-750	130	2	9	9	NUM
hjic-750	130	3	]	]	PUNCT
hjic-750	130	4	vincze	vincze	NOUN
hjic-750	130	5	,	,	PUNCT
hjic-750	130	6	i.	i.	NOUN
hjic-750	130	7	:	:	PUNCT
hjic-750	130	8	matematikai	matematikai	NOUN
hjic-750	130	9	statisztika	statisztika	PROPN
hjic-750	130	10	ipari	ipari	PROPN
hjic-750	130	11	alkalmazásokkal	alkalmazásokkal	PROPN
hjic-750	130	12	,	,	PUNCT
hjic-750	130	13	(	(	PUNCT
hjic-750	130	14	műszaki	műszaki	PROPN
hjic-750	130	15	kiadó	kiadó	PROPN
hjic-750	130	16	,	,	PUNCT
hjic-750	130	17	budapest	budapest	PROPN
hjic-750	130	18	)	)	PUNCT
hjic-750	130	19	,	,	PUNCT
hjic-750	130	20	1975	1975	NUM
hjic-750	130	21	pp	pp	NOUN
hjic-750	130	22	.	.	PUNCT
hjic-750	131	1	58	58	NUM
hjic-750	131	2	,	,	PUNCT
hjic-750	131	3	89	89	NUM
hjic-750	131	4	,	,	PUNCT
hjic-750	131	5	165–168	165–168	NUM
hjic-750	131	6	isbn	isbn	ADJ
hjic-750	131	7	963	963	NUM
hjic-750	131	8	-	-	SYM
hjic-750	131	9	10	10	NUM
hjic-750	131	10	-	-	PUNCT
hjic-750	131	11	0472	0472	NUM
hjic-750	131	12	-	-	SYM
hjic-750	131	13	4	4	NUM
hjic-750	132	1	[	[	SYM
hjic-750	132	2	10	10	NUM
hjic-750	132	3	]	]	X
hjic-750	132	4	cochran	cochran	NOUN
hjic-750	132	5	,	,	PUNCT
hjic-750	132	6	w.g	w.g	PROPN
hjic-750	132	7	.	.	PROPN
hjic-750	132	8	:	:	PUNCT
hjic-750	133	1	the	the	DET
hjic-750	133	2	distribution	distribution	NOUN
hjic-750	133	3	of	of	ADP
hjic-750	133	4	quadratic	quadratic	ADJ
hjic-750	133	5	forms	form	NOUN
hjic-750	133	6	in	in	ADP
hjic-750	133	7	a	a	DET
hjic-750	133	8	normal	normal	ADJ
hjic-750	133	9	system	system	NOUN
hjic-750	133	10	,	,	PUNCT
hjic-750	133	11	with	with	ADP
hjic-750	133	12	applications	application	NOUN
hjic-750	133	13	to	to	ADP
hjic-750	133	14	the	the	DET
hjic-750	133	15	analysis	analysis	NOUN
hjic-750	133	16	of	of	ADP
hjic-750	133	17	covariance	covariance	NOUN
hjic-750	133	18	,	,	PUNCT
hjic-750	133	19	math	math	NOUN
hjic-750	133	20	.	.	PUNCT
hjic-750	134	1	proc	proc	PROPN
hjic-750	134	2	.	.	PUNCT
hjic-750	135	1	cambridge	cambridge	PROPN
hjic-750	135	2	1934	1934	NUM
hjic-750	135	3	30(2	30(2	NUM
hjic-750	135	4	)	)	PUNCT
hjic-750	135	5	,	,	PUNCT
hjic-750	135	6	178–191	178–191	NUM
hjic-750	135	7	doi	doi	NOUN
hjic-750	135	8	:	:	PUNCT
hjic-750	135	9	10.1017	10.1017	NUM
hjic-750	135	10	/	/	SYM
hjic-750	135	11	s0305004100016595	s0305004100016595	NOUN
hjic-750	136	1	[	[	X
hjic-750	136	2	11	11	NUM
hjic-750	136	3	]	]	PUNCT
hjic-750	136	4	joanes	joane	NOUN
hjic-750	136	5	,	,	PUNCT
hjic-750	136	6	d.n	d.n	PROPN
hjic-750	136	7	.	.	PROPN
hjic-750	136	8	;	;	PUNCT
hjic-750	137	1	gill	gill	PROPN
hjic-750	137	2	,	,	PUNCT
hjic-750	137	3	c.a	c.a	PROPN
hjic-750	137	4	.	.	PROPN
hjic-750	137	5	:	:	PUNCT
hjic-750	137	6	comparing	compare	VERB
hjic-750	137	7	measures	measure	NOUN
hjic-750	137	8	of	of	ADP
hjic-750	137	9	sample	sample	NOUN
hjic-750	137	10	skewness	skewness	NOUN
hjic-750	137	11	and	and	CCONJ
hjic-750	137	12	kurtosis	kurtosis	NOUN
hjic-750	137	13	,	,	PUNCT
hjic-750	137	14	j.	j.	PROPN
hjic-750	137	15	roy	roy	PROPN
hjic-750	137	16	.	.	PROPN
hjic-750	137	17	stat	stat	PROPN
hjic-750	137	18	.	.	PUNCT
