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R Software Module

rwasp_centraltendency.wasp

Title produced by software

Central Tendency

Date of computation

Tue, 16 Dec 2014 16:41:40 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/16/t14187481180ev96izeefsqop6.htm/, Retrieved Thu, 16 May 2024 12:28:32 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269827, Retrieved Thu, 16 May 2024 12:28:32 +0000

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User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Central Tendency] [] [2014-11-04 10:08:09] [32b17a345b130fdf5cc88718ed94a974]
- R  D  [Central Tendency] [paper46] [2014-12-16 16:38:46] [55a850ac261e4a7d4f206113c00d6f60]
-    D      [Central Tendency] [paper47] [2014-12-16 16:41:40] [0015a2406d94cac8c1a56a29b9122359] [Current]
-    D        [Central Tendency] [paper48] [2014-12-16 16:43:24] [55a850ac261e4a7d4f206113c00d6f60] 

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269827&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]2 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=269827&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269827&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Central Tendency - Ungrouped Data
Measure	Value	S.E.	Value/S.E.
Arithmetic Mean	5.73333333475645e-07	3.1890835668285	1.79779965454407e-07
Geometric Mean	NaN
Harmonic Mean	109.271530006499
Quadratic Mean	38.9277259217145
Winsorized Mean ( 1 / 50 )	0.0801445733333335	3.10580921642012	0.0258047316331012
Winsorized Mean ( 2 / 50 )	0.12454324	3.07321754371796	0.0405253576189496
Winsorized Mean ( 3 / 50 )	0.12951524	3.04432908895348	0.0425431141692117
Winsorized Mean ( 4 / 50 )	-0.0224074266666666	3.00842990972101	-0.00744821296792138
Winsorized Mean ( 5 / 50 )	0.000365906666667115	2.9918148275585	0.000122302578119688
Winsorized Mean ( 6 / 50 )	-0.356538093333333	2.92578359800457	-0.121860719151101
Winsorized Mean ( 7 / 50 )	-0.404642093333334	2.85982272009343	-0.141492019938954
Winsorized Mean ( 8 / 50 )	-0.685538093333333	2.80260243852708	-0.244607684596757
Winsorized Mean ( 9 / 50 )	-0.0534620933333338	2.65268309935082	-0.0201539691440781
Winsorized Mean ( 10 / 50 )	0.0640179066666663	2.57969727693166	0.0248160538987002
Winsorized Mean ( 11 / 50 )	0.0596325733333337	2.55941937086487	0.0232992584225003
Winsorized Mean ( 12 / 50 )	0.0463445733333337	2.54461030010638	0.0182128372786183
Winsorized Mean ( 13 / 50 )	0.370018573333333	2.48796869128532	0.148723163048397
Winsorized Mean ( 14 / 50 )	1.86115857333333	2.19134224785623	0.849323548228984
Winsorized Mean ( 15 / 50 )	1.87245857333333	2.18818646406326	0.855712529112509
Winsorized Mean ( 16 / 50 )	1.78969590666667	2.17252120960042	0.823787541754696
Winsorized Mean ( 17 / 50 )	1.63133524	2.12435473004749	0.767920355732461
Winsorized Mean ( 18 / 50 )	1.64886724	2.11338219125875	0.780203054052387
Winsorized Mean ( 19 / 50 )	1.63642857333333	2.09207948601541	0.7822019116731
Winsorized Mean ( 20 / 50 )	1.76545524	2.07041243359363	0.852707031388761
Winsorized Mean ( 21 / 50 )	1.72082324	2.05414082051794	0.837733821757215
Winsorized Mean ( 22 / 50 )	1.96940857333333	1.99910155147375	0.985146838529276
Winsorized Mean ( 23 / 50 )	1.97888457333333	1.99420045497612	0.992319788311869
Winsorized Mean ( 24 / 50 )	1.96245257333333	1.99083669039803	0.985742619069865
Winsorized Mean ( 25 / 50 )	2.56816924	1.91342180624426	1.34218666873088
Winsorized Mean ( 26 / 50 )	2.25934124	1.87432104455803	1.20541848823596
Winsorized Mean ( 27 / 50 )	2.32860524	1.86074978943793	1.25143383232809
Winsorized Mean ( 28 / 50 )	2.37017590666667	1.83955556586491	1.28845029236845
Winsorized Mean ( 29 / 50 )	2.53176390666667	1.8154831693878	1.39454000420197
Winsorized Mean ( 30 / 50 )	2.50880390666667	1.79686990171223	1.3962078747471
Winsorized Mean ( 31 / 50 )	2.54745057333333	1.75447459623134	1.45197347331521
Winsorized Mean ( 32 / 50 )	2.60626657333333	1.72896786444424	1.50741180731609
Winsorized Mean ( 33 / 50 )	2.55940657333333	1.70444554043559	1.50160654160839
Winsorized Mean ( 34 / 50 )	2.76936790666667	1.67010682580028	1.65819806486908
Winsorized Mean ( 35 / 50 )	2.62600790666667	1.65360886892498	1.58804657861677
Winsorized Mean ( 36 / 50 )	2.67595190666667	1.62711307265971	1.64460107390846
Winsorized Mean ( 37 / 50 )	2.97908057333333	1.57377638700493	1.89295035681839
Winsorized Mean ( 38 / 50 )	3.16350724	1.55113498119989	2.03947901268583
Winsorized Mean ( 39 / 50 )	3.29701724	1.53340095320863	2.15013381405628
Winsorized Mean ( 40 / 50 )	3.49117724	1.49373680158792	2.33721043512398
Winsorized Mean ( 41 / 50 )	3.25755924	1.46801864064725	2.2190176267542
Winsorized Mean ( 42 / 50 )	3.21586724	1.45681174168939	2.20746933043711
Winsorized Mean ( 43 / 50 )	3.21884857333333	1.45268760935196	2.2157885512421
Winsorized Mean ( 44 / 50 )	3.36756857333333	1.40350391213882	2.39940091666823
Winsorized Mean ( 45 / 50 )	3.62028857333333	1.37033312190342	2.64190401258394
Winsorized Mean ( 46 / 50 )	3.80450324	1.33872222990916	2.84189143572985
Winsorized Mean ( 47 / 50 )	3.78423057333333	1.32500851666954	2.85600471674336
Winsorized Mean ( 48 / 50 )	3.77341457333333	1.31942411439061	2.85989511043318
Winsorized Mean ( 49 / 50 )	3.65192724	1.30797022049751	2.7920568700799
Winsorized Mean ( 50 / 50 )	3.74889390666667	1.28464081437395	2.91824287747982
Trimmed Mean ( 1 / 50 )	0.203135716216216	3.01493515055021	0.0673764794506924
Trimmed Mean ( 2 / 50 )	0.329496479452055	2.91529786358429	0.113023263786482
Trimmed Mean ( 3 / 50 )	0.436242958333334	2.82498764046568	0.15442296174486
Trimmed Mean ( 4 / 50 )	0.544245676056338	2.73766986519506	0.198798870154331
Trimmed Mean ( 5 / 50 )	0.696027757142857	2.65323048740685	0.262332187288834
Trimmed Mean ( 6 / 50 )	0.847258594202899	2.56473409070778	0.330349488187715
Trimmed Mean ( 7 / 50 )	1.06854475	2.48259968946529	0.430413632344467
Trimmed Mean ( 8 / 50 )	1.304129	2.40586046754139	0.542063439503091
Trimmed Mean ( 9 / 50 )	1.58675216666667	2.33181374118396	0.680479807903099
Trimmed Mean ( 10 / 50 )	1.79703604615385	2.27695662938872	0.789227174096982
