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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 computationFri, 07 Dec 2018 16:52:09 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2018/Dec/07/t1544202717rqa85nahfvot3d5.htm/, Retrieved Tue, 30 Apr 2024 01:56:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315801, Retrieved Tue, 30 Apr 2024 01:56:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Skewness and Kurtosis Test] [onderzoeksvraag 3] [2018-12-07 15:52:09] [2798cb2ba7c98983ee6ef359c139afa6] [Current]
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Dataseries X:
0.7
0.7
0.7
0.7
0.7
0.7
0.6
0.8
0.88
0.72
0.7
0.75
0.75
0.75
0.65
0.75
0.75
0.75
0.7
0.7
0.6
0.7
0.7
0.7
0.7
0.85
0.73
0.64
0.66
0.7
0.7
0.7
0.7
0.7
0.75
0.7
0.73
0.7
0.72
0.72
0.72
0.72
0.75
0.72
0.72
0.72
0.68
0.72
0.7
0.77
0.75
0.7
0.7
0.83
0.78
0.83
0.74
0.74
0.74
0.73
0.72
0.72
0.64
0.88
0.7
0.86
0.72
0.7
0.78
0.75
0.65
0.71
0.7
0.7
0.7
0.82
0.82
0.7
0.75
0.75
0.75
0.75
0.75
0.75
0.75
0.75
0.75
0.75
0.7
0.7
0.7
0.7
0.72
0.75
0.85
0.8
0.7
0.72
0.68
0.72
0.72
0.75
0.77
0.75
0.75
0.7
0.7
0.72
0.7
0.71
0.71
0.7
0.7
0.7
0.7
0.6
0.78
0.7
0.75
0.7
0.7
0.7
0.72
0.8
0.65
0.65
0.65
0.65
0.72
0.72
0.7
0.7
0.73
0.7
0.72
0.7
0.7
0.75
0.82
0.7
0.7
0.65
0.65
0.7
0.75
0.68
0.8
0.8
0.68
0.72
0.7
0.77
0.71
0.71
0.71
0.71
0.65
0.75
0.8
0.7
0.7
0.61
0.77
0.735
0.8
0.75
1
0.75
0.8
0.7
0.78
0.85
0.72
0.7
0.72
0.7
0.72
0.72
0.72
0.62
0.72
0.72
0.7
0.83
0.75
0.65
0.67
0.64
0.75
0.7
0.7
0.7
0.7
0.75
0.7
0.7
0.75
0.6
0.72
0.7
0.7
0.58
0.7
0.66
0.6
0.77
0.78
0.72
0.8
0.72
0.75
0.72
0.88
1
0.7
0.7
0.7
0.7
0.6
0.7
0.7
0.7
0.7
0.7
0.7
0.75
0.7
0.7
0.7
0.76
0.72
0.71
0.82
0.7
0.7
0.7
0.68
0.605
0.7
0.74
0.58
0.61
0.7
0.78
0.8
0.7
0.8
0.74
0.7
0.81
0.72
0.55
0.8
0.76
0.58
0.64
0.65
0.72
0.67
0.8
0.6
0.65
0.7
0.7
0.74
0.69
0.69
0.74
0.7
0.7
0.74
0.74
0.76
0.7
0.8
0.7
0.7
0.65
0.7
0.66
0.65
0.7
0.7
0.8
0.75
0.72
0.82
0.6
0.71
0.64
0.65
0.65
0.65
0.55
0.7
0.57
0.74
0.74
0.7
0.72
0.75
0.66
0.7
0.7
0.7
1
0.75
0.8
0.72
0.65
0.65
0.7
0.8
0.72
0.7
0.7
0.7
0.7
0.72
0.72
0.72
0.72
0.74
0.72
0.7
0.72
0.72
0.72
0.72
0.7
0.71
0.63
0.7
0.7
0.65
0.6
0.72
0.72
0.9
0.7
0.725
0.725
0.68
0.75
0.64
0.7
0.68
0.68
0.75
0.75
0.75
0.75
0.8
0.75
0.75
0.72
0.7
0.71
0.7
0.65
0.68
0.68
0.67
0.7
0.63
0.75
0.7
0.7
0.75
0.73
0.65
0.7
0.7
0.75
0.7
0.7
0.68
0.85
0.68
0.7
0.75
0.76
0.72
0.7
0.78
0.8
0.74
0.65
0.73
0.76
0.7
0.81
0.7
0.81
0.72
0.68
0.74
0.7
0.7
0.82
0.63
0.7
0.8
0.72
0.72
0.7
0.66
0.67
0.7
0.65
0.8
0.7
0.8
0.75
0.7
0.73
0.72
0.67
0.8
0.71
0.7
0.75
0.735
0.7
0.7
0.67
0.73
0.75
0.71
0.72
0.72
0.72
0.72
0.75
0.75
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.75
0.7
0.7
0.72
0.8
0.7
0.66
0.74
0.72
0.72
0.7
0.75
0.6
0.72
0.7
0.72
0.78
0.7
0.75
0.67
