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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 computationTue, 16 Dec 2014 08:42:39 +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/t14187193703ci2hoqcgpyuggt.htm/, Retrieved Sun, 19 May 2024 00:05:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269172, Retrieved Sun, 19 May 2024 00:05:22 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
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Estimated Impact88
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Skewness and Kurtosis Test] [Paper 9 assumpt 2] [2014-12-16 08:42:39] [7919944b2c0818d4401807e8f8057775] [Current]
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Dataseries X:
-26.5911
-15.8457
12.0041
-9.84566
0.229472
0.130637
-8.77053
25.5241
11.7495
-4.92079
16.2349
0.894318
1.92894
19.2003
7.41436
-12.4062
2.48949
5.05004
20.7441
7.18897
8.00408
3.1598
6.40344
11.1306
0.15434
5.79548
-3.58564
10.0792
-2.66077
-23.0251
-0.175352
4.07921
-12.8165
-3.58564
4.86515
7.60513
0.33923
8.15434
-1.13485
-14.2559
-3.10568
-2.12392
-19.5856
-24.1754
21.1948
-5.58564
7.07921
19.3743
-4.77053
3.15434
-0.53967
-11.5856
10.0095
4.59925
3.74405
-10.4591
0.588328
-4.77599
-6.58564
7.48949
5.55916
-6.88029
-11.5856
3.12518
-7.92625
12.7441
5.56463
-5.77053
-16.9208
-4.25048
-2.25595
6.37974
16.8889
-8.73002
-11.1002
-13.9263
12.4895
-18.0251
-1.58564
-3.84566
3.22947
-5.58564
7.22947
-13.3548
3.82465
5.41436
14.4549
4.48403
2.07375
2.53546
-16.6954
11.189
-20.4354
-4.18081
12.4144
4.07921
5.07375
-6.85658
14.6343
3.82465
11.4144
-24.5966
4.2641
1.71489
-2.76507
5.6343
-2.43537
9.3046
5.55916
9.07921
12.8083
-1.35478
-38.1754
-8.58564
1.41436
2.12518
1.07921
-3.25595
5.07921
6.23493
-1.82196
-5.77599
10.5187
-1.10022
-2.14619
-16.3548
-4.47588
17.4144
-4.66077
-6.58564
6.07921
-0.949956
9.64522
-22.8165
12.4144
-9.25048
-4.47588
6.15434
5.74952
-12.4755
-8.40621
15.0792
-2.58564
0.414362
-11.8457
-2.58564
-4.58564
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3.05551
1.41436
-24.9208
11.8246
12.2349
17.495
1.07921
9.00408
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3.57009
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5.49496
2.70943
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14.6398
6.82465
21.5241
-0.614802
5.71489
2.48949
2.48949
-0.510506
-7.99592
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-7.58564
-0.96088
0.379736
-7.64943
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4.23493
-16.2045
4.07921
7.81919
10.6398
11.8943
0.0555055
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5.74405
10.8998
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-3.6148
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12.2349
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10.3101
5.97491
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-10.9208
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-12.95
0.0905497
3.03912
-1.25048
1.49496
5.73313
3.4089
-3.5911
-16.1002
2.67438
-7.35478
-2.25595
4.48949
6.59925
-2.6954
-3.58564
-2.62026
3.1835
8.07921
4.59925
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11.9749
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11.3392
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3.82465
8.11971
11.2295
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7.59925
15.5938
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2.41436
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4.97491
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10.1543
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7.41436
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6.08467
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1.89978
3.41436
6.23493
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6.3046
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Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269172&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269172&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269172&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'Gertrude Mary Cox' @ cox.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = -0.5316, z = -2.2886, p-value = 0.0221
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.7818, z = 2.2400, p-value = 0.02509
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 19.8098, p-value = 4.993e-05
alternative hypothesis: greater
> geary
[1] 0.7733247

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.5316, z = -2.2886, p-value = 0.0221
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.7818, z = 2.2400, p-value = 0.02509
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 19.8098, p-value = 4.993e-05
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.7733247
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=269172&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = -0.5316, z = -2.2886, p-value = 0.0221
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.7818, z = 2.2400, p-value = 0.02509
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 19.8098, p-value = 4.993e-05
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.7733247
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=269172&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269172&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 = -0.5316, z = -2.2886, p-value = 0.0221
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.7818, z = 2.2400, p-value = 0.02509
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 19.8098, p-value = 4.993e-05
alternative hypothesis: greater
> geary
[1] 0.7733247



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')