Trimmed Mean ( 11 / 50 )	2.000124109375	2.22828486352088	0.897607008026179
Trimmed Mean ( 12 / 50 )	2.21013401587302	2.17761063999267	1.01493534945277
Trimmed Mean ( 13 / 50 )	2.4282579516129	2.12366776116679	1.14342647942198
Trimmed Mean ( 14 / 50 )	2.62292119672131	2.07209329854669	1.26583161026628
Trimmed Mean ( 15 / 50 )	2.69093571666667	2.0538302241368	1.31020358208899
Trimmed Mean ( 16 / 50 )	2.76029818644068	2.03387009946035	1.35716542918502
Trimmed Mean ( 17 / 50 )	2.83874125862069	2.01339385045105	1.40992844394788
Trimmed Mean ( 18 / 50 )	2.93219373684211	1.99578661860784	1.46919200154145
Trimmed Mean ( 19 / 50 )	3.02767933928571	1.97721157714679	1.53128748297883
Trimmed Mean ( 20 / 50 )	3.12752987272727	1.95858539725048	1.59683099706441
Trimmed Mean ( 21 / 50 )	3.22211838888889	1.93992662855064	1.66094858509994
Trimmed Mean ( 22 / 50 )	3.32328383018868	1.92051951765902	1.73040877722479
Trimmed Mean ( 23 / 50 )	3.41204313461538	1.90427490459015	1.7917807593803
Trimmed Mean ( 24 / 50 )	3.50367731372549	1.88627146543423	1.85746186481113
Trimmed Mean ( 25 / 50 )	3.60000386	1.86610607753982	1.92915285113163
Trimmed Mean ( 26 / 50 )	3.66317740816327	1.85114069929234	1.9788757329811
Trimmed Mean ( 27 / 50 )	3.7475425625	1.83757475111156	2.03939598116109
Trimmed Mean ( 28 / 50 )	3.83140410638298	1.82317004727595	2.10150672018092
Trimmed Mean ( 29 / 50 )	3.91649115217391	1.80851469927322	2.16558436254227
Trimmed Mean ( 30 / 50 )	3.99607317777778	1.79387475014154	2.22762106298808
Trimmed Mean ( 31 / 50 )	4.08057711363636	1.77856499624553	2.29430868270222
Trimmed Mean ( 32 / 50 )	4.16683704651163	1.76483834687158	2.36103043312603
Trimmed Mean ( 33 / 50 )	4.25392245238095	1.75114561643205	2.42922256862241
Trimmed Mean ( 34 / 50 )	4.34785348780488	1.73726886922625	2.5026946403186
Trimmed Mean ( 35 / 50 )	4.434902325	1.72430097179867	2.57200013079725
Trimmed Mean ( 36 / 50 )	4.53429212820513	1.71022036034341	2.65129116302571
Trimmed Mean ( 37 / 50 )	4.63617481578947	1.69601192525311	2.7335744205322
Trimmed Mean ( 38 / 50 )	4.72695791891892	1.68464795084398	2.80590251307449
Trimmed Mean ( 39 / 50 )	4.81267341666667	1.67306503115068	2.87656087902133
Trimmed Mean ( 40 / 50 )	4.89595122857143	1.66061013460015	2.94828456514888
Trimmed Mean ( 41 / 50 )	4.97342038235294	1.6496067300662	3.01491276175465
Trimmed Mean ( 42 / 50 )	5.06853463636364	1.63826860766256	3.09383614668372
Trimmed Mean ( 43 / 50 )	5.17192009375	1.62491362566891	3.18288923918705
Trimmed Mean ( 44 / 50 )	5.28180783870968	1.60829137873461	3.2841112677389
Trimmed Mean ( 45 / 50 )	5.39057143333333	1.59369106643995	3.38244440647773
Trimmed Mean ( 46 / 50 )	5.49231182758621	1.57943349178857	3.47739354404006
Trimmed Mean ( 47 / 50 )	5.59059260714286	1.56523443495774	3.57172860645235
Trimmed Mean ( 48 / 50 )	5.69735159259259	1.5482602378787	3.6798410585023
Trimmed Mean ( 49 / 50 )	5.81297280769231	1.52661112447883	3.80776264137128
Trimmed Mean ( 50 / 50 )	5.94528172	1.49982736880229	3.96397735077183
Median	8.45777
Midrange	-15.032
Midmean - Weighted Average at Xnp	4.37668914666667
Midmean - Weighted Average at X(n+1)p	4.63617481578947
Midmean - Empirical Distribution Function	4.63617481578947
Midmean - Empirical Distribution Function - Averaging	4.63617481578947
Midmean - Empirical Distribution Function - Interpolation	4.72695791891892
Midmean - Closest Observation	4.63617481578947
Midmean - True Basic - Statistics Graphics Toolkit	4.63617481578947
Midmean - MS Excel (old versions)	4.63617481578947
Number of observations	150

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 5.73333333475645e-07 & 3.1890835668285 & 1.79779965454407e-07 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & 109.271530006499 &  &  \tabularnewline
Quadratic Mean & 38.9277259217145 &  &  \tabularnewline
Winsorized Mean ( 1 / 50 ) & 0.0801445733333335 & 3.10580921642012 & 0.0258047316331012 \tabularnewline
Winsorized Mean ( 2 / 50 ) & 0.12454324 & 3.07321754371796 & 0.0405253576189496 \tabularnewline
Winsorized Mean ( 3 / 50 ) & 0.12951524 & 3.04432908895348 & 0.0425431141692117 \tabularnewline
Winsorized Mean ( 4 / 50 ) & -0.0224074266666666 & 3.00842990972101 & -0.00744821296792138 \tabularnewline
Winsorized Mean ( 5 / 50 ) & 0.000365906666667115 & 2.9918148275585 & 0.000122302578119688 \tabularnewline
Winsorized Mean ( 6 / 50 ) & -0.356538093333333 & 2.92578359800457 & -0.121860719151101 \tabularnewline
Winsorized Mean ( 7 / 50 ) & -0.404642093333334 & 2.85982272009343 & -0.141492019938954 \tabularnewline
Winsorized Mean ( 8 / 50 ) & -0.685538093333333 & 2.80260243852708 & -0.244607684596757 \tabularnewline
Winsorized Mean ( 9 / 50 ) & -0.0534620933333338 & 2.65268309935082 & -0.0201539691440781 \tabularnewline
Winsorized Mean ( 10 / 50 ) & 0.0640179066666663 & 2.57969727693166 & 0.0248160538987002 \tabularnewline
Winsorized Mean ( 11 / 50 ) & 0.0596325733333337 & 2.55941937086487 & 0.0232992584225003 \tabularnewline
Winsorized Mean ( 12 / 50 ) & 0.0463445733333337 & 2.54461030010638 & 0.0182128372786183 \tabularnewline
Winsorized Mean ( 13 / 50 ) & 0.370018573333333 & 2.48796869128532 & 0.148723163048397 \tabularnewline
Winsorized Mean ( 14 / 50 ) & 1.86115857333333 & 2.19134224785623 & 0.849323548228984 \tabularnewline
Winsorized Mean ( 15 / 50 ) & 1.87245857333333 & 2.18818646406326 & 0.855712529112509 \tabularnewline
Winsorized Mean ( 16 / 50 ) & 1.78969590666667 & 2.17252120960042 & 0.823787541754696 \tabularnewline
Winsorized Mean ( 17 / 50 ) & 1.63133524 & 2.12435473004749 & 0.767920355732461 \tabularnewline
Winsorized Mean ( 18 / 50 ) & 1.64886724 & 2.11338219125875 & 0.780203054052387 \tabularnewline
Winsorized Mean ( 19 / 50 ) & 1.63642857333333 & 2.09207948601541 & 0.7822019116731 \tabularnewline
Winsorized Mean ( 20 / 50 ) & 1.76545524 & 2.07041243359363 & 0.852707031388761 \tabularnewline
Winsorized Mean ( 21 / 50 ) & 1.72082324 & 2.05414082051794 & 0.837733821757215 \tabularnewline
Winsorized Mean ( 22 / 50 ) & 1.96940857333333 & 1.99910155147375 & 0.985146838529276 \tabularnewline
