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R Software Module

rwasp_centraltendency.wasp

Title produced by software

Central Tendency

Date of computation

Wed, 17 Dec 2014 15:28:45 +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/17/t14188301379hyl14rnsinb91y.htm/, Retrieved Thu, 16 May 2024 10:25:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270407, Retrieved Thu, 16 May 2024 10:25:58 +0000

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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] [paper57] [2014-12-17 15:23:15] [55a850ac261e4a7d4f206113c00d6f60]
-    D      [Central Tendency] [paper58] [2014-12-17 15:28:45] [0015a2406d94cac8c1a56a29b9122359] [Current]

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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	'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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270407&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270407&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270407&T=0

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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	'Herman Ole Andreas Wold' @ wold.wessa.net

Central Tendency - Ungrouped Data
Measure	Value	S.E.	Value/S.E.
Arithmetic Mean	8.73333333266986e-07	5.8019533224159	1.50524019194166e-07
Geometric Mean	NaN
Harmonic Mean	337.791734789579
Quadratic Mean	70.8218659099606
Winsorized Mean ( 1 / 50 )	-0.585845793333333	5.60735462043328	-0.104478106520765
Winsorized Mean ( 2 / 50 )	-0.914339126666667	5.53466796245337	-0.165202164406149
Winsorized Mean ( 3 / 50 )	-1.02697912666667	5.50329457450247	-0.186611694642842
Winsorized Mean ( 4 / 50 )	-1.07108579333333	5.47071661104637	-0.195785281798479
Winsorized Mean ( 5 / 50 )	-0.78247246	5.42854720637419	-0.14414030683591
Winsorized Mean ( 6 / 50 )	-0.956148459999999	5.3844346127673	-0.177576389865118
Winsorized Mean ( 7 / 50 )	-1.05943579333333	5.36401505294574	-0.197507982896417
Winsorized Mean ( 8 / 50 )	-1.91031046	5.21259050531355	-0.36648005594391
Winsorized Mean ( 9 / 50 )	-1.87866046	5.18705066552079	-0.362182785776082
Winsorized Mean ( 10 / 50 )	-2.26614046	5.11758608473268	-0.442814331303696
Winsorized Mean ( 11 / 50 )	-2.45296446	5.04328789659468	-0.486382001244919
Winsorized Mean ( 12 / 50 )	-2.06473246	4.97233899201153	-0.415243703882048
Winsorized Mean ( 13 / 50 )	-2.38711512666667	4.90773330908324	-0.486398705131062
Winsorized Mean ( 14 / 50 )	-2.91213379333333	4.78645378325864	-0.608411555861873
Winsorized Mean ( 15 / 50 )	-3.56602379333333	4.68763496761256	-0.760729838814546
Winsorized Mean ( 16 / 50 )	-3.80883979333333	4.62008213122743	-0.82440954189735
Winsorized Mean ( 17 / 50 )	-4.28691379333333	4.52585981084542	-0.947204282169878
Winsorized Mean ( 18 / 50 )	-4.47240979333333	4.49064875799155	-0.995938456637083
Winsorized Mean ( 19 / 50 )	-4.58434512666667	4.37277124864068	-1.0483843919555
Winsorized Mean ( 20 / 50 )	-4.40353179333333	4.32558849440366	-1.01801912017995
Winsorized Mean ( 21 / 50 )	-5.26905379333334	4.20303531701843	-1.25363062546691
Winsorized Mean ( 22 / 50 )	-5.15469779333333	4.12112197827702	-1.25079961731403
Winsorized Mean ( 23 / 50 )	-5.23525912666667	4.10770265752111	-1.27449807426568
Winsorized Mean ( 24 / 50 )	-5.24610712666666	4.07641754110823	-1.28694057312893
Winsorized Mean ( 25 / 50 )	-5.05029046	3.96023631434624	-1.27524977277365
Winsorized Mean ( 26 / 50 )	-5.09859846	3.95420121910571	-1.28941300087736
Winsorized Mean ( 27 / 50 )	-5.56287246	3.88057103280771	-1.43351903958709
Winsorized Mean ( 28 / 50 )	-5.60343512666667	3.85303717172237	-1.45429044074388
Winsorized Mean ( 29 / 50 )	-6.46253112666667	3.74107818715787	-1.72745150017201
Winsorized Mean ( 30 / 50 )	-7.57253112666667	3.60176672206741	-2.10244907874546
Winsorized Mean ( 31 / 50 )	-8.13896312666667	3.5345732695395	-2.30267206420849
Winsorized Mean ( 32 / 50 )	-7.90060579333333	3.48839776344062	-2.26482366091788
Winsorized Mean ( 33 / 50 )	-7.87726379333333	3.43555133175748	-2.29286744183318
Winsorized Mean ( 34 / 50 )	-8.49597312666667	3.34924714586409	-2.53668145605742
Winsorized Mean ( 35 / 50 )	-8.60696979333334	3.31779702192934	-2.59418214449065
Winsorized Mean ( 36 / 50 )	-8.87408979333333	3.15557869118213	-2.8121909360495
Winsorized Mean ( 37 / 50 )	-8.89670912666667	3.13233643422895	-2.84027891431038
Winsorized Mean ( 38 / 50 )	-9.85167446	3.01758378443027	-3.26475589868668
Winsorized Mean ( 39 / 50 )	-9.48161646	2.93023982229265	-3.23578172266511
Winsorized Mean ( 40 / 50 )	-10.2806297933333	2.83311896071074	-3.62873212734924
Winsorized Mean ( 41 / 50 )	-10.7759917933333	2.77997300434994	-3.87629368215867
Winsorized Mean ( 42 / 50 )	-10.7055157933333	2.74469623888825	-3.90043737505526
Winsorized Mean ( 43 / 50 )	-10.1073857933333	2.63656538699404	-3.83354262450392
Winsorized Mean ( 44 / 50 )	-9.23254846	2.48527100821324	-3.71490611264871
Winsorized Mean ( 45 / 50 )	-9.18451846	2.47519722240267	-3.71062086563131
Winsorized Mean ( 46 / 50 )	-8.57673579333333	2.3857562129755	-3.59497577610266
Winsorized Mean ( 47 / 50 )	-9.94675446	2.2420418627783	-4.43647133674576
Winsorized Mean ( 48 / 50 )	-10.00720246	2.20761590480281	-4.53303604047638
