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Author

*The author of this computation has been verified*

R Software Module

rwasp_skewness_kurtosis.wasp

Title produced by software

Skewness and Kurtosis Test

Date of computation

Sat, 28 Nov 2015 10:35:57 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Nov/28/t14487069794ezzu768qmti33e.htm/, Retrieved Wed, 31 Dec 2025 09:17:06 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=284347, Retrieved Wed, 31 Dec 2025 09:17:06 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

305

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Multiple Regression] [multiple regression] [2015-11-27 09:58:54] [7f0b4e0465c416ccc680332e4c4dca5e]
- RMPD  [] [central tendency] [-0001-11-30 00:00:00] [74be16979710d4c4e7c6647856088456]
- RM D      [Skewness and Kurtosis Test] [skewness en kurtosis] [2015-11-28 10:35:57] [002d4648fc88037d8570a4a28cacbbc2] [Current]

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Dataseries X:

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Histogram

Boxplots

6.5
6.8
6.8
6.5
6.2
6.2
6.6
6.7
6.5
6.4
6.5
6.8
7.1
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7.1
7
6.9
6.9
7.4
7.3
7
6.8
6.5
6.4
6.3
6
5.9
5.7
5.7
5.7
6.2
6.4
6.2
6.2
6.1
6.1
6.2
6.1
6.1
6.2
6.2
6.2
6.4
6.4
6.4
6.7
6.9
7.1
7.3
7.2
7.1
6.9
6.8
6.7
7.2
7.2
7.1
7.1
7
7.1
7.3
7.2
7.1
7
6.9
7
7.5
7.6
7.5
7.3
7.3
7.4
7.7
7.8
7.7
7.5
7.3
7.3
7.6
7.6

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=284347&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=284347&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284347&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Skewness and Kurtosis Test
> agostino D'Agostino skewness test data: x skew = -0.18115, z = -0.70865, p-value = 0.4785 alternative hypothesis: data have a skewness
> anscombe Anscombe-Glynn kurtosis test data: x kurt = 2.0958, z = -2.6209, p-value = 0.00877 alternative hypothesis: kurtosis is not equal to 3
> jarque Jarque-Bera Normality Test data: x JB = 3.1628, p-value = 0.2057 alternative hypothesis: greater
> geary [1] 0.8538106

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.18115, z = -0.70865, p-value = 0.4785
alternative hypothesis: data have a skewness
 \tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.0958, z = -2.6209, p-value = 0.00877
alternative hypothesis: kurtosis is not equal to 3
 \tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.1628, p-value = 0.2057
alternative hypothesis: greater
 \tabularnewline
> geary
[1] 0.8538106
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=284347&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]> agostino
	D'Agostino skewness test
data:  x
skew = -0.18115, z = -0.70865, p-value = 0.4785
alternative hypothesis: data have a skewness
[/C][/ROW]
[ROW][C]> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.0958, z = -2.6209, p-value = 0.00877
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW]
[ROW][C]> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.1628, p-value = 0.2057
alternative hypothesis: greater
[/C][/ROW]
[ROW][C]> geary
[1] 0.8538106
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=284347&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284347&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Skewness and Kurtosis Test
> agostino D'Agostino skewness test data: x skew = -0.18115, z = -0.70865, p-value = 0.4785 alternative hypothesis: data have a skewness
> anscombe Anscombe-Glynn kurtosis test data: x kurt = 2.0958, z = -2.6209, p-value = 0.00877 alternative hypothesis: kurtosis is not equal to 3
> jarque Jarque-Bera Normality Test data: x JB = 3.1628, p-value = 0.2057 alternative hypothesis: greater
> geary [1] 0.8538106

Parameters (Session):

Parameters (R input):

R code (references can be found in the software module):

library(moments)
agostino <- agostino.test(x)
anscombe <- anscombe.test(x)
geary <- geary(x)
jarque <- jarque.test(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Skewness and Kurtosis Test',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('',RC.texteval('agostino'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('',RC.texteval('anscombe'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('',RC.texteval('jarque'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('',RC.texteval('geary'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

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Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code