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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

Wed, 21 Dec 2016 21:31:33 +0100

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/2016/Dec/21/t1482352321w1yt563hg9xcabe.htm/, Retrieved Mon, 20 Apr 2026 23:55:16 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=302494, Retrieved Mon, 20 Apr 2026 23:55:16 +0000

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Original text written by user:

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No (this computation is public)

User-defined keywords

Estimated Impact

279

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

-       [Skewness and Kurtosis Test] [kurtosis en skewness] [2016-12-21 20:31:33] [6f830dc7e8de22be3233942ffbe3aaba] [Current]

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-1.893
2.514
0.141
0.624
-1.376
3.18
-1.82
2.216
-1.784
-1.894
2.106
-0.376
3.624
1.699
-1.376
-2.894
3.624
-0.2662
-0.7844
-0.4859
-6.376
2.514
2.624
-0.7844
-1.6
1.624
0.624
2.216
0.2156
-1.858
2.29
3.514
-11.78
2.773
-0.8942
-1.376
-0.1915
1.844
-0.8942
-1.376
0.1058
-1.893
3.216
2.624
-9.674
-3.784
-0.376
0.1422
1.106
1.031
-0.5605
1.327
2.734
-0.1563
2.624
-3.56
-0.376
-3.376
-4.894
0.5141
0.5494
0.5141
-0.376
-0.2268
-2.894
-0.2662
-3.156
-0.4859
-2.376
3.624
-3.968
-3.192
1.44
-2.376
2.18
1.734
-2.156
1.106
2.216
-0.5635
-2.784
0.5141
2.216
-3.969
2.216
1.106
3.624
-1.486
-0.6692
-1.376
3.141
-1.784
2.141
1.624
1.624
-1.451
3.106
0.5141
1.216
2.624
3.844
-3.376
0.2156
-1.376
-0.7844
1.624
1.624
-2.376
-0.9677
-4.376
1.217
-2.894
1.624
0.5141
0.2156
3.514
-0.2662
-2.376
-1.266
1.624
3.624
0.2156
0.624
0.5141
0.2156
-1.376
0.624
2.327
0.624
3.549
-1.192
0.3267
-1.376
1.216
-1.376
1.031
3.141
2.808
-2.266
-0.376
-0.8578
0.141
1.844
3.031
0.6986
1.624
-0.7832
-0.376
-5.486
-1.376
2.252
0.624
-0.8942
-3.968
2.624
1.106
-1.376
0.03117
2.734
1.624
2.624
-0.1915
-0.376
0.03232
-2.266

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	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302494&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

0 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=302494&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302494&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	Big Analytics Cloud Computing Center

Skewness and Kurtosis Test
> agostino D'Agostino skewness test data: x skew = -1.2034, z = -5.3619, p-value = 8.234e-08 alternative hypothesis: data have a skewness
> anscombe Anscombe-Glynn kurtosis test data: x kurt = 6.4583, z = 4.3669, p-value = 1.26e-05 alternative hypothesis: kurtosis is not equal to 3
> jarque Jarque-Bera Normality Test data: x JB = 122.05, p-value < 2.2e-16 alternative hypothesis: greater
> geary [1] 0.7612119

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -1.2034, z = -5.3619, p-value = 8.234e-08
alternative hypothesis: data have a skewness
 \tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 6.4583, z = 4.3669, p-value = 1.26e-05
alternative hypothesis: kurtosis is not equal to 3
 \tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 122.05, p-value < 2.2e-16
alternative hypothesis: greater
 \tabularnewline
> geary
[1] 0.7612119
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302494&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]> agostino
	D'Agostino skewness test
data:  x
skew = -1.2034, z = -5.3619, p-value = 8.234e-08
alternative hypothesis: data have a skewness
[/C][/ROW]
[ROW][C]> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 6.4583, z = 4.3669, p-value = 1.26e-05
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW]
[ROW][C]> jarque
	Jarque-Bera Normality Test
data:  x
JB = 122.05, p-value < 2.2e-16
alternative hypothesis: greater
[/C][/ROW]
[ROW][C]> geary
[1] 0.7612119
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302494&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302494&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 = -1.2034, z = -5.3619, p-value = 8.234e-08 alternative hypothesis: data have a skewness
> anscombe Anscombe-Glynn kurtosis test data: x kurt = 6.4583, z = 4.3669, p-value = 1.26e-05 alternative hypothesis: kurtosis is not equal to 3
> jarque Jarque-Bera Normality Test data: x JB = 122.05, p-value < 2.2e-16 alternative hypothesis: greater
> geary [1] 0.7612119

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