FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationThu, 22 Dec 2011 09:43:07 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324565318rkv0wkx3au3i7e6.htm/, Retrieved Fri, 03 May 2024 08:06:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159526, Retrieved Fri, 03 May 2024 08:06:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [(Partial) Autocorrelation Function] [Unemployment] [2010-11-29 09:05:21] [b98453cac15ba1066b407e146608df68]
- R  D    [(Partial) Autocorrelation Function] [autocorrelatie ] [2011-12-07 13:35:25] [141ef847e2c5f8e947fe4eabcb0cf143]
-   PD      [(Partial) Autocorrelation Function] [autocorrelatie D=1] [2011-12-07 13:50:51] [141ef847e2c5f8e947fe4eabcb0cf143]
- RMP         [Standard Deviation-Mean Plot] [ST-MP] [2011-12-07 14:22:28] [141ef847e2c5f8e947fe4eabcb0cf143]
- RMP           [ARIMA Backward Selection] [ARIMA backward ] [2011-12-08 13:48:01] [141ef847e2c5f8e947fe4eabcb0cf143]
- R P             [ARIMA Backward Selection] [ARIMA backward nieuw] [2011-12-19 19:26:36] [141ef847e2c5f8e947fe4eabcb0cf143]
- RMPD                [Skewness and Kurtosis Test] [skewness] [2011-12-22 14:43:07] [1a4698f17d8e7f554418314cf0e4bd67] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.352491067189297
-0.693726212281901
-2.62057482256158
4.31439985409331
6.12699035221105
-11.007722453913
9.85737357338869
-5.68308331784826
-2.73868553233788
-6.96089757829408
-2.30558059708951
11.4091362466934
-3.36204181750916
-14.3226417503077
-6.08251008012596
-14.6033454556627
-3.62530423371471
11.273178154969
-0.371222853324218
-3.03711645114068
0.399790646086001
12.6798995234074
4.91702961212093
-1.21903073075922
-3.38013895067434
9.99540956510879
6.92576282552566
10.4736153969682
2.9399140408402
4.36433098901772
-4.23099068714022
-0.0544639004525236
4.9839331308856
-11.0615861073884
-1.41631588881505
-0.599850377760058
0.647026043791595
1.9090371435873
2.89203604596708
-0.00249842894119334
-4.63822948933668
2.83423527757095
-6.86863363017918
9.10508456804962
-12.8257487320615
-3.28367221464237
6.38917992951302
6.82425066542711

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=159526&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=159526&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159526&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 = -0.1627, z = -0.3379, p-value = 0.7355
alternative hypothesis: data have a skewness 

> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.5665, z = -0.4111, p-value = 0.681
alternative hypothesis: kurtosis is not equal to 3 

> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 0.5877, p-value = 0.7454
alternative hypothesis: greater 

> geary
[1] 0.7960287


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

> agostino
	D'Agostino skewness test
data:  x 
skew = -0.1627, z = -0.3379, p-value = 0.7355
alternative hypothesis: data have a skewness 

 \tabularnewline

> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.5665, z = -0.4111, p-value = 0.681
alternative hypothesis: kurtosis is not equal to 3 

 \tabularnewline

> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 0.5877, p-value = 0.7454
alternative hypothesis: greater 

 \tabularnewline

> geary
[1] 0.7960287

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159526&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x 
skew = -0.1627, z = -0.3379, p-value = 0.7355
alternative hypothesis: data have a skewness 

[/C][/ROW]
[ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.5665, z = -0.4111, p-value = 0.681
alternative hypothesis: kurtosis is not equal to 3 

[/C][/ROW]
[ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 0.5877, p-value = 0.7454
alternative hypothesis: greater 

[/C][/ROW]
[ROW][C]
> geary
[1] 0.7960287

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159526&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159526&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 = -0.1627, z = -0.3379, p-value = 0.7355
alternative hypothesis: data have a skewness 

> anscombe
	Anscombe-Glynn kurtosis test
data:  x 
kurt = 2.5665, z = -0.4111, p-value = 0.681
alternative hypothesis: kurtosis is not equal to 3 

> jarque
	Jarque-Bera Normality Test
data:  x 
JB = 0.5877, p-value = 0.7454
alternative hypothesis: greater 

> geary
[1] 0.7960287


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')