0.7
0.7
0.73
0.64
0.7
0.75
0.75
0.85
0.72
0.72
0.72
0.72
0.72
0.72
0.8
0.73
0.73
0.82
0.75
0.75
1
0.75
0.75
0.75
0.75
0.75
0.75
0.75
0.75
0.75
0.75
0.75
0.75
0.75
0.75
0.7
0.74
0.75
0.72
0.7
0.74
0.75
0.75
0.73
0.75
0.75
0.75
0.75
0.75
0.68
0.66
0.8
0.7
0.75
0.75
0.7
0.7
0.7
0.7
0.76
0.72
0.73
0.77
0.64
0.7
0.7
0.7
0.68
0.65
0.72
0.7
0.72
0.73
0.77
0.75
0.75
0.67
0.65
0.6
1
0.67
0.73
0.7
0.7
0.7
0.7
0.65
0.7
0.7
0.7
0.67
0.68
0.72
0.7
0.7
0.7
0.7
0.7
0.7
0.77
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.85
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.72
0.7
0.7
0.68
0.67
0.78
0.88
0.7
0.7
0.7
0.7
0.7
0.7
0.6
0.77
0.7
0.68
0.62
0.7
0.7
0.7
0.7
0.67
0.73
0.65
0.65
0.84
0.7
0.77
0.75
0.6
0.72
0.65
0.64
0.68
0.65
0.85
0.71
0.66
0.64
0.64
0.72
0.65
0.72
0.76
0.8
0.7
0.68
0.64
0.75
0.7
0.77
0.77
0.77
0.7
0.72
0.75
0.89
0.75
0.75
0.88
0.71
0.72
0.74
0.7
0.7
0.7
0.7
0.85
0.78
0.66
0.68
0.65
0.65




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig 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=315801&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=315801&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315801&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 Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = 1.1191, z = 9.7206, p-value < 2.2e-16
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 7.8206, z = 8.8066, p-value < 2.2e-16
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 772.1, p-value < 2.2e-16
alternative hypothesis: greater
> geary
[1] 0.6874364

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = 1.1191, z = 9.7206, p-value < 2.2e-16
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 7.8206, z = 8.8066, p-value < 2.2e-16
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 772.1, p-value < 2.2e-16
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.6874364
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=315801&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = 1.1191, z = 9.7206, p-value < 2.2e-16
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 7.8206, z = 8.8066, p-value < 2.2e-16
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 772.1, p-value < 2.2e-16
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.6874364
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=315801&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315801&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 = 1.1191, z = 9.7206, p-value < 2.2e-16
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 7.8206, z = 8.8066, p-value < 2.2e-16
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 772.1, p-value < 2.2e-16
alternative hypothesis: greater
> geary
[1] 0.6874364



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')