Winsorized Mean ( 23 / 50 ) & 1.97888457333333 & 1.99420045497612 & 0.992319788311869 \tabularnewline
Winsorized Mean ( 24 / 50 ) & 1.96245257333333 & 1.99083669039803 & 0.985742619069865 \tabularnewline
Winsorized Mean ( 25 / 50 ) & 2.56816924 & 1.91342180624426 & 1.34218666873088 \tabularnewline
Winsorized Mean ( 26 / 50 ) & 2.25934124 & 1.87432104455803 & 1.20541848823596 \tabularnewline
Winsorized Mean ( 27 / 50 ) & 2.32860524 & 1.86074978943793 & 1.25143383232809 \tabularnewline
Winsorized Mean ( 28 / 50 ) & 2.37017590666667 & 1.83955556586491 & 1.28845029236845 \tabularnewline
Winsorized Mean ( 29 / 50 ) & 2.53176390666667 & 1.8154831693878 & 1.39454000420197 \tabularnewline
Winsorized Mean ( 30 / 50 ) & 2.50880390666667 & 1.79686990171223 & 1.3962078747471 \tabularnewline
Winsorized Mean ( 31 / 50 ) & 2.54745057333333 & 1.75447459623134 & 1.45197347331521 \tabularnewline
Winsorized Mean ( 32 / 50 ) & 2.60626657333333 & 1.72896786444424 & 1.50741180731609 \tabularnewline
Winsorized Mean ( 33 / 50 ) & 2.55940657333333 & 1.70444554043559 & 1.50160654160839 \tabularnewline
Winsorized Mean ( 34 / 50 ) & 2.76936790666667 & 1.67010682580028 & 1.65819806486908 \tabularnewline
Winsorized Mean ( 35 / 50 ) & 2.62600790666667 & 1.65360886892498 & 1.58804657861677 \tabularnewline
Winsorized Mean ( 36 / 50 ) & 2.67595190666667 & 1.62711307265971 & 1.64460107390846 \tabularnewline
Winsorized Mean ( 37 / 50 ) & 2.97908057333333 & 1.57377638700493 & 1.89295035681839 \tabularnewline
Winsorized Mean ( 38 / 50 ) & 3.16350724 & 1.55113498119989 & 2.03947901268583 \tabularnewline
Winsorized Mean ( 39 / 50 ) & 3.29701724 & 1.53340095320863 & 2.15013381405628 \tabularnewline
Winsorized Mean ( 40 / 50 ) & 3.49117724 & 1.49373680158792 & 2.33721043512398 \tabularnewline
Winsorized Mean ( 41 / 50 ) & 3.25755924 & 1.46801864064725 & 2.2190176267542 \tabularnewline
Winsorized Mean ( 42 / 50 ) & 3.21586724 & 1.45681174168939 & 2.20746933043711 \tabularnewline
Winsorized Mean ( 43 / 50 ) & 3.21884857333333 & 1.45268760935196 & 2.2157885512421 \tabularnewline
Winsorized Mean ( 44 / 50 ) & 3.36756857333333 & 1.40350391213882 & 2.39940091666823 \tabularnewline
Winsorized Mean ( 45 / 50 ) & 3.62028857333333 & 1.37033312190342 & 2.64190401258394 \tabularnewline
Winsorized Mean ( 46 / 50 ) & 3.80450324 & 1.33872222990916 & 2.84189143572985 \tabularnewline
Winsorized Mean ( 47 / 50 ) & 3.78423057333333 & 1.32500851666954 & 2.85600471674336 \tabularnewline
Winsorized Mean ( 48 / 50 ) & 3.77341457333333 & 1.31942411439061 & 2.85989511043318 \tabularnewline
Winsorized Mean ( 49 / 50 ) & 3.65192724 & 1.30797022049751 & 2.7920568700799 \tabularnewline
Winsorized Mean ( 50 / 50 ) & 3.74889390666667 & 1.28464081437395 & 2.91824287747982 \tabularnewline
Trimmed Mean ( 1 / 50 ) & 0.203135716216216 & 3.01493515055021 & 0.0673764794506924 \tabularnewline
Trimmed Mean ( 2 / 50 ) & 0.329496479452055 & 2.91529786358429 & 0.113023263786482 \tabularnewline
Trimmed Mean ( 3 / 50 ) & 0.436242958333334 & 2.82498764046568 & 0.15442296174486 \tabularnewline
Trimmed Mean ( 4 / 50 ) & 0.544245676056338 & 2.73766986519506 & 0.198798870154331 \tabularnewline
Trimmed Mean ( 5 / 50 ) & 0.696027757142857 & 2.65323048740685 & 0.262332187288834 \tabularnewline
Trimmed Mean ( 6 / 50 ) & 0.847258594202899 & 2.56473409070778 & 0.330349488187715 \tabularnewline
Trimmed Mean ( 7 / 50 ) & 1.06854475 & 2.48259968946529 & 0.430413632344467 \tabularnewline
Trimmed Mean ( 8 / 50 ) & 1.304129 & 2.40586046754139 & 0.542063439503091 \tabularnewline
Trimmed Mean ( 9 / 50 ) & 1.58675216666667 & 2.33181374118396 & 0.680479807903099 \tabularnewline
Trimmed Mean ( 10 / 50 ) & 1.79703604615385 & 2.27695662938872 & 0.789227174096982 \tabularnewline
Trimmed Mean ( 11 / 50 ) & 2.000124109375 & 2.22828486352088 & 0.897607008026179 \tabularnewline
Trimmed Mean ( 12 / 50 ) & 2.21013401587302 & 2.17761063999267 & 1.01493534945277 \tabularnewline
Trimmed Mean ( 13 / 50 ) & 2.4282579516129 & 2.12366776116679 & 1.14342647942198 \tabularnewline
Trimmed Mean ( 14 / 50 ) & 2.62292119672131 & 2.07209329854669 & 1.26583161026628 \tabularnewline
Trimmed Mean ( 15 / 50 ) & 2.69093571666667 & 2.0538302241368 & 1.31020358208899 \tabularnewline
Trimmed Mean ( 16 / 50 ) & 2.76029818644068 & 2.03387009946035 & 1.35716542918502 \tabularnewline
Trimmed Mean ( 17 / 50 ) & 2.83874125862069 & 2.01339385045105 & 1.40992844394788 \tabularnewline
Trimmed Mean ( 18 / 50 ) & 2.93219373684211 & 1.99578661860784 & 1.46919200154145 \tabularnewline
Trimmed Mean ( 19 / 50 ) & 3.02767933928571 & 1.97721157714679 & 1.53128748297883 \tabularnewline
Trimmed Mean ( 20 / 50 ) & 3.12752987272727 & 1.95858539725048 & 1.59683099706441 \tabularnewline
Trimmed Mean ( 21 / 50 ) & 3.22211838888889 & 1.93992662855064 & 1.66094858509994 \tabularnewline
Trimmed Mean ( 22 / 50 ) & 3.32328383018868 & 1.92051951765902 & 1.73040877722479 \tabularnewline
Trimmed Mean ( 23 / 50 ) & 3.41204313461538 & 1.90427490459015 & 1.7917807593803 \tabularnewline
Trimmed Mean ( 24 / 50 ) & 3.50367731372549 & 1.88627146543423 & 1.85746186481113 \tabularnewline
Trimmed Mean ( 25 / 50 ) & 3.60000386 & 1.86610607753982 & 1.92915285113163 \tabularnewline
Trimmed Mean ( 26 / 50 ) & 3.66317740816327 & 1.85114069929234 & 1.9788757329811 \tabularnewline
Trimmed Mean ( 27 / 50 ) & 3.7475425625 & 1.83757475111156 & 2.03939598116109 \tabularnewline
Trimmed Mean ( 28 / 50 ) & 3.83140410638298 & 1.82317004727595 & 2.10150672018092 \tabularnewline
Trimmed Mean ( 29 / 50 ) & 3.91649115217391 & 1.80851469927322 & 2.16558436254227 \tabularnewline
Trimmed Mean ( 30 / 50 ) & 3.99607317777778 & 1.79387475014154 & 2.22762106298808 \tabularnewline
Trimmed Mean ( 31 / 50 ) & 4.08057711363636 & 1.77856499624553 & 2.29430868270222 \tabularnewline
Trimmed Mean ( 32 / 50 ) & 4.16683704651163 & 1.76483834687158 & 2.36103043312603 \tabularnewline
Trimmed Mean ( 33 / 50 ) & 4.25392245238095 & 1.75114561643205 & 2.42922256862241 \tabularnewline
Trimmed Mean ( 34 / 50 ) & 4.34785348780488 & 1.73726886922625 & 2.5026946403186 \tabularnewline