Winsorized Mean ( 49 / 50 )	-10.10706446	2.16820881652777	-4.66148111886462
Winsorized Mean ( 50 / 50 )	-11.35526446	2.00325548779929	-5.66840551749817
Trimmed Mean ( 1 / 50 )	-1.15839100675676	5.48784145075799	-0.211083176719101
Trimmed Mean ( 2 / 50 )	-1.74662239041096	5.35727360431374	-0.326028222453406
Trimmed Mean ( 3 / 50 )	-2.18010325694444	5.25654414693547	-0.414740787103525
Trimmed Mean ( 4 / 50 )	-2.58613288028169	5.15914595359513	-0.501271509576029
Trimmed Mean ( 5 / 50 )	-2.99194906428571	5.06289155356255	-0.590956577408893
Trimmed Mean ( 6 / 50 )	-3.47227006521739	4.96828789178034	-0.698886646839045
Trimmed Mean ( 7 / 50 )	-3.93479241911765	4.8746228799688	-0.807199349776742
Trimmed Mean ( 8 / 50 )	-4.39460424626866	4.77598900134253	-0.920145386648364
Trimmed Mean ( 9 / 50 )	-4.74748688636364	4.6957809473052	-1.01101114801535
Trimmed Mean ( 10 / 50 )	-5.11528514615385	4.61189528502529	-1.10915032324412
Trimmed Mean ( 11 / 50 )	-5.4491692890625	4.53069367846298	-1.2027229549783
Trimmed Mean ( 12 / 50 )	-5.77343388095238	4.45229323123173	-1.29673262319139
Trimmed Mean ( 13 / 50 )	-6.14729491129032	4.37543213651985	-1.40495720639374
Trimmed Mean ( 14 / 50 )	-6.50292351639344	4.29932421366426	-1.51254550557635
Trimmed Mean ( 15 / 50 )	-6.82352974166667	4.23097956895852	-1.61275412240913
Trimmed Mean ( 16 / 50 )	-7.09958956779661	4.16777167487941	-1.70344973804306
Trimmed Mean ( 17 / 50 )	-7.36554456034483	4.10576821728467	-1.79395040600124
Trimmed Mean ( 18 / 50 )	-7.6038286754386	4.04796874068909	-1.87843068030812
Trimmed Mean ( 19 / 50 )	-7.83682115178571	3.98764284526952	-1.96527659468862
Trimmed Mean ( 20 / 50 )	-8.07025244545455	3.93342617679601	-2.0517106671691
Trimmed Mean ( 21 / 50 )	-8.32488582407407	3.87773602491151	-2.14684180939419
Trimmed Mean ( 22 / 50 )	-8.5308044245283	3.82886258403422	-2.22802574845608
Trimmed Mean ( 23 / 50 )	-8.75214008653846	3.78235325229264	-2.31394042352692
Trimmed Mean ( 24 / 50 )	-8.97700459803922	3.73127548967382	-2.40588094416582
Trimmed Mean ( 25 / 50 )	-9.21018569	3.67681448925764	-2.50493619324797
Trimmed Mean ( 26 / 50 )	-9.46487315306122	3.62710725889123	-2.60948256488961
Trimmed Mean ( 27 / 50 )	-9.72726946875	3.57121723008792	-2.72379663348301
Trimmed Mean ( 28 / 50 )	-9.97339222340426	3.51571362158024	-2.83680450028277
Trimmed Mean ( 29 / 50 )	-10.2278540108696	3.45529459344297	-2.96005267692043
Trimmed Mean ( 30 / 50 )	-10.4442518777778	3.39891731128779	-3.07281728893271
Trimmed Mean ( 31 / 50 )	-10.6074178295455	3.34987281854891	-3.16651359741483
Trimmed Mean ( 32 / 50 )	-10.746303127907	3.30083061391171	-3.25563604585328
Trimmed Mean ( 33 / 50 )	-10.905103202381	3.24898167410485	-3.35646805560561
Trimmed Mean ( 34 / 50 )	-11.0729435243902	3.19467568586486	-3.46606185203196
Trimmed Mean ( 35 / 50 )	-11.2150558625	3.14161934598554	-3.56983282421881
Trimmed Mean ( 36 / 50 )	-11.3583572948718	3.08334533978432	-3.68377721052365
Trimmed Mean ( 37 / 50 )	-11.4945561710526	3.03419280649572	-3.78834072325418
Trimmed Mean ( 38 / 50 )	-11.6368779594595	2.97897033830404	-3.90634233910649
Trimmed Mean ( 39 / 50 )	-11.7347509583333	2.92817639900458	-4.00752870022533
Trimmed Mean ( 40 / 50 )	-11.8585495571429	2.87827831463123	-4.12001490504305
Trimmed Mean ( 41 / 50 )	-11.9455671911765	2.83120876673562	-4.21924632740867
Trimmed Mean ( 42 / 50 )	-12.010399530303	2.78157146770721	-4.31784682498305
Trimmed Mean ( 43 / 50 )	-12.083216703125	2.72624027888062	-4.43219066079029
Trimmed Mean ( 44 / 50 )	-12.194384983871	2.67372393901038	-4.56082425188011
Trimmed Mean ( 45 / 50 )	-12.36267115	2.62980574922704	-4.7009826309923
Trimmed Mean ( 46 / 50 )	-12.5453236034483	2.57658119112091	-4.86898051056198
Trimmed Mean ( 47 / 50 )	-12.7764137321429	2.52295080555051	-5.0640756466732
Trimmed Mean ( 48 / 50 )	-12.9436512777778	2.48016227645413	-5.21887273290973
Trimmed Mean ( 49 / 50 )	-13.1201205576923	2.43107812900782	-5.39683213021498
Trimmed Mean ( 50 / 50 )	-13.30459338	2.37502148958431	-5.60188336751792
Median	-14.4834
Midrange	85.721
Midmean - Weighted Average at Xnp	-12.1958395866667
Midmean - Weighted Average at X(n+1)p	-11.4945561710526
Midmean - Empirical Distribution Function	-11.4945561710526
Midmean - Empirical Distribution Function - Averaging	-11.4945561710526
Midmean - Empirical Distribution Function - Interpolation	-11.6368779594595
Midmean - Closest Observation	-11.4945561710526
Midmean - True Basic - Statistics Graphics Toolkit	-11.4945561710526
Midmean - MS Excel (old versions)	-11.4945561710526
Number of observations	150

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 8.73333333266986e-07 & 5.8019533224159 & 1.50524019194166e-07 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & 337.791734789579 &  &  \tabularnewline
Quadratic Mean & 70.8218659099606 &  &  \tabularnewline
Winsorized Mean ( 1 / 50 ) & -0.585845793333333 & 5.60735462043328 & -0.104478106520765 \tabularnewline
Winsorized Mean ( 2 / 50 ) & -0.914339126666667 & 5.53466796245337 & -0.165202164406149 \tabularnewline
Winsorized Mean ( 3 / 50 ) & -1.02697912666667 & 5.50329457450247 & -0.186611694642842 \tabularnewline
Winsorized Mean ( 4 / 50 ) & -1.07108579333333 & 5.47071661104637 & -0.195785281798479 \tabularnewline
