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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, 21 Dec 2011 16:32:53 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/21/t132450317863mqvlbbg7kjpnm.htm/, Retrieved Tue, 07 May 2024 23:34:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159062, Retrieved Tue, 07 May 2024 23:34:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94

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] [WS10: kurtosis3] [2011-12-15 16:48:11] [17977ad44e8eb3a4dcd5a9173c81cab3]
- R  D  [Skewness and Kurtosis Test] [] [2011-12-21 20:31:58] [3931071255a6f7f4a767409781cc5f7d]
-           [Skewness and Kurtosis Test] [] [2011-12-21 21:32:53] [5f9ad3d6882448a3cbf5628cc61fe2a1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30
28
38
30
22
26
25
18
11
26
25
38
44
30
40
34
47
30
31
23
36
36
30
25
39
34
31
31
33
25
33
35
42
43
30
33
13
32
36
0
28
14
17
32
30
35
20
28
28
39
34
26
39
39
33
28
4
39
18
14
29
44
21
16
28
35
28
38
23
36
32
29
25
27
36
28
23
40
23
40
28
34
33
28
34
30
33
22
38
26
35
8
24
29
20
29
45
37
33
33
25
32
29
28
28
31
52
21
24
41
33
32
19
20
31
31
32
18
23
17
20
12
17
30
31
10
13
22
42
1
9
32
11
25
36
31
0
24
13
8
13
19
18
33
40
22
38
24
8
35
43
43
14
41
38
45
31
13
28
31
40
30
16
37
30
35
32
27
20
18
31
31
21
39
41
13
32
18
39
14
7
17
0
30
37
0
5
1
16
32
24
17
11
24
22
12
19
13
17
15
16
24
15
17
18
20
16
16
18
22
8
17
18
16
23
22
13
13
16
16
20
22
17
18
17
12
7
17
14
23
17
14
15
17
21
18
18
17
17
16
15
21
16
14
15
17
15
15
10
6
22
21
1
18
17
4
10
16
16
9
16
17
7
15
14
14
18
12
16
21
19
16
1
16
10
19
12
2
14
17
19
14
11
4
16
20
12
15
16

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159062&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159062&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159062&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x 
skew = 0.0733, z = 0.3428, p-value = 0.7318
alternative hypothesis: data have a skewness 

> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.4052, z = -2.8284, p-value = 0.004677
alternative hypothesis: kurtosis is not equal to 3 

> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 4.5181, p-value = 0.1044
alternative hypothesis: greater 

> geary
[1] 0.8444714


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

> agostino
	D'Agostino skewness test
data:  x 
skew = 0.0733, z = 0.3428, p-value = 0.7318
alternative hypothesis: data have a skewness 

 \tabularnewline

> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.4052, z = -2.8284, p-value = 0.004677
alternative hypothesis: kurtosis is not equal to 3 

 \tabularnewline

> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 4.5181, p-value = 0.1044
alternative hypothesis: greater 

 \tabularnewline

> geary
[1] 0.8444714

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159062&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x 
skew = 0.0733, z = 0.3428, p-value = 0.7318
alternative hypothesis: data have a skewness 

[/C][/ROW]
[ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.4052, z = -2.8284, p-value = 0.004677
alternative hypothesis: kurtosis is not equal to 3 

[/C][/ROW]
[ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 4.5181, p-value = 0.1044
alternative hypothesis: greater 

[/C][/ROW]
[ROW][C]
> geary
[1] 0.8444714

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159062&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159062&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 = 0.0733, z = 0.3428, p-value = 0.7318
alternative hypothesis: data have a skewness 

> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.4052, z = -2.8284, p-value = 0.004677
alternative hypothesis: kurtosis is not equal to 3 

> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 4.5181, p-value = 0.1044
alternative hypothesis: greater 

> geary
[1] 0.8444714


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')