Trimmed Mean ( 35 / 50 ) & 4.434902325 & 1.72430097179867 & 2.57200013079725 \tabularnewline
Trimmed Mean ( 36 / 50 ) & 4.53429212820513 & 1.71022036034341 & 2.65129116302571 \tabularnewline
Trimmed Mean ( 37 / 50 ) & 4.63617481578947 & 1.69601192525311 & 2.7335744205322 \tabularnewline
Trimmed Mean ( 38 / 50 ) & 4.72695791891892 & 1.68464795084398 & 2.80590251307449 \tabularnewline
Trimmed Mean ( 39 / 50 ) & 4.81267341666667 & 1.67306503115068 & 2.87656087902133 \tabularnewline
Trimmed Mean ( 40 / 50 ) & 4.89595122857143 & 1.66061013460015 & 2.94828456514888 \tabularnewline
Trimmed Mean ( 41 / 50 ) & 4.97342038235294 & 1.6496067300662 & 3.01491276175465 \tabularnewline
Trimmed Mean ( 42 / 50 ) & 5.06853463636364 & 1.63826860766256 & 3.09383614668372 \tabularnewline
Trimmed Mean ( 43 / 50 ) & 5.17192009375 & 1.62491362566891 & 3.18288923918705 \tabularnewline
Trimmed Mean ( 44 / 50 ) & 5.28180783870968 & 1.60829137873461 & 3.2841112677389 \tabularnewline
Trimmed Mean ( 45 / 50 ) & 5.39057143333333 & 1.59369106643995 & 3.38244440647773 \tabularnewline
Trimmed Mean ( 46 / 50 ) & 5.49231182758621 & 1.57943349178857 & 3.47739354404006 \tabularnewline
Trimmed Mean ( 47 / 50 ) & 5.59059260714286 & 1.56523443495774 & 3.57172860645235 \tabularnewline
Trimmed Mean ( 48 / 50 ) & 5.69735159259259 & 1.5482602378787 & 3.6798410585023 \tabularnewline
Trimmed Mean ( 49 / 50 ) & 5.81297280769231 & 1.52661112447883 & 3.80776264137128 \tabularnewline
Trimmed Mean ( 50 / 50 ) & 5.94528172 & 1.49982736880229 & 3.96397735077183 \tabularnewline
Median & 8.45777 &  &  \tabularnewline
Midrange & -15.032 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 4.37668914666667 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 4.63617481578947 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 4.63617481578947 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 4.63617481578947 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 4.72695791891892 &  &  \tabularnewline
Midmean - Closest Observation & 4.63617481578947 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 4.63617481578947 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 4.63617481578947 &  &  \tabularnewline
Number of observations & 150 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269827&T=1

[TABLE]
[ROW][C]Central Tendency - Ungrouped Data[/C][/ROW]
[ROW][C]Measure[/C][C]Value[/C][C]S.E.[/C][C]Value/S.E.[/C][/ROW]
[ROW][C]Arithmetic Mean[/C][C]5.73333333475645e-07[/C][C]3.1890835668285[/C][C]1.79779965454407e-07[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]109.271530006499[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]38.9277259217145[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 50 )[/C][C]0.0801445733333335[/C][C]3.10580921642012[/C][C]0.0258047316331012[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 50 )[/C][C]0.12454324[/C][C]3.07321754371796[/C][C]0.0405253576189496[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 50 )[/C][C]0.12951524[/C][C]3.04432908895348[/C][C]0.0425431141692117[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 50 )[/C][C]-0.0224074266666666[/C][C]3.00842990972101[/C][C]-0.00744821296792138[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 50 )[/C][C]0.000365906666667115[/C][C]2.9918148275585[/C][C]0.000122302578119688[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 50 )[/C][C]-0.356538093333333[/C][C]2.92578359800457[/C][C]-0.121860719151101[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 50 )[/C][C]-0.404642093333334[/C][C]2.85982272009343[/C][C]-0.141492019938954[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 50 )[/C][C]-0.685538093333333[/C][C]2.80260243852708[/C][C]-0.244607684596757[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 50 )[/C][C]-0.0534620933333338[/C][C]2.65268309935082[/C][C]-0.0201539691440781[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 50 )[/C][C]0.0640179066666663[/C][C]2.57969727693166[/C][C]0.0248160538987002[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 50 )[/C][C]0.0596325733333337[/C][C]2.55941937086487[/C][C]0.0232992584225003[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 50 )[/C][C]0.0463445733333337[/C][C]2.54461030010638[/C][C]0.0182128372786183[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 50 )[/C][C]0.370018573333333[/C][C]2.48796869128532[/C][C]0.148723163048397[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 50 )[/C][C]1.86115857333333[/C][C]2.19134224785623[/C][C]0.849323548228984[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 50 )[/C][C]1.87245857333333[/C][C]2.18818646406326[/C][C]0.855712529112509[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 50 )[/C][C]1.78969590666667[/C][C]2.17252120960042[/C][C]0.823787541754696[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 50 )[/C][C]1.63133524[/C][C]2.12435473004749[/C][C]0.767920355732461[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 50 )[/C][C]1.64886724[/C][C]2.11338219125875[/C][C]0.780203054052387[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 50 )[/C][C]1.63642857333333[/C][C]2.09207948601541[/C][C]0.7822019116731[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 50 )[/C][C]1.76545524[/C][C]2.07041243359363[/C][C]0.852707031388761[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 50 )[/C][C]1.72082324[/C][C]2.05414082051794[/C][C]0.837733821757215[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 50 )[/C][C]1.96940857333333[/C][C]1.99910155147375[/C][C]0.985146838529276[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 50 )[/C][C]1.97888457333333[/C][C]1.99420045497612[/C][C]0.992319788311869[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 50 )[/C][C]1.96245257333333[/C][C]1.99083669039803[/C][C]0.985742619069865[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 50 )[/C][C]2.56816924[/C][C]1.91342180624426[/C][C]1.34218666873088[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 50 )[/C][C]2.25934124[/C][C]1.87432104455803[/C][C]1.20541848823596[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 50 )[/C][C]2.32860524[/C][C]1.86074978943793[/C][C]1.25143383232809[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 50 )[/C][C]2.37017590666667[/C][C]1.83955556586491[/C][C]1.28845029236845[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 50 )[/C][C]2.53176390666667[/C][C]1.8154831693878[/C][C]1.39454000420197[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 50 )[/C][C]2.50880390666667[/C][C]1.79686990171223[/C][C]1.3962078747471[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 50 )[/C][C]2.54745057333333[/C][C]1.75447459623134[/C][C]1.45197347331521[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 50 )[/C][C]2.60626657333333[/C][C]1.72896786444424[/C][C]1.50741180731609[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 50 )[/C][C]2.55940657333333[/C][C]1.70444554043559[/C][C]1.50160654160839[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 50 )[/C][C]2.76936790666667[/C][C]1.67010682580028[/C][C]1.65819806486908[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 50 )[/C][C]2.62600790666667[/C][C]1.65360886892498[/C][C]1.58804657861677[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 50 )[/C][C]2.67595190666667[/C][C]1.62711307265971[/C][C]1.64460107390846[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 50 )[/C][C]2.97908057333333[/C][C]1.57377638700493[/C][C]1.89295035681839[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 50 )[/C][C]3.16350724[/C][C]1.55113498119989[/C][C]2.03947901268583[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 50 )[/C][C]3.29701724[/C][C]1.53340095320863[/C][C]2.15013381405628[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 50 )[/C][C]3.49117724[/C][C]1.49373680158792[/C][C]2.33721043512398[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 50 )[/C][C]3.25755924[/C][C]1.46801864064725[/C][C]2.2190176267542[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 50 )[/C][C]3.21586724[/C][C]1.45681174168939[/C][C]2.20746933043711[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 50 )[/C][C]3.21884857333333[/C][C]1.45268760935196[/C][C]2.2157885512421[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 50 )[/C][C]3.36756857333333[/C][C]1.40350391213882[/C][C]2.39940091666823[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 50 )[/C][C]3.62028857333333[/C][C]1.37033312190342[/C][C]2.64190401258394[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 50 )[/C][C]3.80450324[/C][C]1.33872222990916[/C][C]2.84189143572985[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 50 )[/C][C]3.78423057333333[/C][C]1.32500851666954[/C][C]2.85600471674336[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 50 )[/C][C]3.77341457333333[/C][C]1.31942411439061[/C][C]2.85989511043318[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 50 )[/C][C]3.65192724[/C][C]1.30797022049751[/C][C]2.7920568700799[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 50 )[/C][C]3.74889390666667[/C][C]1.28464081437395[/C][C]2.91824287747982[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 50 )[/C][C]0.203135716216216[/C][C]3.01493515055021[/C][C]0.0673764794506924[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 50 )[/C][C]0.329496479452055[/C][C]2.91529786358429[/C][C]0.113023263786482[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 50 )[/C][C]0.436242958333334[/C][C]2.82498764046568[/C][C]0.15442296174486[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 50 )[/C][C]0.544245676056338[/C][C]2.73766986519506[/C][C]0.198798870154331[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 50 )[/C][C]0.696027757142857[/C][C]2.65323048740685[/C][C]0.262332187288834[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 50 )[/C][C]0.847258594202899[/C][C]2.56473409070778[/C][C]0.330349488187715[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 50 )[/C][C]1.06854475[/C][C]2.48259968946529[/C][C]0.430413632344467[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 50 )[/C][C]1.304129[/C][C]2.40586046754139[/C][C]0.542063439503091[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 50 )[/C][C]1.58675216666667[/C][C]2.33181374118396[/C][C]0.680479807903099[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 50 )[/C][C]1.79703604615385[/C][C]2.27695662938872[/C][C]0.789227174096982[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 50 )[/C][C]2.000124109375[/C][C]2.22828486352088[/C][C]0.897607008026179[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 50 )[/C][C]2.21013401587302[/C][C]2.17761063999267[/C][C]1.01493534945277[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 50 )[/C][C]2.4282579516129[/C][C]2.12366776116679[/C][C]1.14342647942198[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 50 )[/C][C]2.62292119672131[/C][C]2.07209329854669[/C][C]1.26583161026628[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 50 )[/C][C]2.69093571666667[/C][C]2.0538302241368[/C][C]1.31020358208899[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 50 )[/C][C]2.76029818644068[/C][C]2.03387009946035[/C][C]1.35716542918502[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 50 )[/C][C]2.83874125862069[/C][C]2.01339385045105[/C][C]1.40992844394788[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 50 )[/C][C]2.93219373684211[/C][C]1.99578661860784[/C][C]1.46919200154145[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 50 )[/C][C]3.02767933928571[/C][C]1.97721157714679[/C][C]1.53128748297883[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 50 )[/C][C]3.12752987272727[/C][C]1.95858539725048[/C][C]1.59683099706441[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 50 )[/C][C]3.22211838888889[/C][C]1.93992662855064[/C][C]1.66094858509994[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 50 )[/C][C]3.32328383018868[/C][C]1.92051951765902[/C][C]1.73040877722479[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 50 )[/C][C]3.41204313461538[/C][C]1.90427490459015[/C][C]1.7917807593803[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 50 )[/C][C]3.50367731372549[/C][C]1.88627146543423[/C][C]1.85746186481113[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 50 )[/C][C]3.60000386[/C][C]1.86610607753982[/C][C]1.92915285113163[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 50 )[/C][C]3.66317740816327[/C][C]1.85114069929234[/C][C]1.9788757329811[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 50 )[/C][C]3.7475425625[/C][C]1.83757475111156[/C][C]2.03939598116109[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 50 )[/C][C]3.83140410638298[/C][C]1.82317004727595[/C][C]2.10150672018092[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 50 )[/C][C]3.91649115217391[/C][C]1.80851469927322[/C][C]2.16558436254227[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 50 )[/C][C]3.99607317777778[/C][C]1.79387475014154[/C][C]2.22762106298808[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 50 )[/C][C]4.08057711363636[/C][C]1.77856499624553[/C][C]2.29430868270222[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 50 )[/C][C]4.16683704651163[/C][C]1.76483834687158[/C][C]2.36103043312603[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 50 )[/C][C]4.25392245238095[/C][C]1.75114561643205[/C][C]2.42922256862241[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 50 )[/C][C]4.34785348780488[/C][C]1.73726886922625[/C][C]2.5026946403186[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 50 )[/C][C]4.434902325[/C][C]1.72430097179867[/C][C]2.57200013079725[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 50 )[/C][C]4.53429212820513[/C][C]1.71022036034341[/C][C]2.65129116302571[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 50 )[/C][C]4.63617481578947[/C][C]1.69601192525311[/C][C]2.7335744205322[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 50 )[/C][C]4.72695791891892[/C][C]1.68464795084398[/C][C]2.80590251307449[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 50 )[/C][C]4.81267341666667[/C][C]1.67306503115068[/C][C]2.87656087902133[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 50 )[/C][C]4.89595122857143[/C][C]1.66061013460015[/C][C]2.94828456514888[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 50 )[/C][C]4.97342038235294[/C][C]1.6496067300662[/C][C]3.01491276175465[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 50 )[/C][C]5.06853463636364[/C][C]1.63826860766256[/C][C]3.09383614668372[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 50 )[/C][C]5.17192009375[/C][C]1.62491362566891[/C][C]3.18288923918705[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 50 )[/C][C]5.28180783870968[/C][C]1.60829137873461[/C][C]3.2841112677389[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 50 )[/C][C]5.39057143333333[/C][C]1.59369106643995[/C][C]3.38244440647773[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 50 )[/C][C]5.49231182758621[/C][C]1.57943349178857[/C][C]3.47739354404006[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 50 )[/C][C]5.59059260714286[/C][C]1.56523443495774[/C][C]3.57172860645235[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 50 )[/C][C]5.69735159259259[/C][C]1.5482602378787[/C][C]3.6798410585023[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 50 )[/C][C]5.81297280769231[/C][C]1.52661112447883[/C][C]3.80776264137128[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 50 )[/C][C]5.94528172[/C][C]1.49982736880229[/C][C]3.96397735077183[/C][/ROW]
[ROW][C]Median[/C][C]8.45777[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]-15.032[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]4.37668914666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]4.63617481578947[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]4.63617481578947[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]4.63617481578947[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]4.72695791891892[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]4.63617481578947[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]4.63617481578947[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]4.63617481578947[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]150[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269827&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269827&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Central Tendency - Ungrouped Data
Measure	Value	S.E.	Value/S.E.
Arithmetic Mean	5.73333333475645e-07	3.1890835668285	1.79779965454407e-07
Geometric Mean	NaN
Harmonic Mean	109.271530006499
Quadratic Mean	38.9277259217145
Winsorized Mean ( 1 / 50 )	0.0801445733333335	3.10580921642012	0.0258047316331012
Winsorized Mean ( 2 / 50 )	0.12454324	3.07321754371796	0.0405253576189496
Winsorized Mean ( 3 / 50 )	0.12951524	3.04432908895348	0.0425431141692117
Winsorized Mean ( 4 / 50 )	-0.0224074266666666	3.00842990972101	-0.00744821296792138
Winsorized Mean ( 5 / 50 )	0.000365906666667115	2.9918148275585	0.000122302578119688
Winsorized Mean ( 6 / 50 )	-0.356538093333333	2.92578359800457	-0.121860719151101
Winsorized Mean ( 7 / 50 )	-0.404642093333334	2.85982272009343	-0.141492019938954
Winsorized Mean ( 8 / 50 )	-0.685538093333333	2.80260243852708	-0.244607684596757
Winsorized Mean ( 9 / 50 )	-0.0534620933333338	2.65268309935082	-0.0201539691440781
Winsorized Mean ( 10 / 50 )	0.0640179066666663	2.57969727693166	0.0248160538987002
Winsorized Mean ( 11 / 50 )	0.0596325733333337	2.55941937086487	0.0232992584225003
Winsorized Mean ( 12 / 50 )	0.0463445733333337	2.54461030010638	0.0182128372786183
Winsorized Mean ( 13 / 50 )	0.370018573333333	2.48796869128532	0.148723163048397
Winsorized Mean ( 14 / 50 )	1.86115857333333	2.19134224785623	0.849323548228984
Winsorized Mean ( 15 / 50 )	1.87245857333333	2.18818646406326	0.855712529112509
Winsorized Mean ( 16 / 50 )	1.78969590666667	2.17252120960042	0.823787541754696
Winsorized Mean ( 17 / 50 )	1.63133524	2.12435473004749	0.767920355732461
Winsorized Mean ( 18 / 50 )	1.64886724	2.11338219125875	0.780203054052387
Winsorized Mean ( 19 / 50 )	1.63642857333333	2.09207948601541	0.7822019116731
Winsorized Mean ( 20 / 50 )	1.76545524	2.07041243359363	0.852707031388761
Winsorized Mean ( 21 / 50 )	1.72082324	2.05414082051794	0.837733821757215
Winsorized Mean ( 22 / 50 )	1.96940857333333	1.99910155147375	0.985146838529276