Winsorized Mean ( 5 / 50 ) & -0.78247246 & 5.42854720637419 & -0.14414030683591 \tabularnewline
Winsorized Mean ( 6 / 50 ) & -0.956148459999999 & 5.3844346127673 & -0.177576389865118 \tabularnewline
Winsorized Mean ( 7 / 50 ) & -1.05943579333333 & 5.36401505294574 & -0.197507982896417 \tabularnewline
Winsorized Mean ( 8 / 50 ) & -1.91031046 & 5.21259050531355 & -0.36648005594391 \tabularnewline
Winsorized Mean ( 9 / 50 ) & -1.87866046 & 5.18705066552079 & -0.362182785776082 \tabularnewline
Winsorized Mean ( 10 / 50 ) & -2.26614046 & 5.11758608473268 & -0.442814331303696 \tabularnewline
Winsorized Mean ( 11 / 50 ) & -2.45296446 & 5.04328789659468 & -0.486382001244919 \tabularnewline
Winsorized Mean ( 12 / 50 ) & -2.06473246 & 4.97233899201153 & -0.415243703882048 \tabularnewline
Winsorized Mean ( 13 / 50 ) & -2.38711512666667 & 4.90773330908324 & -0.486398705131062 \tabularnewline
Winsorized Mean ( 14 / 50 ) & -2.91213379333333 & 4.78645378325864 & -0.608411555861873 \tabularnewline
Winsorized Mean ( 15 / 50 ) & -3.56602379333333 & 4.68763496761256 & -0.760729838814546 \tabularnewline
Winsorized Mean ( 16 / 50 ) & -3.80883979333333 & 4.62008213122743 & -0.82440954189735 \tabularnewline
Winsorized Mean ( 17 / 50 ) & -4.28691379333333 & 4.52585981084542 & -0.947204282169878 \tabularnewline
Winsorized Mean ( 18 / 50 ) & -4.47240979333333 & 4.49064875799155 & -0.995938456637083 \tabularnewline
Winsorized Mean ( 19 / 50 ) & -4.58434512666667 & 4.37277124864068 & -1.0483843919555 \tabularnewline
Winsorized Mean ( 20 / 50 ) & -4.40353179333333 & 4.32558849440366 & -1.01801912017995 \tabularnewline
Winsorized Mean ( 21 / 50 ) & -5.26905379333334 & 4.20303531701843 & -1.25363062546691 \tabularnewline
Winsorized Mean ( 22 / 50 ) & -5.15469779333333 & 4.12112197827702 & -1.25079961731403 \tabularnewline
Winsorized Mean ( 23 / 50 ) & -5.23525912666667 & 4.10770265752111 & -1.27449807426568 \tabularnewline
Winsorized Mean ( 24 / 50 ) & -5.24610712666666 & 4.07641754110823 & -1.28694057312893 \tabularnewline
Winsorized Mean ( 25 / 50 ) & -5.05029046 & 3.96023631434624 & -1.27524977277365 \tabularnewline
Winsorized Mean ( 26 / 50 ) & -5.09859846 & 3.95420121910571 & -1.28941300087736 \tabularnewline
Winsorized Mean ( 27 / 50 ) & -5.56287246 & 3.88057103280771 & -1.43351903958709 \tabularnewline
Winsorized Mean ( 28 / 50 ) & -5.60343512666667 & 3.85303717172237 & -1.45429044074388 \tabularnewline
Winsorized Mean ( 29 / 50 ) & -6.46253112666667 & 3.74107818715787 & -1.72745150017201 \tabularnewline
Winsorized Mean ( 30 / 50 ) & -7.57253112666667 & 3.60176672206741 & -2.10244907874546 \tabularnewline
Winsorized Mean ( 31 / 50 ) & -8.13896312666667 & 3.5345732695395 & -2.30267206420849 \tabularnewline
Winsorized Mean ( 32 / 50 ) & -7.90060579333333 & 3.48839776344062 & -2.26482366091788 \tabularnewline
Winsorized Mean ( 33 / 50 ) & -7.87726379333333 & 3.43555133175748 & -2.29286744183318 \tabularnewline
Winsorized Mean ( 34 / 50 ) & -8.49597312666667 & 3.34924714586409 & -2.53668145605742 \tabularnewline
Winsorized Mean ( 35 / 50 ) & -8.60696979333334 & 3.31779702192934 & -2.59418214449065 \tabularnewline
Winsorized Mean ( 36 / 50 ) & -8.87408979333333 & 3.15557869118213 & -2.8121909360495 \tabularnewline
Winsorized Mean ( 37 / 50 ) & -8.89670912666667 & 3.13233643422895 & -2.84027891431038 \tabularnewline
Winsorized Mean ( 38 / 50 ) & -9.85167446 & 3.01758378443027 & -3.26475589868668 \tabularnewline
Winsorized Mean ( 39 / 50 ) & -9.48161646 & 2.93023982229265 & -3.23578172266511 \tabularnewline
Winsorized Mean ( 40 / 50 ) & -10.2806297933333 & 2.83311896071074 & -3.62873212734924 \tabularnewline
Winsorized Mean ( 41 / 50 ) & -10.7759917933333 & 2.77997300434994 & -3.87629368215867 \tabularnewline
Winsorized Mean ( 42 / 50 ) & -10.7055157933333 & 2.74469623888825 & -3.90043737505526 \tabularnewline
Winsorized Mean ( 43 / 50 ) & -10.1073857933333 & 2.63656538699404 & -3.83354262450392 \tabularnewline
Winsorized Mean ( 44 / 50 ) & -9.23254846 & 2.48527100821324 & -3.71490611264871 \tabularnewline
Winsorized Mean ( 45 / 50 ) & -9.18451846 & 2.47519722240267 & -3.71062086563131 \tabularnewline
Winsorized Mean ( 46 / 50 ) & -8.57673579333333 & 2.3857562129755 & -3.59497577610266 \tabularnewline
Winsorized Mean ( 47 / 50 ) & -9.94675446 & 2.2420418627783 & -4.43647133674576 \tabularnewline
Winsorized Mean ( 48 / 50 ) & -10.00720246 & 2.20761590480281 & -4.53303604047638 \tabularnewline
Winsorized Mean ( 49 / 50 ) & -10.10706446 & 2.16820881652777 & -4.66148111886462 \tabularnewline
Winsorized Mean ( 50 / 50 ) & -11.35526446 & 2.00325548779929 & -5.66840551749817 \tabularnewline
Trimmed Mean ( 1 / 50 ) & -1.15839100675676 & 5.48784145075799 & -0.211083176719101 \tabularnewline
Trimmed Mean ( 2 / 50 ) & -1.74662239041096 & 5.35727360431374 & -0.326028222453406 \tabularnewline
Trimmed Mean ( 3 / 50 ) & -2.18010325694444 & 5.25654414693547 & -0.414740787103525 \tabularnewline
Trimmed Mean ( 4 / 50 ) & -2.58613288028169 & 5.15914595359513 & -0.501271509576029 \tabularnewline
Trimmed Mean ( 5 / 50 ) & -2.99194906428571 & 5.06289155356255 & -0.590956577408893 \tabularnewline
Trimmed Mean ( 6 / 50 ) & -3.47227006521739 & 4.96828789178034 & -0.698886646839045 \tabularnewline
