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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, 18 Nov 2016 17:59:44 +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/2016/Nov/18/t1479488847r2d4a98yiotfybf.htm/, Retrieved Thu, 02 May 2024 16:49:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296831, Retrieved Thu, 02 May 2024 16:49:46 +0000
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Original text written by user:We zien dat het rechtsverdeeld is. De skewness is 0,81. Dit betekent dat het nog "redelijk" normaal verdeeld is. De kurtosis is 2,...
IsPrivate?No (this computation is public)
User-defined keywordsDit is de skewness en kurtosis test.
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Skewness and Kurtosis Test] [F1 competitie n 1...] [2016-11-18 16:59:44] [673dd365cbcfe0c4e35658a2fe545652] [Current]
- RM      [Skewness-Kurtosis Plot] [Skewness and kurt...] [2016-11-18 17:36:45] [95b24d8e95676a05c34b365fb6729343]
- RM      [Bootstrap Plot - Central Tendency] [F1 competitie Boo...] [2016-11-18 18:42:16] [95b24d8e95676a05c34b365fb6729343]
- RM      [Bootstrap Plot - Central Tendency] [F1 competitie Boo...] [2016-11-18 19:14:09] [95b24d8e95676a05c34b365fb6729343]
- RM      [Mean Plot] [F1 competitie mea...] [2016-11-18 20:07:26] [95b24d8e95676a05c34b365fb6729343]
- RM D    [Cronbach Alpha] [Paper 2016: Cronb...] [2016-11-19 18:57:07] [95b24d8e95676a05c34b365fb6729343]
- RM D    [Cronbach Alpha] [Paper 2016: Cronb...] [2016-11-19 19:05:30] [95b24d8e95676a05c34b365fb6729343]
- RM      [Variance Reduction Matrix] [F1 competitie var...] [2016-11-20 13:05:14] [95b24d8e95676a05c34b365fb6729343]
- RM      [(Partial) Autocorrelation Function] [F1 competitie par...] [2016-11-20 14:55:22] [95b24d8e95676a05c34b365fb6729343]
- RM      [(Partial) Autocorrelation Function] [F1 competitie par...] [2016-11-20 15:04:25] [95b24d8e95676a05c34b365fb6729343]
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Dataseries X:
3106.78
3235.94
2998.12
2896.3
2952
3060.24
2988.32
2889
2881.82
2969.22
3026.2
3146.08
3032.48
2719.74
2785.18
2797.28
2783.7
2822.84
2835.8
2823.22
2879.14
3003.5
2910.7
2895.54
2982.36
3087.2
3195.28
3272.72
3390.6
3676.12
4052.18
4431.2
4554.96
4279.7
4391.86
4482.82
4530.68
4580.66
4623.5
4720.14
4811.82
4980.18
5174.28
5181.24




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=296831&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=296831&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296831&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 = 0.81619, z = 2.28220, p-value = 0.02248
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.0312, z = -1.9662, p-value = 0.04928
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 6.6058, p-value = 0.03678
alternative hypothesis: greater
> geary
[1] 0.8966866

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = 0.81619, z = 2.28220, p-value = 0.02248
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.0312, z = -1.9662, p-value = 0.04928
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 6.6058, p-value = 0.03678
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.8966866
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=296831&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = 0.81619, z = 2.28220, p-value = 0.02248
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.0312, z = -1.9662, p-value = 0.04928
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 6.6058, p-value = 0.03678
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.8966866
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=296831&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296831&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 = 0.81619, z = 2.28220, p-value = 0.02248
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.0312, z = -1.9662, p-value = 0.04928
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 6.6058, p-value = 0.03678
alternative hypothesis: greater
> geary
[1] 0.8966866



Parameters (Session):
par1 = 8 ; par2 = 0 ;
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')