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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 computationWed, 17 Dec 2014 12:37:52 +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/17/t1418821267z31eodrurfvmb88.htm/, Retrieved Thu, 16 May 2024 05:49:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270155, Retrieved Thu, 16 May 2024 05:49:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact61
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2013-11-04 07:18:26] [0307e7a6407eb638caabc417e3a6b260]
- RMPD  [Multiple Regression] [] [2014-12-15 13:46:04] [1764622206627ac897c737076a0cb4c8]
- RM      [Multiple Regression] [] [2014-12-15 17:46:30] [ea990983fba95a758c0bb6d29c9aee24]
- RMPD        [Skewness and Kurtosis Test] [] [2014-12-17 12:37:52] [6260c34aa94cecca073345f42e0d4b5d] [Current]
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Dataseries X:
2.27878
-2.43865
1.01911
1.17429
-4.54167
-4.03695
-1.03567
2.9517
0.80204
-0.837639
-4.47299
-0.673222
-6.24955
-0.222041
-0.842843
-2.23695
-0.355717
-0.67778
-2.03441
-2.47848
-1.24568
-4.53594
0.950453
-0.88427
2.56197
-0.0880259
-2.25486
1.70146
1.78015
-0.726582
0.149253
-3.19132
-0.534637
-4.64911
-2.11522
-3.92337
-1.44429
-1.66301
-0.58718
0.187236
-2.57035
-1.58774
-4.72078
-1.42338
1.6146
-0.519972
0.90107
-1.19494
-0.421266
-4.10355
3.02783
0.89771
-0.545044
-4.68677
-1.04336
0.860812
0.631278
-1.95189
-5.27645
3.04536
-1.1757
1.91598
-2.02699
1.15179
-3.46775
3.13959
-1.00419
-1.60542
-2.1159
0.867855
2.16997
0.968735
-0.739383
0.462632
-1.99779
2.48991
-4.28261
0.553669
0.367079
1.37026
0.139563
-1.93379
-3.74217
-0.835695
2.80752
-1.20875
-4.56487
-1.29144
0.165984
0.0545751
-0.636713
-2.07835
2.71022
2.05601
-5.05084
-0.475207
-2.73348
-4.05602
-1.04742
-3.14493
0.394693
2.56433
-3.67797
-0.357122
-0.994008
-1.77291
-1.71668
2.43346
-2.1173
2.1549
-4.99022
-4.07447
-1.22453
0.710628
0.815685
-4.41132
0.93485
2.01451
2.34409
0.464308
2.22939
-3.26068
2.75125
-2.02032
3.30499
0.149275
3.79794
-3.44131
-0.744276
0.667127
-3.46653
1.914
1.60139
1.50836
-1.26558
1.52186
0.0717225
0.842287
-1.57718
3.32145
-3.94641
0.187115
-1.35496
0.535289
3.40553
-0.128224
0.829029
1.53358
0.864294
1.90462
-0.576156
-0.505801
0.475416
-3.60682
1.22662
-5.0929
1.7122
1.50747
0.0389016
2.62539
0.51466
2.28382
1.78913
-1.43264
-0.0932147
4.48913
-0.866257
1.70307
4.02764
3.82879
1.45455
1.63885
3.72291
-0.382151
-2.18125
0.378994
3.69185
1.25213
-0.235385
-0.235385
2.94542
-0.642367
1.86502
1.13091
-3.3044
-0.907048
0.56014
1.54351
0.187515
-1.79305
1.28892
4.23108
-0.214014
1.93337
0.0374179
0.756772
2.46073
-1.33615
3.16083
2.01898
0.913682
-2.89103
0.0111026
3.62291
1.987
2.042
1.98216
-0.124265
0.402593
-0.591543
3.59821
-2.56271
2.92182
0.843685
1.22904
1.45914
2.58379
1.61571
-2.58824
-1.43181
-0.49251
-1.02239
2.23121
1.35358
2.56876
1.27987
0.228299
0.55086
-3.03383
0.976561
1.35435
2.68299
2.52611
1.67317
3.89407
2.59098
2.2305
3.23353
1.60202
1.85316
-1.27359
-1.0002
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1.21575
-3.13956
-1.39788
-0.423432
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2.63642
3.82879
3.10225
0.898857
0.239049
0.794247
-0.206259
-0.605549
-1.17034
-2.02746
-2.34408
1.55487
1.92777
-1.16585
1.7781
-1.83026
-5.98172
0.813998
-4.7296
1.45455
1.7155
-1.4597
2.63642
1.65632
0.79325
1.66331
1.80595
3.79405
1.44069
4.21719
0.644125
0.921526
1.08211
1.90783
1.65331
1.759
-0.604929




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=270155&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=270155&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270155&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 = -0.4557, z = -2.0339, p-value = 0.04197
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.6390, z = -1.3497, p-value = 0.1771
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 11.4522, p-value = 0.00326
alternative hypothesis: greater
> geary
[1] 0.8174418

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.4557, z = -2.0339, p-value = 0.04197
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.6390, z = -1.3497, p-value = 0.1771
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 11.4522, p-value = 0.00326
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.8174418
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=270155&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = -0.4557, z = -2.0339, p-value = 0.04197
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.6390, z = -1.3497, p-value = 0.1771
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 11.4522, p-value = 0.00326
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.8174418
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=270155&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270155&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 = -0.4557, z = -2.0339, p-value = 0.04197
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 2.6390, z = -1.3497, p-value = 0.1771
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 11.4522, p-value = 0.00326
alternative hypothesis: greater
> geary
[1] 0.8174418



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')