hjic-750	138	1	soc	soc	PROPN
hjic-750	138	2	.	.	PUNCT
hjic-750	139	1	dsta	dsta	PROPN
hjic-750	139	2	.	.	PUNCT
hjic-750	140	1	1998	1998	NUM
hjic-750	140	2	47(1	47(1	NUM
hjic-750	140	3	)	)	PUNCT
hjic-750	140	4	,	,	PUNCT
hjic-750	140	5	183–189	183–189	NUM
hjic-750	140	6	doi:10.1111/1467	doi:10.1111/1467	ADJ
hjic-750	140	7	-	-	SYM
hjic-750	140	8	9884.00122	9884.00122	NUM
hjic-750	141	1	[	[	X
hjic-750	141	2	12	12	NUM
hjic-750	141	3	]	]	X
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hjic-750	141	5	,	,	PUNCT
hjic-750	141	6	d.g	d.g	PROPN
hjic-750	141	7	.	.	PROPN
hjic-750	141	8	;	;	PUNCT
hjic-750	141	9	seier	seier	PROPN
hjic-750	141	10	,	,	PUNCT
hjic-750	141	11	e.	e.	PROPN
hjic-750	141	12	:	:	PUNCT
hjic-750	141	13	a	a	DET
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hjic-750	141	16	normality	normality	NOUN
hjic-750	141	17	with	with	ADP
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hjic-750	141	20	power	power	NOUN
hjic-750	141	21	,	,	PUNCT
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hjic-750	141	23	.	.	PUNCT
hjic-750	142	1	stat	stat	PROPN
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hjic-750	143	1	data	data	PROPN
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hjic-750	143	6	)	)	PUNCT
hjic-750	144	1	,	,	PUNCT
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hjic-750	144	4	:	:	PUNCT
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hjic-750	144	6	/	/	SYM
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hjic-750	144	8	-	-	PUNCT
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hjic-750	144	10	-	-	SYM
hjic-750	144	11	9	9	NUM
hjic-750	144	12	[	[	SYM
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hjic-750	144	14	]	]	SYM
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hjic-750	144	16	,	,	PUNCT
hjic-750	144	17	l.	l.	PROPN
hjic-750	144	18	;	;	PUNCT
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hjic-750	144	20	,	,	PUNCT
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hjic-750	144	22	:	:	PUNCT
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hjic-750	145	1	[	[	X
hjic-750	145	2	14	14	NUM
hjic-750	145	3	]	]	X
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hjic-750	145	5	,	,	PUNCT
hjic-750	145	6	s.s	s.s	PROPN
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hjic-750	145	8	;	;	PUNCT
hjic-750	145	9	wilk	wilk	PROPN
hjic-750	145	10	,	,	PUNCT
hjic-750	145	11	m.b	m.b	PROPN
hjic-750	145	12	.	.	PROPN
hjic-750	145	13	:	:	PUNCT
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hjic-750	145	21	(	(	PUNCT
hjic-750	145	22	complete	complete	ADJ
hjic-750	145	23	samples	sample	NOUN
hjic-750	145	24	)	)	PUNCT
hjic-750	145	25	,	,	PUNCT
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hjic-750	145	27	1965	1965	NUM
hjic-750	145	28	52(3/4	52(3/4	NOUN
hjic-750	145	29	)	)	PUNCT
hjic-750	145	30	,	,	PUNCT
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hjic-750	145	32	doi	doi	NOUN
hjic-750	145	33	:	:	PUNCT
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hjic-750	145	35	/	/	SYM