Trimmed Mean ( 7 / 50 ) & -3.93479241911765 & 4.8746228799688 & -0.807199349776742 \tabularnewline
Trimmed Mean ( 8 / 50 ) & -4.39460424626866 & 4.77598900134253 & -0.920145386648364 \tabularnewline
Trimmed Mean ( 9 / 50 ) & -4.74748688636364 & 4.6957809473052 & -1.01101114801535 \tabularnewline
Trimmed Mean ( 10 / 50 ) & -5.11528514615385 & 4.61189528502529 & -1.10915032324412 \tabularnewline
Trimmed Mean ( 11 / 50 ) & -5.4491692890625 & 4.53069367846298 & -1.2027229549783 \tabularnewline
Trimmed Mean ( 12 / 50 ) & -5.77343388095238 & 4.45229323123173 & -1.29673262319139 \tabularnewline
Trimmed Mean ( 13 / 50 ) & -6.14729491129032 & 4.37543213651985 & -1.40495720639374 \tabularnewline
Trimmed Mean ( 14 / 50 ) & -6.50292351639344 & 4.29932421366426 & -1.51254550557635 \tabularnewline
Trimmed Mean ( 15 / 50 ) & -6.82352974166667 & 4.23097956895852 & -1.61275412240913 \tabularnewline
Trimmed Mean ( 16 / 50 ) & -7.09958956779661 & 4.16777167487941 & -1.70344973804306 \tabularnewline
Trimmed Mean ( 17 / 50 ) & -7.36554456034483 & 4.10576821728467 & -1.79395040600124 \tabularnewline
Trimmed Mean ( 18 / 50 ) & -7.6038286754386 & 4.04796874068909 & -1.87843068030812 \tabularnewline
Trimmed Mean ( 19 / 50 ) & -7.83682115178571 & 3.98764284526952 & -1.96527659468862 \tabularnewline
Trimmed Mean ( 20 / 50 ) & -8.07025244545455 & 3.93342617679601 & -2.0517106671691 \tabularnewline
Trimmed Mean ( 21 / 50 ) & -8.32488582407407 & 3.87773602491151 & -2.14684180939419 \tabularnewline
Trimmed Mean ( 22 / 50 ) & -8.5308044245283 & 3.82886258403422 & -2.22802574845608 \tabularnewline
Trimmed Mean ( 23 / 50 ) & -8.75214008653846 & 3.78235325229264 & -2.31394042352692 \tabularnewline
Trimmed Mean ( 24 / 50 ) & -8.97700459803922 & 3.73127548967382 & -2.40588094416582 \tabularnewline
Trimmed Mean ( 25 / 50 ) & -9.21018569 & 3.67681448925764 & -2.50493619324797 \tabularnewline
Trimmed Mean ( 26 / 50 ) & -9.46487315306122 & 3.62710725889123 & -2.60948256488961 \tabularnewline
Trimmed Mean ( 27 / 50 ) & -9.72726946875 & 3.57121723008792 & -2.72379663348301 \tabularnewline
Trimmed Mean ( 28 / 50 ) & -9.97339222340426 & 3.51571362158024 & -2.83680450028277 \tabularnewline
Trimmed Mean ( 29 / 50 ) & -10.2278540108696 & 3.45529459344297 & -2.96005267692043 \tabularnewline
Trimmed Mean ( 30 / 50 ) & -10.4442518777778 & 3.39891731128779 & -3.07281728893271 \tabularnewline
Trimmed Mean ( 31 / 50 ) & -10.6074178295455 & 3.34987281854891 & -3.16651359741483 \tabularnewline
Trimmed Mean ( 32 / 50 ) & -10.746303127907 & 3.30083061391171 & -3.25563604585328 \tabularnewline
Trimmed Mean ( 33 / 50 ) & -10.905103202381 & 3.24898167410485 & -3.35646805560561 \tabularnewline
Trimmed Mean ( 34 / 50 ) & -11.0729435243902 & 3.19467568586486 & -3.46606185203196 \tabularnewline
Trimmed Mean ( 35 / 50 ) & -11.2150558625 & 3.14161934598554 & -3.56983282421881 \tabularnewline
Trimmed Mean ( 36 / 50 ) & -11.3583572948718 & 3.08334533978432 & -3.68377721052365 \tabularnewline
Trimmed Mean ( 37 / 50 ) & -11.4945561710526 & 3.03419280649572 & -3.78834072325418 \tabularnewline
Trimmed Mean ( 38 / 50 ) & -11.6368779594595 & 2.97897033830404 & -3.90634233910649 \tabularnewline
Trimmed Mean ( 39 / 50 ) & -11.7347509583333 & 2.92817639900458 & -4.00752870022533 \tabularnewline
Trimmed Mean ( 40 / 50 ) & -11.8585495571429 & 2.87827831463123 & -4.12001490504305 \tabularnewline
Trimmed Mean ( 41 / 50 ) & -11.9455671911765 & 2.83120876673562 & -4.21924632740867 \tabularnewline
Trimmed Mean ( 42 / 50 ) & -12.010399530303 & 2.78157146770721 & -4.31784682498305 \tabularnewline
Trimmed Mean ( 43 / 50 ) & -12.083216703125 & 2.72624027888062 & -4.43219066079029 \tabularnewline
Trimmed Mean ( 44 / 50 ) & -12.194384983871 & 2.67372393901038 & -4.56082425188011 \tabularnewline
Trimmed Mean ( 45 / 50 ) & -12.36267115 & 2.62980574922704 & -4.7009826309923 \tabularnewline
Trimmed Mean ( 46 / 50 ) & -12.5453236034483 & 2.57658119112091 & -4.86898051056198 \tabularnewline
Trimmed Mean ( 47 / 50 ) & -12.7764137321429 & 2.52295080555051 & -5.0640756466732 \tabularnewline
Trimmed Mean ( 48 / 50 ) & -12.9436512777778 & 2.48016227645413 & -5.21887273290973 \tabularnewline
Trimmed Mean ( 49 / 50 ) & -13.1201205576923 & 2.43107812900782 & -5.39683213021498 \tabularnewline
Trimmed Mean ( 50 / 50 ) & -13.30459338 & 2.37502148958431 & -5.60188336751792 \tabularnewline
Median & -14.4834 &  &  \tabularnewline
Midrange & 85.721 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & -12.1958395866667 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & -11.4945561710526 &  &  \tabularnewline
Midmean - Empirical Distribution Function & -11.4945561710526 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & -11.4945561710526 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & -11.6368779594595 &  &  \tabularnewline
Midmean - Closest Observation & -11.4945561710526 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & -11.4945561710526 &  &  \tabularnewline
Midmean - MS Excel (old versions) & -11.4945561710526 &  &  \tabularnewline
