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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 computationTue, 16 Dec 2014 00:18:26 +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/t1418689112zaa6krrng5vb41f.htm/, Retrieved Thu, 16 May 2024 07:44:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269115, Retrieved Thu, 16 May 2024 07:44:02 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2014-12-15 16:34:59] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMPD    [Skewness and Kurtosis Test] [] [2014-12-16 00:18:26] [023a69c6c348bca0f1811b046758af62] [Current]
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Dataseries X:
0.178157
-4.52736
0.675572
0.419905
-5.14696
-4.95697
-2.22729
2.03724
0.469713
-1.15199
-5.95134
-1.64833
-7.8847
-0.741455
-1.55124
-3.09753
0.362639
-2.08905
-2.70537
-2.67214
-1.10934
-4.8059
1.45144
-2.3458
1.58398
-1.03855
-3.80642
2.45069
2.12537
-1.53279
-0.452167
-3.73457
-1.56934
-6.02063
-3.32095
-4.40908
-1.76406
-2.37661
-0.93208
0.529009
-2.8801
-2.64279
-5.09362
-2.55267
1.04311
-2.10136
1.6366
-1.92
-0.757884
-3.00027
2.76729
1.4173
-0.353525
-4.28631
-2.27254
-0.239168
0.00914703
-3.36404
-5.98597
2.39764
-1.071
1.05303
-3.91159
1.1205
-3.35774
1.88513
-2.17228
-1.53561
-2.69455
-1.05397
1.98505
1.03509
-1.31822
0.146832
-2.70952
3.30614
-5.32235
-0.236196
-0.670619
1.09205
-1.43432
-1.12316
-3.98229
-0.234004
3.19702
-1.09241
-5.67657
-0.605898
-0.0986532
0.830164
0.920313
-1.58336
2.33815
2.09698
-5.6611
-1.53801
-3.29621
-3.93133
-1.14476
-5.07357
0.523934
2.00798
-2.55719
-0.280659
-1.07486
-1.79766
-1.10884
2.44701
-1.59828
3.28782
-5.63794
-3.66553
-0.89374
1.02677
1.00302
-5.74668
-0.529126
3.42619
2.84462
-0.251018
2.78203
-5.2211
3.50666
-2.87897
2.94514
0.670883
3.90842
-3.99076
-0.740697
1.09301
-3.4768
3.38457
1.74156
2.55317
-1.67476
1.49387
0.984981
0.025616
-1.83976
3.4956
-3.39744
0.786575
-2.00911
0.231361
6.03716
2.46953
1.5517
2.30408
1.33628
2.35528
1.03276
-0.14267
1.01356
-2.43981
1.96882
-4.75321
1.6349
2.63107
-0.558145
2.09757
-0.0166072
2.42906
1.11336
-2.79523
-0.569756
4.98944
-1.36485
2.83811
5.12017
4.72376
0.716872
2.39008
4.69476
-0.253593
-2.78115
1.04891
4.78673
1.53831
-0.629677
-0.60923
4.09849
-0.643363
2.46187
2.25779
-4.4589
-0.949027
0.360044
1.81098
1.55767
0.808899
2.10001
5.20092
0.907852
2.71236
0.109858
-1.37481
3.21181
-1.15518
5.46327
1.40933
-0.25092
-2.3297
0.776834
3.89243
3.65994
1.40158
1.59526
0.639324
0.547171
0.975854
3.54819
-3.22517
1.20886
0.0200621
3.25972
2.49637
1.01637
2.39157
-2.82692
-2.20791
-0.905177
-0.663978
2.83919
1.09554
3.36088
-0.482728
-0.121971
2.08341
-4.38065
0.361006
4.48889
3.16629
3.38315
4.09143
3.27096
3.18561
4.05141
6.39756
1.97529
1.61436
0.0101564
-1.30126
-6.71223
1.48919
-1.67748
-1.63729
1.46441
-1.45194
-2.15756
3.46255
4.7851
5.83503
-0.624896
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1.32609
1.73736
0.743873
0.558407
-0.240414
-2.38795
-0.0299582
1.66886
-0.727384
1.29903
-2.16346
-6.51125
1.25847
-3.56873
0.563515
0.262837
-2.19035
3.51367
2.27053
0.182206
0.446207
5.02887
4.51753
0.607394
4.23111
1.10109
1.71534
1.18554
2.48015
1.17653
2.00293
-2.80252




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269115&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269115&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269115&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'Herman Ole Andreas Wold' @ wold.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = -0.2642, z = -1.2128, p-value = 0.2252
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.7170, z = -0.9597, p-value = 0.3372
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 4.2817, p-value = 0.1176
alternative hypothesis: greater
> geary
[1] 0.8103123

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.2642, z = -1.2128, p-value = 0.2252
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.7170, z = -0.9597, p-value = 0.3372
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 4.2817, p-value = 0.1176
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.8103123
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=269115&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = -0.2642, z = -1.2128, p-value = 0.2252
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.7170, z = -0.9597, p-value = 0.3372
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 4.2817, p-value = 0.1176
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.8103123
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=269115&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269115&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 = -0.2642, z = -1.2128, p-value = 0.2252
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.7170, z = -0.9597, p-value = 0.3372
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 4.2817, p-value = 0.1176
alternative hypothesis: greater
> geary
[1] 0.8103123



Parameters (Session):
par1 = TRUE ;
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')