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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 computationWed, 17 Dec 2014 12:59:02 +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/t1418821287f5u40xsfgav2152.htm/, Retrieved Thu, 31 Oct 2024 23:10:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270157, Retrieved Thu, 31 Oct 2024 23:10:17 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Testing Mean with unknown Variance - Critical Value] [] [2010-10-25 13:12:27] [b98453cac15ba1066b407e146608df68]
- RMP   [Testing Mean with unknown Variance - Critical Value] [] [2014-10-07 07:47:40] [32b17a345b130fdf5cc88718ed94a974]
- RMPD    [ARIMA Backward Selection] [] [2014-12-15 13:21:35] [1764622206627ac897c737076a0cb4c8]
- R P       [ARIMA Backward Selection] [] [2014-12-15 13:27:30] [32b17a345b130fdf5cc88718ed94a974]
- RMPD          [Skewness and Kurtosis Test] [] [2014-12-17 12:59:02] [baa7d013c3374cabca6c222951a47a9f] [Current]
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Dataseries X:
1.82739
0.264705
-3.47755
-2.766
-0.319407
2.06088
2.56481
-0.335547
-1.96884
0.648335
-3.65567
-1.62742
-2.22448
0.830498
-1.52964
-1.61618
1.05399
-1.12395
-1.26499
-0.0300505
-1.71697
0.577378
1.0863
2.42057
-2.55815
0.790163
-0.60785
0.533689
1.57027
1.62997
0.713207
2.35585
-1.04836
3.06337
0.437938
1.37937
0.00747416
1.4812
2.16891
0.482158
2.55523
-0.640018
1.56226
-1.54149
0.318045
1.24891
-0.903278
0.495885
-0.302681
0.572289
3.25607
-1.51033
-0.778855
0.913861
-2.68649
-0.109458
0.17071
-4.1778
-1.30927
1.16458
-1.52325
-1.18787
2.33557




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270157&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270157&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270157&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'Sir Maurice George Kendall' @ kendall.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = -0.2816, z = -0.6496, p-value = 0.516
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.5001, z = -0.7432, p-value = 0.4573
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.4887, p-value = 0.475
alternative hypothesis: greater
> geary
[1] 0.8267503

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.2816, z = -0.6496, p-value = 0.516
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.5001, z = -0.7432, p-value = 0.4573
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.4887, p-value = 0.475
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.8267503
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=270157&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = -0.2816, z = -0.6496, p-value = 0.516
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.5001, z = -0.7432, p-value = 0.4573
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.4887, p-value = 0.475
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.8267503
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=270157&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270157&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 = -0.2816, z = -0.6496, p-value = 0.516
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.5001, z = -0.7432, p-value = 0.4573
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.4887, p-value = 0.475
alternative hypothesis: greater
> geary
[1] 0.8267503



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')