Number of observations & 150 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270407&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]8.73333333266986e-07[/C][C]5.8019533224159[/C][C]1.50524019194166e-07[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]337.791734789579[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]70.8218659099606[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 50 )[/C][C]-0.585845793333333[/C][C]5.60735462043328[/C][C]-0.104478106520765[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 50 )[/C][C]-0.914339126666667[/C][C]5.53466796245337[/C][C]-0.165202164406149[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 50 )[/C][C]-1.02697912666667[/C][C]5.50329457450247[/C][C]-0.186611694642842[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 50 )[/C][C]-1.07108579333333[/C][C]5.47071661104637[/C][C]-0.195785281798479[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 50 )[/C][C]-0.78247246[/C][C]5.42854720637419[/C][C]-0.14414030683591[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 50 )[/C][C]-0.956148459999999[/C][C]5.3844346127673[/C][C]-0.177576389865118[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 50 )[/C][C]-1.05943579333333[/C][C]5.36401505294574[/C][C]-0.197507982896417[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 50 )[/C][C]-1.91031046[/C][C]5.21259050531355[/C][C]-0.36648005594391[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 50 )[/C][C]-1.87866046[/C][C]5.18705066552079[/C][C]-0.362182785776082[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 50 )[/C][C]-2.26614046[/C][C]5.11758608473268[/C][C]-0.442814331303696[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 50 )[/C][C]-2.45296446[/C][C]5.04328789659468[/C][C]-0.486382001244919[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 50 )[/C][C]-2.06473246[/C][C]4.97233899201153[/C][C]-0.415243703882048[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 50 )[/C][C]-2.38711512666667[/C][C]4.90773330908324[/C][C]-0.486398705131062[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 50 )[/C][C]-2.91213379333333[/C][C]4.78645378325864[/C][C]-0.608411555861873[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 50 )[/C][C]-3.56602379333333[/C][C]4.68763496761256[/C][C]-0.760729838814546[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 50 )[/C][C]-3.80883979333333[/C][C]4.62008213122743[/C][C]-0.82440954189735[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 50 )[/C][C]-4.28691379333333[/C][C]4.52585981084542[/C][C]-0.947204282169878[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 50 )[/C][C]-4.47240979333333[/C][C]4.49064875799155[/C][C]-0.995938456637083[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 50 )[/C][C]-4.58434512666667[/C][C]4.37277124864068[/C][C]-1.0483843919555[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 50 )[/C][C]-4.40353179333333[/C][C]4.32558849440366[/C][C]-1.01801912017995[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 50 )[/C][C]-5.26905379333334[/C][C]4.20303531701843[/C][C]-1.25363062546691[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 50 )[/C][C]-5.15469779333333[/C][C]4.12112197827702[/C][C]-1.25079961731403[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 50 )[/C][C]-5.23525912666667[/C][C]4.10770265752111[/C][C]-1.27449807426568[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 50 )[/C][C]-5.24610712666666[/C][C]4.07641754110823[/C][C]-1.28694057312893[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 50 )[/C][C]-5.05029046[/C][C]3.96023631434624[/C][C]-1.27524977277365[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 50 )[/C][C]-5.09859846[/C][C]3.95420121910571[/C][C]-1.28941300087736[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 50 )[/C][C]-5.56287246[/C][C]3.88057103280771[/C][C]-1.43351903958709[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 50 )[/C][C]-5.60343512666667[/C][C]3.85303717172237[/C][C]-1.45429044074388[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 50 )[/C][C]-6.46253112666667[/C][C]3.74107818715787[/C][C]-1.72745150017201[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 50 )[/C][C]-7.57253112666667[/C][C]3.60176672206741[/C][C]-2.10244907874546[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 50 )[/C][C]-8.13896312666667[/C][C]3.5345732695395[/C][C]-2.30267206420849[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 50 )[/C][C]-7.90060579333333[/C][C]3.48839776344062[/C][C]-2.26482366091788[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 50 )[/C][C]-7.87726379333333[/C][C]3.43555133175748[/C][C]-2.29286744183318[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 50 )[/C][C]-8.49597312666667[/C][C]3.34924714586409[/C][C]-2.53668145605742[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 50 )[/C][C]-8.60696979333334[/C][C]3.31779702192934[/C][C]-2.59418214449065[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 50 )[/C][C]-8.87408979333333[/C][C]3.15557869118213[/C][C]-2.8121909360495[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 50 )[/C][C]-8.89670912666667[/C][C]3.13233643422895[/C][C]-2.84027891431038[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 50 )[/C][C]-9.85167446[/C][C]3.01758378443027[/C][C]-3.26475589868668[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 50 )[/C][C]-9.48161646[/C][C]2.93023982229265[/C][C]-3.23578172266511[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 50 )[/C][C]-10.2806297933333[/C][C]2.83311896071074[/C][C]-3.62873212734924[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 50 )[/C][C]-10.7759917933333[/C][C]2.77997300434994[/C][C]-3.87629368215867[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 50 )[/C][C]-10.7055157933333[/C][C]2.74469623888825[/C][C]-3.90043737505526[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 50 )[/C][C]-10.1073857933333[/C][C]2.63656538699404[/C][C]-3.83354262450392[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 50 )[/C][C]-9.23254846[/C][C]2.48527100821324[/C][C]-3.71490611264871[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 50 )[/C][C]-9.18451846[/C][C]2.47519722240267[/C][C]-3.71062086563131[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 50 )[/C][C]-8.57673579333333[/C][C]2.3857562129755[/C][C]-3.59497577610266[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 50 )[/C][C]-9.94675446[/C][C]2.2420418627783[/C][C]-4.43647133674576[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 50 )[/C][C]-10.00720246[/C][C]2.20761590480281[/C][C]-4.53303604047638[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 50 )[/C][C]-10.10706446[/C][C]2.16820881652777[/C][C]-4.66148111886462[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 50 )[/C][C]-11.35526446[/C][C]2.00325548779929[/C][C]-5.66840551749817[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 50 )[/C][C]-1.15839100675676[/C][C]5.48784145075799[/C][C]-0.211083176719101[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 50 )[/C][C]-1.74662239041096[/C][C]5.35727360431374[/C][C]-0.326028222453406[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 50 )[/C][C]-2.18010325694444[/C][C]5.25654414693547[/C][C]-0.414740787103525[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 50 )[/C][C]-2.58613288028169[/C][C]5.15914595359513[/C][C]-0.501271509576029[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 50 )[/C][C]-2.99194906428571[/C][C]5.06289155356255[/C][C]-0.590956577408893[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 50 )[/C][C]-3.47227006521739[/C][C]4.96828789178034[/C][C]-0.698886646839045[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 50 )[/C][C]-3.93479241911765[/C][C]4.8746228799688[/C][C]-0.807199349776742[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 50 )[/C][C]-4.39460424626866[/C][C]4.77598900134253[/C][C]-0.920145386648364[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 50 )[/C][C]-4.74748688636364[/C][C]4.6957809473052[/C][C]-1.01101114801535[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 50 )[/C][C]-5.11528514615385[/C][C]4.61189528502529[/C][C]-1.10915032324412[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 50 )[/C][C]-5.4491692890625[/C][C]4.53069367846298[/C][C]-1.2027229549783[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 50 )[/C][C]-5.77343388095238[/C][C]4.45229323123173[/C][C]-1.29673262319139[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 50 )[/C][C]-6.14729491129032[/C][C]4.37543213651985[/C][C]-1.40495720639374[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 50 )[/C][C]-6.50292351639344[/C][C]4.29932421366426[/C][C]-1.51254550557635[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 50 )[/C][C]-6.82352974166667[/C][C]4.23097956895852[/C][C]-1.61275412240913[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 50 )[/C][C]-7.09958956779661[/C][C]4.16777167487941[/C][C]-1.70344973804306[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 50 )[/C][C]-7.36554456034483[/C][C]4.10576821728467[/C][C]-1.79395040600124[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 50 )[/C][C]-7.6038286754386[/C][C]4.04796874068909[/C][C]-1.87843068030812[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 50 )[/C][C]-7.83682115178571[/C][C]3.98764284526952[/C][C]-1.96527659468862[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 50 )[/C][C]-8.07025244545455[/C][C]3.93342617679601[/C][C]-2.0517106671691[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 50 )[/C][C]-8.32488582407407[/C][C]3.87773602491151[/C][C]-2.14684180939419[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 50 )[/C][C]-8.5308044245283[/C][C]3.82886258403422[/C][C]-2.22802574845608[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 50 )[/C][C]-8.75214008653846[/C][C]3.78235325229264[/C][C]-2.31394042352692[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 50 )[/C][C]-8.97700459803922[/C][C]3.73127548967382[/C][C]-2.40588094416582[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 50 )[/C][C]-9.21018569[/C][C]3.67681448925764[/C][C]-2.50493619324797[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 50 )[/C][C]-9.46487315306122[/C][C]3.62710725889123[/C][C]-2.60948256488961[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 50 )[/C][C]-9.72726946875[/C][C]3.57121723008792[/C][C]-2.72379663348301[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 50 )[/C][C]-9.97339222340426[/C][C]3.51571362158024[/C][C]-2.83680450028277[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 50 )[/C][C]-10.2278540108696[/C][C]3.45529459344297[/C][C]-2.96005267692043[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 50 )[/C][C]-10.4442518777778[/C][C]3.39891731128779[/C][C]-3.07281728893271[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 