Winsorized Mean ( 23 / 50 )	1.97888457333333	1.99420045497612	0.992319788311869
Winsorized Mean ( 24 / 50 )	1.96245257333333	1.99083669039803	0.985742619069865
Winsorized Mean ( 25 / 50 )	2.56816924	1.91342180624426	1.34218666873088
Winsorized Mean ( 26 / 50 )	2.25934124	1.87432104455803	1.20541848823596
Winsorized Mean ( 27 / 50 )	2.32860524	1.86074978943793	1.25143383232809
Winsorized Mean ( 28 / 50 )	2.37017590666667	1.83955556586491	1.28845029236845
Winsorized Mean ( 29 / 50 )	2.53176390666667	1.8154831693878	1.39454000420197
Winsorized Mean ( 30 / 50 )	2.50880390666667	1.79686990171223	1.3962078747471
Winsorized Mean ( 31 / 50 )	2.54745057333333	1.75447459623134	1.45197347331521
Winsorized Mean ( 32 / 50 )	2.60626657333333	1.72896786444424	1.50741180731609
Winsorized Mean ( 33 / 50 )	2.55940657333333	1.70444554043559	1.50160654160839
Winsorized Mean ( 34 / 50 )	2.76936790666667	1.67010682580028	1.65819806486908
Winsorized Mean ( 35 / 50 )	2.62600790666667	1.65360886892498	1.58804657861677
Winsorized Mean ( 36 / 50 )	2.67595190666667	1.62711307265971	1.64460107390846
Winsorized Mean ( 37 / 50 )	2.97908057333333	1.57377638700493	1.89295035681839
Winsorized Mean ( 38 / 50 )	3.16350724	1.55113498119989	2.03947901268583
Winsorized Mean ( 39 / 50 )	3.29701724	1.53340095320863	2.15013381405628
Winsorized Mean ( 40 / 50 )	3.49117724	1.49373680158792	2.33721043512398
Winsorized Mean ( 41 / 50 )	3.25755924	1.46801864064725	2.2190176267542
Winsorized Mean ( 42 / 50 )	3.21586724	1.45681174168939	2.20746933043711
Winsorized Mean ( 43 / 50 )	3.21884857333333	1.45268760935196	2.2157885512421
Winsorized Mean ( 44 / 50 )	3.36756857333333	1.40350391213882	2.39940091666823
Winsorized Mean ( 45 / 50 )	3.62028857333333	1.37033312190342	2.64190401258394
Winsorized Mean ( 46 / 50 )	3.80450324	1.33872222990916	2.84189143572985
Winsorized Mean ( 47 / 50 )	3.78423057333333	1.32500851666954	2.85600471674336
Winsorized Mean ( 48 / 50 )	3.77341457333333	1.31942411439061	2.85989511043318
Winsorized Mean ( 49 / 50 )	3.65192724	1.30797022049751	2.7920568700799
Winsorized Mean ( 50 / 50 )	3.74889390666667	1.28464081437395	2.91824287747982
Trimmed Mean ( 1 / 50 )	0.203135716216216	3.01493515055021	0.0673764794506924
Trimmed Mean ( 2 / 50 )	0.329496479452055	2.91529786358429	0.113023263786482
Trimmed Mean ( 3 / 50 )	0.436242958333334	2.82498764046568	0.15442296174486
Trimmed Mean ( 4 / 50 )	0.544245676056338	2.73766986519506	0.198798870154331
Trimmed Mean ( 5 / 50 )	0.696027757142857	2.65323048740685	0.262332187288834
Trimmed Mean ( 6 / 50 )	0.847258594202899	2.56473409070778	0.330349488187715
Trimmed Mean ( 7 / 50 )	1.06854475	2.48259968946529	0.430413632344467
Trimmed Mean ( 8 / 50 )	1.304129	2.40586046754139	0.542063439503091
Trimmed Mean ( 9 / 50 )	1.58675216666667	2.33181374118396	0.680479807903099
Trimmed Mean ( 10 / 50 )	1.79703604615385	2.27695662938872	0.789227174096982
Trimmed Mean ( 11 / 50 )	2.000124109375	2.22828486352088	0.897607008026179
Trimmed Mean ( 12 / 50 )	2.21013401587302	2.17761063999267	1.01493534945277
Trimmed Mean ( 13 / 50 )	2.4282579516129	2.12366776116679	1.14342647942198
Trimmed Mean ( 14 / 50 )	2.62292119672131	2.07209329854669	1.26583161026628
Trimmed Mean ( 15 / 50 )	2.69093571666667	2.0538302241368	1.31020358208899
Trimmed Mean ( 16 / 50 )	2.76029818644068	2.03387009946035	1.35716542918502
Trimmed Mean ( 17 / 50 )	2.83874125862069	2.01339385045105	1.40992844394788
Trimmed Mean ( 18 / 50 )	2.93219373684211	1.99578661860784	1.46919200154145
Trimmed Mean ( 19 / 50 )	3.02767933928571	1.97721157714679	1.53128748297883
Trimmed Mean ( 20 / 50 )	3.12752987272727	1.95858539725048	1.59683099706441
Trimmed Mean ( 21 / 50 )	3.22211838888889	1.93992662855064	1.66094858509994
Trimmed Mean ( 22 / 50 )	3.32328383018868	1.92051951765902	1.73040877722479
Trimmed Mean ( 23 / 50 )	3.41204313461538	1.90427490459015	1.7917807593803
Trimmed Mean ( 24 / 50 )	3.50367731372549	1.88627146543423	1.85746186481113
Trimmed Mean ( 25 / 50 )	3.60000386	1.86610607753982	1.92915285113163
Trimmed Mean ( 26 / 50 )	3.66317740816327	1.85114069929234	1.9788757329811
Trimmed Mean ( 27 / 50 )	3.7475425625	1.83757475111156	2.03939598116109
Trimmed Mean ( 28 / 50 )	3.83140410638298	1.82317004727595	2.10150672018092
Trimmed Mean ( 29 / 50 )	3.91649115217391	1.80851469927322	2.16558436254227
Trimmed Mean ( 30 / 50 )	3.99607317777778	1.79387475014154	2.22762106298808
Trimmed Mean ( 31 / 50 )	4.08057711363636	1.77856499624553	2.29430868270222
Trimmed Mean ( 32 / 50 )	4.16683704651163	1.76483834687158	2.36103043312603
Trimmed Mean ( 33 / 50 )	4.25392245238095	1.75114561643205	2.42922256862241
Trimmed Mean ( 34 / 50 )	4.34785348780488	1.73726886922625	2.5026946403186
Trimmed Mean ( 35 / 50 )	4.434902325	1.72430097179867	2.57200013079725
Trimmed Mean ( 36 / 50 )	4.53429212820513	1.71022036034341	2.65129116302571
Trimmed Mean ( 37 / 50 )	4.63617481578947	1.69601192525311	2.7335744205322
Trimmed Mean ( 38 / 50 )	4.72695791891892	1.68464795084398	2.80590251307449
Trimmed Mean ( 39 / 50 )	4.81267341666667	1.67306503115068	2.87656087902133
Trimmed Mean ( 40 / 50 )	4.89595122857143	1.66061013460015	2.94828456514888
Trimmed Mean ( 41 / 50 )	4.97342038235294	1.6496067300662	3.01491276175465
Trimmed Mean ( 42 / 50 )	5.06853463636364	1.63826860766256	3.09383614668372
Trimmed Mean ( 43 / 50 )	5.17192009375	1.62491362566891	3.18288923918705
Trimmed Mean ( 44 / 50 )	5.28180783870968	1.60829137873461	3.2841112677389
Trimmed Mean ( 45 / 50 )	5.39057143333333	1.59369106643995	3.38244440647773
Trimmed Mean ( 46 / 50 )	5.49231182758621	1.57943349178857	3.47739354404006
Trimmed Mean ( 47 / 50 )	5.59059260714286	1.56523443495774	3.57172860645235
Trimmed Mean ( 48 / 50 )	5.69735159259259	1.5482602378787	3.6798410585023
Trimmed Mean ( 49 / 50 )	5.81297280769231	1.52661112447883	3.80776264137128
Trimmed Mean ( 50 / 50 )	5.94528172	1.49982736880229	3.96397735077183
Median	8.45777
Midrange	-15.032
Midmean - Weighted Average at Xnp	4.37668914666667
Midmean - Weighted Average at X(n+1)p	4.63617481578947
