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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_skewness_kurtosis.wasp
Title produced by softwareSkewness and Kurtosis Test
Date of computationWed, 17 Dec 2014 11:43:30 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/17/t141881662677dwt5rjbciamoj.htm/, Retrieved Mon, 20 Apr 2026 06:51:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270060, Retrieved Mon, 20 Apr 2026 06:51:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact264

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Skewness and Kurtosis Test] [] [2014-12-17 11:43:30] [f235c2d73cdbd6a2c0ce149cb9653e7d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.16085
2.51209
2.25655
-4.40015
-2.94585
-0.756524
2.7195
2.1541
-1.45122
-3.08911
-0.998573
-4.42949
1.20911
-1.22191
-3.25737
0.730284
-0.100121
-0.924133
-2.09647
1.09102
1.8769
-0.0397394
-0.126022
-1.05052
2.08833
1.89561
-0.580717
1.26243
-1.00983
1.12046
-1.59733
-2.73112
0.00793088
-0.155684
-0.0654249
1.61797
-2.76686
0.067343
-3.55663
0.302895
2.98114
0.157188
3.3209
-1.29816
1.84412
-2.8116
3.10218
2.62924
0.717077
-2.2379
1.48566
1.12239
2.87617
-0.013942
-4.8702
3.71548
-0.803933
2.11503
-2.36412
2.33706
-1.5745
3.44978
-1.14656
-0.658341
-1.42941
0.938925
2.50971
1.64797
-0.300007
1.15569
2.83339
1.36396
0.309699
1.54175
1.30022
-0.369096
-1.88715
-0.437025
2.51409
-0.114875
-4.7274
-1.63109
0.00406303
0.403099
0.471862
-2.20643
2.87352
2.61814
-3.34894
-0.604305
-1.3926
-2.15336
-0.678212
-3.639
2.05498
4.07254
-2.60589
0.877642
-1.02896
-1.048
3.41874
-2.98196
2.92299
-3.07667
-0.692508
0.247301
1.47584

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270060&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270060&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270060&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = -0.2334, z = -0.6816, p-value = 0.4955
alternative hypothesis: data have a skewness

> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.2986, z = -2.0015, p-value = 0.04534
alternative hypothesis: kurtosis is not equal to 3

> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.1654, p-value = 0.2054
alternative hypothesis: greater

> geary
[1] 0.8255648


\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline

> agostino
	D'Agostino skewness test
data:  x
skew = -0.2334, z = -0.6816, p-value = 0.4955
alternative hypothesis: data have a skewness

 \tabularnewline

> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.2986, z = -2.0015, p-value = 0.04534
alternative hypothesis: kurtosis is not equal to 3

 \tabularnewline

> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.1654, p-value = 0.2054
alternative hypothesis: greater

 \tabularnewline

> geary
[1] 0.8255648

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270060&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = -0.2334, z = -0.6816, p-value = 0.4955
alternative hypothesis: data have a skewness

[/C][/ROW]
[ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.2986, z = -2.0015, p-value = 0.04534
alternative hypothesis: kurtosis is not equal to 3

[/C][/ROW]
[ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.1654, p-value = 0.2054
alternative hypothesis: greater

[/C][/ROW]
[ROW][C]
> geary
[1] 0.8255648

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270060&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270060&T=1

As an alternative you can also use a QR Code:  
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 = -0.2334, z = -0.6816, p-value = 0.4955
alternative hypothesis: data have a skewness

> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.2986, z = -2.0015, p-value = 0.04534
alternative hypothesis: kurtosis is not equal to 3

> jarque
	Jarque-Bera Normality Test
data:  x
JB = 3.1654, p-value = 0.2054
alternative hypothesis: greater

> geary
[1] 0.8255648


Figures (Output of Computation)

Input Parameters & R Code

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')