50 )[/C][C]-10.6074178295455[/C][C]3.34987281854891[/C][C]-3.16651359741483[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 50 )[/C][C]-10.746303127907[/C][C]3.30083061391171[/C][C]-3.25563604585328[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 50 )[/C][C]-10.905103202381[/C][C]3.24898167410485[/C][C]-3.35646805560561[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 50 )[/C][C]-11.0729435243902[/C][C]3.19467568586486[/C][C]-3.46606185203196[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 50 )[/C][C]-11.2150558625[/C][C]3.14161934598554[/C][C]-3.56983282421881[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 50 )[/C][C]-11.3583572948718[/C][C]3.08334533978432[/C][C]-3.68377721052365[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 50 )[/C][C]-11.4945561710526[/C][C]3.03419280649572[/C][C]-3.78834072325418[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 50 )[/C][C]-11.6368779594595[/C][C]2.97897033830404[/C][C]-3.90634233910649[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 50 )[/C][C]-11.7347509583333[/C][C]2.92817639900458[/C][C]-4.00752870022533[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 50 )[/C][C]-11.8585495571429[/C][C]2.87827831463123[/C][C]-4.12001490504305[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 50 )[/C][C]-11.9455671911765[/C][C]2.83120876673562[/C][C]-4.21924632740867[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 50 )[/C][C]-12.010399530303[/C][C]2.78157146770721[/C][C]-4.31784682498305[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 50 )[/C][C]-12.083216703125[/C][C]2.72624027888062[/C][C]-4.43219066079029[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 50 )[/C][C]-12.194384983871[/C][C]2.67372393901038[/C][C]-4.56082425188011[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 50 )[/C][C]-12.36267115[/C][C]2.62980574922704[/C][C]-4.7009826309923[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 50 )[/C][C]-12.5453236034483[/C][C]2.57658119112091[/C][C]-4.86898051056198[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 50 )[/C][C]-12.7764137321429[/C][C]2.52295080555051[/C][C]-5.0640756466732[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 50 )[/C][C]-12.9436512777778[/C][C]2.48016227645413[/C][C]-5.21887273290973[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 50 )[/C][C]-13.1201205576923[/C][C]2.43107812900782[/C][C]-5.39683213021498[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 50 )[/C][C]-13.30459338[/C][C]2.37502148958431[/C][C]-5.60188336751792[/C][/ROW]
[ROW][C]Median[/C][C]-14.4834[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]85.721[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]-12.1958395866667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]-11.4945561710526[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]-11.4945561710526[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]-11.4945561710526[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]-11.6368779594595[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]-11.4945561710526[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]-11.4945561710526[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]-11.4945561710526[/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=270407&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270407&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	8.73333333266986e-07	5.8019533224159	1.50524019194166e-07
Geometric Mean	NaN
Harmonic Mean	337.791734789579
Quadratic Mean	70.8218659099606
Winsorized Mean ( 1 / 50 )	-0.585845793333333	5.60735462043328	-0.104478106520765
Winsorized Mean ( 2 / 50 )	-0.914339126666667	5.53466796245337	-0.165202164406149
Winsorized Mean ( 3 / 50 )	-1.02697912666667	5.50329457450247	-0.186611694642842
Winsorized Mean ( 4 / 50 )	-1.07108579333333	5.47071661104637	-0.195785281798479
Winsorized Mean ( 5 / 50 )	-0.78247246	5.42854720637419	-0.14414030683591
Winsorized Mean ( 6 / 50 )	-0.956148459999999	5.3844346127673	-0.177576389865118
Winsorized Mean ( 7 / 50 )	-1.05943579333333	5.36401505294574	-0.197507982896417
Winsorized Mean ( 8 / 50 )	-1.91031046	5.21259050531355	-0.36648005594391
Winsorized Mean ( 9 / 50 )	-1.87866046	5.18705066552079	-0.362182785776082
Winsorized Mean ( 10 / 50 )	-2.26614046	5.11758608473268	-0.442814331303696
Winsorized Mean ( 11 / 50 )	-2.45296446	5.04328789659468	-0.486382001244919
Winsorized Mean ( 12 / 50 )	-2.06473246	4.97233899201153	-0.415243703882048
Winsorized Mean ( 13 / 50 )	-2.38711512666667	4.90773330908324	-0.486398705131062
Winsorized Mean ( 14 / 50 )	-2.91213379333333	4.78645378325864	-0.608411555861873
Winsorized Mean ( 15 / 50 )	-3.56602379333333	4.68763496761256	-0.760729838814546
Winsorized Mean ( 16 / 50 )	-3.80883979333333	4.62008213122743	-0.82440954189735
Winsorized Mean ( 17 / 50 )	-4.28691379333333	4.52585981084542	-0.947204282169878
Winsorized Mean ( 18 / 50 )	-4.47240979333333	4.49064875799155	-0.995938456637083
Winsorized Mean ( 19 / 50 )	-4.58434512666667	4.37277124864068	-1.0483843919555
Winsorized Mean ( 20 / 50 )	-4.40353179333333	4.32558849440366	-1.01801912017995
Winsorized Mean ( 21 / 50 )	-5.26905379333334	4.20303531701843	-1.25363062546691
