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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 computationTue, 16 Dec 2014 09:39:09 +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/16/t1418722767fl68g9lsakv80ee.htm/, Retrieved Thu, 16 May 2024 07:18:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269207, Retrieved Thu, 16 May 2024 07:18:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

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] [Paper 12 assumpt 2] [2014-12-16 09:39:09] [7919944b2c0818d4401807e8f8057775] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.390764
-0.196069
-2.52056
0.414541
1.34964
0.284745
-1.54709
-0.585459
2.41454
0.284745
0.609236
1.47944
1.28474
-0.455662
1.32312
-1.87158
-1.90995
0.674134
-0.52056
-1.65036
1.28474
1.86883
0.933727
0.803931
-0.741782
-1.65036
-1.32587
1.60924
0.414541
2.28474
-1.58546
-1.00137
0.47944
2.80393
1.54434
-1.52056
0.47944
-0.585459
0.609236
2.67413
-1.71526
0.47944
1.47944
-0.390764
2.73903
2.73903
-1.19607
-1.45566
2.54434
-1.13117
1.67413
-1.26097
-0.455662
-1.39076
0.219847
0.284745
-2.19607
-2.93648
-1.32587
-2.58546
2.80393
0.47944
1.45291
1.34964
1.73903
0.544338
0.128422
-1.93648
3.06352
-1.58546
1.73903
0.414541
1.80393
0.349643
-0.131171
-7.58546
-1.00137
-1.39076
0.284745
0.47944
1.34964
-2.45566
-0.585459
0.349643
2.67413
-0.325866
0.414541
2.28474
-2.39076
-0.650357
-0.325866
1.28474
-1.19607
-0.325866
-1.32587
0.284745
0.47944
2.47944
1.60924
0.544338
-0.390764
0.349643
1.41454
0.544338
-1.52056
-6.39076
-1.13117
1.73903
-1.26097
-0.325866
-2.58546
0.739033
-0.325866

Tables (Output of Computation)





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=269207&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=269207&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269207&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 time0 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = -1.0228, z = -2.6515, p-value = 0.008014
alternative hypothesis: data have a skewness

> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 6.0718, z = 3.6509, p-value = 0.0002613
alternative hypothesis: kurtosis is not equal to 3

> jarque
	Jarque-Bera Normality Test
data:  x
JB = 64.1306, p-value = 1.188e-14
alternative hypothesis: greater

> geary
[1] 0.7706602


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

> agostino
	D'Agostino skewness test
data:  x
skew = -1.0228, z = -2.6515, p-value = 0.008014
alternative hypothesis: data have a skewness

 \tabularnewline

> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 6.0718, z = 3.6509, p-value = 0.0002613
alternative hypothesis: kurtosis is not equal to 3

 \tabularnewline

> jarque
	Jarque-Bera Normality Test
data:  x
JB = 64.1306, p-value = 1.188e-14
alternative hypothesis: greater

 \tabularnewline

> geary
[1] 0.7706602

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269207&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = -1.0228, z = -2.6515, p-value = 0.008014
alternative hypothesis: data have a skewness

[/C][/ROW]
[ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 6.0718, z = 3.6509, p-value = 0.0002613
alternative hypothesis: kurtosis is not equal to 3

[/C][/ROW]
[ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 64.1306, p-value = 1.188e-14
alternative hypothesis: greater

[/C][/ROW]
[ROW][C]
> geary
[1] 0.7706602

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269207&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269207&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 = -1.0228, z = -2.6515, p-value = 0.008014
alternative hypothesis: data have a skewness

> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 6.0718, z = 3.6509, p-value = 0.0002613
alternative hypothesis: kurtosis is not equal to 3

> jarque
	Jarque-Bera Normality Test
data:  x
JB = 64.1306, p-value = 1.188e-14
alternative hypothesis: greater

> geary
[1] 0.7706602


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')