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hjic-750	145	37	-	-	NOUN
hjic-750	145	38	4.591	4.591	NUM
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hjic-750	145	41	]	]	X
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hjic-750	145	46	:	:	PUNCT
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hjic-750	145	50	of	of	ADP
hjic-750	145	51	the	the	DET
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hjic-750	145	60	)	)	PUNCT
hjic-750	145	61	,	,	PUNCT
hjic-750	146	1	679–681	679–681	NUM
hjic-750	146	2	doi	doi	NOUN
hjic-750	146	3	:	:	PUNCT
hjic-750	146	4	10.1093	10.1093	NUM
hjic-750	146	5	/	/	SYM
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hjic-750	147	1	[	[	X
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hjic-750	147	3	]	]	X
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hjic-750	147	5	,	,	PUNCT
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hjic-750	147	8	;	;	PUNCT
hjic-750	147	9	glynn	glynn	PROPN
hjic-750	147	10	,	,	PUNCT
hjic-750	147	11	w.j	w.j	PROPN
hjic-750	147	12	.	.	PROPN
hjic-750	147	13	:	:	PUNCT
hjic-750	147	14	distribution	distribution	NOUN
hjic-750	147	15	of	of	ADP
hjic-750	147	16	the	the	DET
hjic-750	147	17	kurtosis	kurtosis	NOUN
hjic-750	147	18	statistic	statistic	NOUN
hjic-750	147	19	b2	b2	NOUN
hjic-750	147	20	for	for	ADP
hjic-750	147	21	normal	normal	ADJ
hjic-750	147	22	samples	sample	NOUN
hjic-750	147	23	,	,	PUNCT
hjic-750	147	24	biometrika	biometrika	NOUN
hjic-750	147	25	1983	1983	NUM
hjic-750	147	26	70(1	70(1	NOUN
hjic-750	147	27	)	)	PUNCT
hjic-750	147	28	,	,	PUNCT
hjic-750	147	29	227–234	227–234	NUM
hjic-750	147	30	doi	doi	NOUN
hjic-750	147	31	:	:	PUNCT
hjic-750	147	32	10.1093	10.1093	NUM
hjic-750	147	33	/	/	SYM
hjic-750	147	34	biomet/70.1.227	biomet/70.1.227	PROPN
hjic-750	148	1	[	[	X
hjic-750	148	2	17	17	NUM
hjic-750	148	3	]	]	X
hjic-750	148	4	jarque	jarque	NOUN
hjic-750	148	5	,	,	PUNCT
hjic-750	148	6	c.m	c.m	PROPN
hjic-750	148	7	.	.	PROPN
hjic-750	148	8	;	;	PUNCT
hjic-750	148	9	bera	bera	NOUN
hjic-750	148	10	,	,	PUNCT
hjic-750	148	11	a.k	a.k	PROPN
hjic-750	148	12	.	.	PUNCT
hjic-750	148	13	:	:	PUNCT
hjic-750	148	14	efficient	efficient	ADJ
hjic-750	148	15	tests	test	NOUN
hjic-750	148	16	for	for	ADP
hjic-750	148	17	normality	normality	NOUN
hjic-750	148	18	,	,	PUNCT
hjic-750	148	19	homoscedasticity	homoscedasticity	NOUN
hjic-750	148	20	and	and	CCONJ
hjic-750	148	21	serial	serial	ADJ
hjic-750	148	22	independence	independence	NOUN
hjic-750	148	23	of	of	ADP
hjic-750	148	24	regression	regression	NOUN
hjic-750	148	25	residuals	residual	NOUN
hjic-750	148	26	,	,	PUNCT
hjic-750	148	27	economic	economic	ADJ
hjic-750	148	28	letters	letter	NOUN
hjic-750	148	29	1980	1980	NUM
hjic-750	148	30	6(3	6(3	NUM
hjic-750	148	31	)	)	PUNCT
hjic-750	148	32	,	,	PUNCT
hjic-750	148	33	255–259	255–259	NUM
hjic-750	148	34	doi	doi	NOUN
hjic-750	148	35	:	:	PUNCT
hjic-750	148	36	10.1016/0165	10.1016/0165	NUM
hjic-750	148	37	-	-	SYM
hjic-750	148	38	1765(80)90024	1765(80)90024	NUM
hjic-750	148	39	-	-	SYM
hjic-750	148	40	5	5	NUM