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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 19:11:14 +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/t1418843484v2u2vjvne8mg5n9.htm/, Retrieved Thu, 16 May 2024 03:51:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270587, Retrieved Thu, 16 May 2024 03:51:30 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Skewness and Kurtosis Test] [] [2014-11-04 10:14:29] [32b17a345b130fdf5cc88718ed94a974]
- R  D  [Skewness and Kurtosis Test] [] [2014-12-15 18:55:31] [6656361aa4da5489a6a45e803df0211c]
-    D      [Skewness and Kurtosis Test] [] [2014-12-17 19:11:14] [457d039f1491608548baeb848eb0333c] [Current]
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Dataseries X:
-2,10474
-3,58671
-1,60138
-4,19181
-0,287994
-4,34614
-4,39097
-7,86624
-2,00419
0,404877
-0,649392
-2,66468
3,96908
3,32335
5,61236
-0,39219
-2,01699
3,06183
-1,83113
-1,63003
2,54664
1,01801
3,39287
-0,0492666
-1,28135
3,84466
-2,81841
-0,809796
0,969593
1,37996
3,1944
0,126517
5,61287
1,0213
1,49873
-4,36245
0,709693
-1,66996
0,281807
4,14557
2,18327
2,73253
-0,556159
-0,650341
2,13572
-2,94076
2,77612
2,88435
1,2155
3,34778
3,35814
-3,09134
-3,30645
1,7265
-1,48888
-6,64536
-4,19244
-1,9244
-2,50885
-1,10488
-3,70346
-3,76905
-3,63254
-0,896259
-3,09049
-1,10779
-4,4627
-5,65743
-3,56552
0,304758
-0,222915
-1,48491
4,12497
-0,707829
1,37128
1,85254
5,29851
2,39675
0,420814
-0,73879
-0,749578
-1,87517
2,04715
2,43286
1,14751
5,07858
-6,61884
1,40849
-0,674143
-1,43258
3,36
5,56938
6,45432
1,76743
5,17354
4,58216
3,16513
-1,08839
2,18179
1,86589
-1,26842
-3,94909
-0,816292




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=270587&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=270587&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270587&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'Gertrude Mary Cox' @ cox.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = -0.0873, z = -0.2529, p-value = 0.8004
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.4855, z = -1.1616, p-value = 0.2454
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.2668, p-value = 0.5308
alternative hypothesis: greater
> geary
[1] 0.8288863

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.0873, z = -0.2529, p-value = 0.8004
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.4855, z = -1.1616, p-value = 0.2454
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.2668, p-value = 0.5308
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.8288863
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=270587&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = -0.0873, z = -0.2529, p-value = 0.8004
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.4855, z = -1.1616, p-value = 0.2454
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.2668, p-value = 0.5308
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.8288863
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=270587&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270587&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 = -0.0873, z = -0.2529, p-value = 0.8004
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.4855, z = -1.1616, p-value = 0.2454
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.2668, p-value = 0.5308
alternative hypothesis: greater
> geary
[1] 0.8288863



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')