Free Statistics

of Irreproducible Research!

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, 09 Dec 2014 11:06:18 +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/09/t14181231883pa9skav5z37pm1.htm/, Retrieved Thu, 16 May 2024 06:21:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264452, Retrieved Thu, 16 May 2024 06:21:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Competence to learn] [2010-11-17 07:43:53] [b98453cac15ba1066b407e146608df68]
- RM D  [Multiple Regression] [] [2014-11-12 15:17:36] [dacad244957cb51472792888970d4390]
-   PD    [Multiple Regression] [] [2014-12-02 10:56:23] [dacad244957cb51472792888970d4390]
- RM D      [Central Tendency] [] [2014-12-09 10:04:13] [dacad244957cb51472792888970d4390]
- RM            [Skewness and Kurtosis Test] [] [2014-12-09 11:06:18] [fbbeb95c33c8ff026e5ecae513ae1a4b] [Current]
Feedback Forum

Post a new message
Dataseries X:
12.656
161.912
115.749
-381.123
-344.714
-12.137
277.604
422.141
-0.312293
-346.119
-0.329695
-469.855
10.074
-0.722818
-0.979944
146.304
0.363257
-122.978
-191.927
-0.0834722
-448.573
276.916
-401.573
126.321
0.520393
-364.053
362.408
32.574
-121.921
-0.0496869
-0.642766
-0.139116
-142.846
-164.379
166.912
162.718
-0.747569
181.188
-247.388
-0.44934
-349.599
0.501716
129.828
-0.945908
438.405
-211.802
291.071
-143.798
32.712
295.757
0.904039
-0.412515
0.0783253
-0.214597
354.687
0.273919
-608.556
423.392
0.38485
317.399
-269.926
0.186608
-182.515
269.233
-396.467
0.770169
-187.982
-0.737892
20.155
157.947
-0.780751
0.886437
-0.740226
465.519
177.349
105.265
220.523
117.604
0.971058
-17.041
0.0760724
261.528
0.873738
-539.957
-0.866171
154.589
240.845
194.814
-170.758
135.039
38.644
-485.072
-169.953
-157.974
-199.146
-242.397
-399.469
149.937
377.964
-242.627
214.114
-0.232164
-0.286038
-14.008
454.462
-161.383
363.141
-506.952
-187.062
-0.703133
0.360874
136.435
-675.532
15.586
259.238
195.648
0.690345
-0.154319
-0.665511
247.036
0.0901333
100.266
251.785
399.235
-259.378
-0.870651
127.489
0.518908
299.598
0.548287
0.373881
-0.579773
0.937628
127.706
0.360847
0.251552
301.917
-169.378
217.613
215.507
-144.375
16.319
0.506884
309.824
0.118024
175.164
-0.268317
0.251467
0.105831
161.344
-690.193
192.617
23.204
-0.189069
142.735
0.0109204
23.252
0.958688
-116.789
-216.242
224.726
2.097
0.0167464
70.272
180.541
-122.626
207.052
0.690168
-0.0413676
-294.833
120.655
244.815
-200.733
-0.97956
-0.97956
283.303
-0.691404
28.364
-100.763
-405.659
-13.041
-191.238
316.229
0.188766
-344.952
0.407616
174.599
-267.494
-371.102
0.0503947
-252.146
120.013
-315.432
309.093
-0.215945
119.497
-167.493
0.43362
109.216
0.766781
0.544842
0.71678
-196.475
-0.0902231
-146.814
114.119
-0.71254
0.288896
388.701
233.528
-0.823836
-0.450571
-1.901
-0.668236
-0.155193
-0.508005
180.621
143.317
-148.432
-0.339919
204.459
-482.418
-180.854
119.336
248.186
205.049
176.428
17.366
406.917
302.719
247.204
342.256
-0.90406
-340.066
-26.443
-679.017
-0.946033
-142.524
0.845174
-100.088
-116.686
-179.735
0.486514
180.541
-282.027
-0.500581
101.899
-0.0355886
0.936573
-12.577
-346.101
-115.659
0.533121
12.619
-332.833
110.532
-498.903
-600.532
-246.123
-643.458
-122.626
-247.489
-363.128
0.486514
186.198
0.552859
0.0736576
0.679297
14.077
-163.203
-0.313613
-119.357
144.983
20.937
0.653959
-0.218053
0.716824
-338.551




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264452&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264452&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264452&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'Sir Maurice George Kendall' @ kendall.wessa.net







Skewness and Kurtosis Test
> agostino
	D'Agostino skewness test
data:  x
skew = -0.5972, z = -2.5599, p-value = 0.01047
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.7153, z = 2.1208, p-value = 0.03394
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 22.453, p-value = 1.332e-05
alternative hypothesis: greater
> geary
[1] 0.7029728

\begin{tabular}{lllllllll}
\hline
Skewness and Kurtosis Test \tabularnewline
> agostino
	D'Agostino skewness test
data:  x
skew = -0.5972, z = -2.5599, p-value = 0.01047
alternative hypothesis: data have a skewness
\tabularnewline
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.7153, z = 2.1208, p-value = 0.03394
alternative hypothesis: kurtosis is not equal to 3
\tabularnewline
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 22.453, p-value = 1.332e-05
alternative hypothesis: greater
\tabularnewline
> geary
[1] 0.7029728
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=264452&T=1

[TABLE]
[ROW][C]Skewness and Kurtosis Test[/C][/ROW]
[ROW][C]
> agostino
	D'Agostino skewness test
data:  x
skew = -0.5972, z = -2.5599, p-value = 0.01047
alternative hypothesis: data have a skewness
[/C][/ROW] [ROW][C]
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.7153, z = 2.1208, p-value = 0.03394
alternative hypothesis: kurtosis is not equal to 3
[/C][/ROW] [ROW][C]
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 22.453, p-value = 1.332e-05
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> geary
[1] 0.7029728
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=264452&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264452&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 = -0.5972, z = -2.5599, p-value = 0.01047
alternative hypothesis: data have a skewness
> anscombe
	Anscombe-Glynn kurtosis test
data:  x
kurt = 3.7153, z = 2.1208, p-value = 0.03394
alternative hypothesis: kurtosis is not equal to 3
> jarque
	Jarque-Bera Normality Test
data:  x
JB = 22.453, p-value = 1.332e-05
alternative hypothesis: greater
> geary
[1] 0.7029728



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')