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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 computationWed, 17 Dec 2014 10:09:26 +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/t1418811411do6ifsyzrs7uoyq.htm/, Retrieved Thu, 16 May 2024 07:41:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270018, Retrieved Thu, 16 May 2024 07:41:38 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-01 13:17:22] [b98453cac15ba1066b407e146608df68]
- RMP   [Paired and Unpaired Two Samples Tests about the Mean] [] [2014-10-21 07:53:37] [32b17a345b130fdf5cc88718ed94a974]
- RMPD      [Skewness and Kurtosis Test] [] [2014-12-17 10:09:26] [6993448de96b8662e47595bfdf466bf3] [Current]
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Dataseries X:
7
20
9
19
12
16
17
9
28
20
16
22
17
12
18
20
12
16
16
21
15
17
17
17
18
15
20
13
21
12
6
13
19
12
14
13
12
17
19
10
10
11
11
10
7
22
12
18
20
9
16
14
11
20
17
14
8
16
11
10
15
15
10
10
18
10
22
16
10
7
16
16
16
22
5
18
10
8
16
8
16
14
15
9
21
7
17
18
16
16
14
15
8
22
5
13
22
18
15
11
19
19
21
4
17
10
13
15
11
20
13
18
20
15
4
9
18
12
17
12
16
17
14
13
20
16
15
10
16
21
15
16
19
9
19
7
23
14
10
16
12
10
7
20
9
12
10
19
11
15
14
11
14
15
7
22
19
22
11
19
9
11
17
12
17
10
17
13
11
19
21
24
13
16
13
15
15
11
7
13
13
12
8
7
17
9
18
17
17
18
12
14
22
19
21
10
16
11
15
12
21
22
20
15
9
15
14
11
9
12
11
14
10
18
11
14
16
11
16
13
12
17
23
14
10
16
11
16
19
17
12
17
11
19
12
8
17
13
17
7
23
18
13
17
13
8
16
14
13
19
15
15
8
14
7
11
17
19
17
12
12
18
16
15
20
16
12
10
28
19
18
19
8
17
16
18
12
17
13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270018&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270018&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270018&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = 0.0593, z = 0.2728, p-value = 0.785
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.6859, z = -1.0931, p-value = 0.2743
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.3104, p-value = 0.5193
alternative hypothesis: greater
> geary
[1] 0.826703

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = 0.0593, z = 0.2728, p-value = 0.785
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.6859, z = -1.0931, p-value = 0.2743
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.3104, p-value = 0.5193
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.826703
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=270018&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = 0.0593, z = 0.2728, p-value = 0.785
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.6859, z = -1.0931, p-value = 0.2743
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.3104, p-value = 0.5193
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.826703
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=270018&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270018&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 = 0.0593, z = 0.2728, p-value = 0.785
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.6859, z = -1.0931, p-value = 0.2743
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.3104, p-value = 0.5193
alternative hypothesis: greater
> geary
[1] 0.826703



Parameters (Session):
par1 = 0 ; par2 = no ; par3 = 512 ;
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')