Midmean - Empirical Distribution Function	4.63617481578947
Midmean - Empirical Distribution Function - Averaging	4.63617481578947
Midmean - Empirical Distribution Function - Interpolation	4.72695791891892
Midmean - Closest Observation	4.63617481578947
Midmean - True Basic - Statistics Graphics Toolkit	4.63617481578947
Midmean - MS Excel (old versions)	4.63617481578947
Number of observations	150

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

Parameters (R input):

R code (references can be found in the software module):

geomean <- function(x) {
return(exp(mean(log(x))))
}
harmean <- function(x) {
return(1/mean(1/x))
}
quamean <- function(x) {
return(sqrt(mean(x*x)))
}
winmean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
win <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
win[j,1] <- (j*x[j+1]+sum(x[(j+1):(n-j)])+j*x[n-j])/n
win[j,2] <- sd(c(rep(x[j+1],j),x[(j+1):(n-j)],rep(x[n-j],j)))/sqrtn
}
return(win)
}
trimean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
tri <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
tri[j,1] <- mean(x,trim=j/n)
tri[j,2] <- sd(x[(j+1):(n-j)]) / sqrt(n-j*2)
}
return(tri)
}
midrange <- function(x) {
return((max(x)+min(x))/2)
}
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
midmean <- function(x,def) {
x <-sort(x[!is.na(x)])
n<-length(x)
if (def==1) {
qvalue1 <- q1(x,n,0.25,i,f)
qvalue3 <- q1(x,n,0.75,i,f)
}
if (def==2) {
qvalue1 <- q2(x,n,0.25,i,f)
qvalue3 <- q2(x,n,0.75,i,f)
}
if (def==3) {
qvalue1 <- q3(x,n,0.25,i,f)
qvalue3 <- q3(x,n,0.75,i,f)
}
if (def==4) {
qvalue1 <- q4(x,n,0.25,i,f)
qvalue3 <- q4(x,n,0.75,i,f)
}
if (def==5) {
qvalue1 <- q5(x,n,0.25,i,f)
qvalue3 <- q5(x,n,0.75,i,f)
}
if (def==6) {
qvalue1 <- q6(x,n,0.25,i,f)
qvalue3 <- q6(x,n,0.75,i,f)
}
if (def==7) {
qvalue1 <- q7(x,n,0.25,i,f)
qvalue3 <- q7(x,n,0.75,i,f)
}
if (def==8) {
qvalue1 <- q8(x,n,0.25,i,f)
qvalue3 <- q8(x,n,0.75,i,f)
}
midm <- 0
myn <- 0
roundno4 <- round(n/4)
round3no4 <- round(3*n/4)
for (i in 1:n) {
if ((x[i]>=qvalue1) & (x[i]<=qvalue3)){
midm = midm + x[i]
myn = myn + 1
}
}
midm = midm / myn
return(midm)
}
(arm <- mean(x))
sqrtn <- sqrt(length(x))
(armse <- sd(x) / sqrtn)
(armose <- arm / armse)
(geo <- geomean(x))
(har <- harmean(x))
(qua <- quamean(x))
(win <- winmean(x))
(tri <- trimean(x))
(midr <- midrange(x))
midm <- array(NA,dim=8)
for (j in 1:8) midm[j] <- midmean(x,j)
midm
bitmap(file='test1.png')
lb <- win[,1] - 2*win[,2]
ub <- win[,1] + 2*win[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(win[,1],type='b',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(win[,1],type='l',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
bitmap(file='test2.png')
lb <- tri[,1] - 2*tri[,2]
ub <- tri[,1] + 2*tri[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(tri[,1],type='b',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(tri[,1],type='l',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Central Tendency - Ungrouped Data',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Measure',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.element(a,'S.E.',header=TRUE)
a<-table.element(a,'Value/S.E.',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('arithmetic_mean.htm', 'Arithmetic Mean', 'click to view the definition of the Arithmetic Mean'),header=TRUE)
a<-table.element(a,arm)
a<-table.element(a,hyperlink('arithmetic_mean_standard_error.htm', armse, 'click to view the definition of the Standard Error of the Arithmetic Mean'))
a<-table.element(a,armose)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('geometric_mean.htm', 'Geometric Mean', 'click to view the definition of the Geometric Mean'),header=TRUE)
a<-table.element(a,geo)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('harmonic_mean.htm', 'Harmonic Mean', 'click to view the definition of the Harmonic Mean'),header=TRUE)
a<-table.element(a,har)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('quadratic_mean.htm', 'Quadratic Mean', 'click to view the definition of the Quadratic Mean'),header=TRUE)
a<-table.element(a,qua)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
for (j in 1:length(win[,1])) {
a<-table.row.start(a)
mylabel <- paste('Winsorized Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(win[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('winsorized_mean.htm', mylabel, 'click to view the definition of the Winsorized Mean'),header=TRUE)
a<-table.element(a,win[j,1])
a<-table.element(a,win[j,2])
a<-table.element(a,win[j,1]/win[j,2])
a<-table.row.end(a)
}
for (j in 1:length(tri[,1])) {
a<-table.row.start(a)
mylabel <- paste('Trimmed Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(tri[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('arithmetic_mean.htm', mylabel, 'click to view the definition of the Trimmed Mean'),header=TRUE)
a<-table.element(a,tri[j,1])
a<-table.element(a,tri[j,2])
a<-table.element(a,tri[j,1]/tri[j,2])
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,hyperlink('median_1.htm', 'Median', 'click to view the definition of the Median'),header=TRUE)
a<-table.element(a,median(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('midrange.htm', 'Midrange', 'click to view the definition of the Midrange'),header=TRUE)
a<-table.element(a,midr)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_1.htm','Weighted Average at Xnp',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[1])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[2])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_3.htm','Empirical Distribution Function',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[3])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[4])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[5])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_6.htm','Closest Observation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[6])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[7])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_8.htm','MS Excel (old versions)',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[8])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code