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Author*The author of this computation has been verified*
R Software Modulerwasp_skewness_kurtosis.wasp
Title produced by softwareSkewness and Kurtosis Test
Date of computationTue, 16 Dec 2014 09:47:07 +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/16/t14187232468jy2v5h9ba37rv3.htm/, Retrieved Thu, 16 May 2024 11:50:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269225, Retrieved Thu, 16 May 2024 11:50:08 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Skewness and Kurtosis Test] [Paper 13 assumpt 2] [2014-12-16 09:47:07] [7919944b2c0818d4401807e8f8057775] [Current]
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Dataseries X:
1.00076
1.87152
-1.64229
-1.55306
-3.64229
-5.18691
10.9332
-3.18691
-0.562267
-4.19611
0.902325
-2.33456
-5.13769
0.991555
8.5362
8.85311
-5.95923
1.30849
-3.37457
-3.04846
-2.51305
5.44694
5.21005
4.14842
7.93316
-3.64229
-1.01762
0.853106
-2.09768
-3.60228
-3.82996
6.25927
-1.09768
5.63461
-0.146894
-4.41458
-4.90998
-1.60228
0.35771
-1.41458
-4.04846
-2.13769
-4.70989
0.853106
2.25927
-0.316147
3.85311
-0.0976754
-2.12848
3.81309
1.35771
0.0315951
-0.146894
1.29928
-4.10688
-4.04846
0.339325
9.18843
0.96075
-2.14689
3.30849
-2.08847
11.2285
-3.14689
0.0808133
0.0499794
8.95154
6.76388
6.81309
-2.09768
2.80389
-2.04846
1.72386
-3.99003
1.13924
-3.18691
5.71466
1.04998
-4.69151
-2.82996
-3.14689
-0.64229
-3.18691
-3.14689
0.813095
0.0716067
-2.74073
-4.14689
-1.82075
-3.54385
2.04998
-7.51302
2.26848
3.48695
0.763876
-4.59307
-1.14689
-1.09768
1.04998
-0.346981
-0.633084
-3.74073
-2.14689
0.148416
-0.0576638
-1.32535
3.66544
1.36692
1.76388
0.26848
-3.08847
2.90232
1.70224




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269225&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269225&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269225&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = 0.8739, z = 2.3420, p-value = 0.01918
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.5031, z = 1.2783, p-value = 0.2012
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 15.5764, p-value = 0.0004146
alternative hypothesis: greater
> geary
[1] 0.7742148

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = 0.8739, z = 2.3420, p-value = 0.01918
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.5031, z = 1.2783, p-value = 0.2012
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 15.5764, p-value = 0.0004146
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.7742148
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=269225&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = 0.8739, z = 2.3420, p-value = 0.01918
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.5031, z = 1.2783, p-value = 0.2012
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 15.5764, p-value = 0.0004146
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.7742148
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=269225&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269225&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 = 0.8739, z = 2.3420, p-value = 0.01918
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.5031, z = 1.2783, p-value = 0.2012
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 15.5764, p-value = 0.0004146
alternative hypothesis: greater
> geary
[1] 0.7742148



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')