Shapes of distribution - Revision history

Admin at 15:01, 2 December 2019

2019-12-02T15:01:11Z

2019-11-19T22:31:42Z

2019-11-18T18:19:57Z

2019-11-18T18:17:13Z

2019-11-18T18:16:04Z

‎Kurtosis

2019-11-17T01:02:40Z

‎Kurtosis

2019-11-17T00:55:21Z

‎Kurtosis

2019-11-17T00:55:04Z

‎Kurtosis

2019-11-17T00:37:32Z

‎Kurtosis

2019-11-17T00:37:09Z

‎Kurtosis

← Older revision		Revision as of 15:01, 2 December 2019
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−	~~Contribution~~ by: Britany Kuslis, WCSU Cohort 8	+	''contributed by Britany Kuslis, WCSU Cohort 8''

	Reference:		Reference:

← Older revision		Revision as of 22:31, 19 November 2019
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	[[File:kurtosis.jpg]]		[[File:kurtosis.jpg]]

−	Ashley Brooksbank	+	''contributed by Ashley Brooksbank''

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 -----------------------------
-Leptokurtic
+Leptokurtic (high, peaky line)
-Platykurtic
+Platykurtic (lower, flatter line)
 Acceptable kurtosis values : <big>-1.000 < kurtosis < 1.000 </big>

@@ Line 55: / Line 55: @@
 Acceptable kurtosis values : <big>-1.000 < kurtosis < 1.000 </big>
-[[File:kurtosis.jpeg]]
+[[File:kurtosis.jpg]]
 Ashley Brooksbank

← Older revision		Revision as of 18:16, 18 November 2019
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	Acceptable kurtosis values : <big>-1.000 < kurtosis < 1.000 </big>		Acceptable kurtosis values : <big>-1.000 < kurtosis < 1.000 </big>
		+	[[File:kurtosis.jpeg]]

−		+	Ashley Brooksbank

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 == Kurtosis ==
-Kurtosis describes “the clustering of scores toward the center of the distribution” (Lawrence, Gamst, & Guarino, 2017, p. 53).
+Kurtosis describes “the clustering of scores toward the center of the distribution” (Meyers, Gamst, & Guarino, 2017, p. 53).
@@ Line 41: / Line 41: @@
 . Leptokurtic: Positive values of kurtosis; indicate that the bulk of scores are drawn in toward the middle (sharply peaked with heavy tails, for instance).
-. Platykurtic: Negative values of kurtosis; scores are more equally distributed across the entire continuum (a more rectangular distribution). (Lawrence, Gamst, & Guarino, 2017, p. 53).
+. Platykurtic: Negative values of kurtosis; scores are more equally distributed across the entire continuum (a more rectangular distribution). (Meyers, Gamst, & Guarino, 2017, p. 53).
@@ Line 47: / Line 47: @@
 Reference:
-Lawrence, S., Gamst, G, & Guarino, A.J. (2017). ''Applied multivariate research: Design and interpretation''. Thousand Oaks, CA: Sage Publications
+Meyers, L., Gamst, G., & Guarino, A.J. (2017). ''Applied multivariate research: Design and interpretation''. Thousand Oaks, CA: Sage Publications

← Older revision		Revision as of 00:55, 17 November 2019
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	Kurtosis describes “the clustering of scores toward the center of the distribution” (Lawrence, Gamst, & Guarino, 2017, p. 53).		Kurtosis describes “the clustering of scores toward the center of the distribution” (Lawrence, Gamst, & Guarino, 2017, p. 53).
		+

	There are three types of kurtosis:		There are three types of kurtosis:

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 . Mesokurtic: A normal distribution; has a kurtosis value of 0.
 . Leptokurtic: Positive values of kurtosis; indicate that the bulk of scores are drawn in toward the middle (sharply peaked with heavy tails, for instance).
 . Platykurtic: Negative values of kurtosis; scores are more equally distributed across the entire continuum (a more rectangular distribution). (Lawrence, Meyer, & Guarino, 2017, p. 53).