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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, 10 Dec 2014 13:42:05 +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/10/t1418218942d61cxxw5w74sas7.htm/, Retrieved Wed, 29 May 2024 00:10:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265168, Retrieved Wed, 29 May 2024 00:10:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2014-12-10 10:42:27] [9ecaa0fefb0ae88b4782d69916cabb9e]
- RMPD    [Skewness and Kurtosis Test] [Sweness/kurtosis] [2014-12-10 13:42:05] [10320d42b3a1ca1321e6e126fa928a8a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9 769
9 321
9 939
9 336
10 195
9 464
10 010
10 213
9 563
9 890
9 305
9 391
9 928
8 686
9 843
9 627
10 074
9 503
10 119
10 000
9 313
9 866
9 172
9 241
9 659
8 904
9 755
9 080
9 435
8 971
10 063
9 793
9 454
9 759
8 820
9 403
9 676
8 642
9 402
9 610
9 294
9 448
10 319
9 548
9 801
9 596
8 923
9 746
9 829
9 125
9 782
9 441
9 162
9 915
10 444
10 209
9 985
9 842
9 429
10 132
9 849
9 172
10 313
9 819
9 955
10 048
10 082
10 541
10 208
10 233
9 439
9 963
10 158
9 225
10 474
9 757
10 490
10 281
10 444
10 640
10 695
10 786
9 832
9 747
10 411
9 511
10 402
9 701
10 540
10 112
10 915
11 183
10 384
10 834
9 886
10 216
10 943
9 867
10 203
10 837
10 573
10 647
11 502
10 656
10 866
10 835
9 945
10 331
10 718
9 462
10 579
10 633
10 346
10 757
11 207
11 013
11 015
10 765
10 042
10 661

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265168&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265168&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265168&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'Gwilym Jenkins' @ jenkins.wessa.net






Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = 0.1040, z = 0.3226, p-value = 0.747
alternative hypothesis: data have a skewness

> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.5240, z = -1.1421, p-value = 0.2534
alternative hypothesis: kurtosis is not equal to 3

> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.349, p-value = 0.5094
alternative hypothesis: greater

> geary
[1] 0.8149704


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

> agostino
	D'Agostino skewness test
data:  x
skew = 0.1040, z = 0.3226, p-value = 0.747
alternative hypothesis: data have a skewness

 \tabularnewline

> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.5240, z = -1.1421, p-value = 0.2534
alternative hypothesis: kurtosis is not equal to 3

 \tabularnewline

> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.349, p-value = 0.5094
alternative hypothesis: greater

 \tabularnewline

> geary
[1] 0.8149704

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265168&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = 0.1040, z = 0.3226, p-value = 0.747
alternative hypothesis: data have a skewness

[/C][/ROW]
[ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.5240, z = -1.1421, p-value = 0.2534
alternative hypothesis: kurtosis is not equal to 3

[/C][/ROW]
[ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.349, p-value = 0.5094
alternative hypothesis: greater

[/C][/ROW]
[ROW][C]
> geary
[1] 0.8149704

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265168&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265168&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 = 0.1040, z = 0.3226, p-value = 0.747
alternative hypothesis: data have a skewness

> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.5240, z = -1.1421, p-value = 0.2534
alternative hypothesis: kurtosis is not equal to 3

> jarque
	Jarque-Bera Normality Test
data:  x
JB = 1.349, p-value = 0.5094
alternative hypothesis: greater

> geary
[1] 0.8149704


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
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')