Winsorized Mean ( 22 / 50 )	-5.15469779333333	4.12112197827702	-1.25079961731403
Winsorized Mean ( 23 / 50 )	-5.23525912666667	4.10770265752111	-1.27449807426568
Winsorized Mean ( 24 / 50 )	-5.24610712666666	4.07641754110823	-1.28694057312893
Winsorized Mean ( 25 / 50 )	-5.05029046	3.96023631434624	-1.27524977277365
Winsorized Mean ( 26 / 50 )	-5.09859846	3.95420121910571	-1.28941300087736
Winsorized Mean ( 27 / 50 )	-5.56287246	3.88057103280771	-1.43351903958709
Winsorized Mean ( 28 / 50 )	-5.60343512666667	3.85303717172237	-1.45429044074388
Winsorized Mean ( 29 / 50 )	-6.46253112666667	3.74107818715787	-1.72745150017201
Winsorized Mean ( 30 / 50 )	-7.57253112666667	3.60176672206741	-2.10244907874546
Winsorized Mean ( 31 / 50 )	-8.13896312666667	3.5345732695395	-2.30267206420849
Winsorized Mean ( 32 / 50 )	-7.90060579333333	3.48839776344062	-2.26482366091788
Winsorized Mean ( 33 / 50 )	-7.87726379333333	3.43555133175748	-2.29286744183318
Winsorized Mean ( 34 / 50 )	-8.49597312666667	3.34924714586409	-2.53668145605742
Winsorized Mean ( 35 / 50 )	-8.60696979333334	3.31779702192934	-2.59418214449065
Winsorized Mean ( 36 / 50 )	-8.87408979333333	3.15557869118213	-2.8121909360495
Winsorized Mean ( 37 / 50 )	-8.89670912666667	3.13233643422895	-2.84027891431038
Winsorized Mean ( 38 / 50 )	-9.85167446	3.01758378443027	-3.26475589868668
Winsorized Mean ( 39 / 50 )	-9.48161646	2.93023982229265	-3.23578172266511
Winsorized Mean ( 40 / 50 )	-10.2806297933333	2.83311896071074	-3.62873212734924
Winsorized Mean ( 41 / 50 )	-10.7759917933333	2.77997300434994	-3.87629368215867
Winsorized Mean ( 42 / 50 )	-10.7055157933333	2.74469623888825	-3.90043737505526
Winsorized Mean ( 43 / 50 )	-10.1073857933333	2.63656538699404	-3.83354262450392
Winsorized Mean ( 44 / 50 )	-9.23254846	2.48527100821324	-3.71490611264871
Winsorized Mean ( 45 / 50 )	-9.18451846	2.47519722240267	-3.71062086563131
Winsorized Mean ( 46 / 50 )	-8.57673579333333	2.3857562129755	-3.59497577610266
Winsorized Mean ( 47 / 50 )	-9.94675446	2.2420418627783	-4.43647133674576
Winsorized Mean ( 48 / 50 )	-10.00720246	2.20761590480281	-4.53303604047638
Winsorized Mean ( 49 / 50 )	-10.10706446	2.16820881652777	-4.66148111886462
Winsorized Mean ( 50 / 50 )	-11.35526446	2.00325548779929	-5.66840551749817
Trimmed Mean ( 1 / 50 )	-1.15839100675676	5.48784145075799	-0.211083176719101
Trimmed Mean ( 2 / 50 )	-1.74662239041096	5.35727360431374	-0.326028222453406
Trimmed Mean ( 3 / 50 )	-2.18010325694444	5.25654414693547	-0.414740787103525
Trimmed Mean ( 4 / 50 )	-2.58613288028169	5.15914595359513	-0.501271509576029
Trimmed Mean ( 5 / 50 )	-2.99194906428571	5.06289155356255	-0.590956577408893
Trimmed Mean ( 6 / 50 )	-3.47227006521739	4.96828789178034	-0.698886646839045
Trimmed Mean ( 7 / 50 )	-3.93479241911765	4.8746228799688	-0.807199349776742
Trimmed Mean ( 8 / 50 )	-4.39460424626866	4.77598900134253	-0.920145386648364
Trimmed Mean ( 9 / 50 )	-4.74748688636364	4.6957809473052	-1.01101114801535
Trimmed Mean ( 10 / 50 )	-5.11528514615385	4.61189528502529	-1.10915032324412
Trimmed Mean ( 11 / 50 )	-5.4491692890625	4.53069367846298	-1.2027229549783
Trimmed Mean ( 12 / 50 )	-5.77343388095238	4.45229323123173	-1.29673262319139
Trimmed Mean ( 13 / 50 )	-6.14729491129032	4.37543213651985	-1.40495720639374
Trimmed Mean ( 14 / 50 )	-6.50292351639344	4.29932421366426	-1.51254550557635
Trimmed Mean ( 15 / 50 )	-6.82352974166667	4.23097956895852	-1.61275412240913
Trimmed Mean ( 16 / 50 )	-7.09958956779661	4.16777167487941	-1.70344973804306
Trimmed Mean ( 17 / 50 )	-7.36554456034483	4.10576821728467	-1.79395040600124
Trimmed Mean ( 18 / 50 )	-7.6038286754386	4.04796874068909	-1.87843068030812
Trimmed Mean ( 19 / 50 )	-7.83682115178571	3.98764284526952	-1.96527659468862
Trimmed Mean ( 20 / 50 )	-8.07025244545455	3.93342617679601	-2.0517106671691
Trimmed Mean ( 21 / 50 )	-8.32488582407407	3.87773602491151	-2.14684180939419
Trimmed Mean ( 22 / 50 )	-8.5308044245283	3.82886258403422	-2.22802574845608
Trimmed Mean ( 23 / 50 )	-8.75214008653846	3.78235325229264	-2.31394042352692
Trimmed Mean ( 24 / 50 )	-8.97700459803922	3.73127548967382	-2.40588094416582
Trimmed Mean ( 25 / 50 )	-9.21018569	3.67681448925764	-2.50493619324797
Trimmed Mean ( 26 / 50 )	-9.46487315306122	3.62710725889123	-2.60948256488961
Trimmed Mean ( 27 / 50 )	-9.72726946875	3.57121723008792	-2.72379663348301
Trimmed Mean ( 28 / 50 )	-9.97339222340426	3.51571362158024	-2.83680450028277
Trimmed Mean ( 29 / 50 )	-10.2278540108696	3.45529459344297	-2.96005267692043
Trimmed Mean ( 30 / 50 )	-10.4442518777778	3.39891731128779	-3.07281728893271
Trimmed Mean ( 31 / 50 )	-10.6074178295455	3.34987281854891	-3.16651359741483
Trimmed Mean ( 32 / 50 )	-10.746303127907	3.30083061391171	-3.25563604585328
Trimmed Mean ( 33 / 50 )	-10.905103202381	3.24898167410485	-3.35646805560561
Trimmed Mean ( 34 / 50 )	-11.0729435243902	3.19467568586486	-3.46606185203196
Trimmed Mean ( 35 / 50 )	-11.2150558625	3.14161934598554	-3.56983282421881
Trimmed Mean ( 36 / 50 )	-11.3583572948718	3.08334533978432	-3.68377721052365
Trimmed Mean ( 37 / 50 )	-11.4945561710526	3.03419280649572	-3.78834072325418
Trimmed Mean ( 38 / 50 )	-11.6368779594595	2.97897033830404	-3.90634233910649
Trimmed Mean ( 39 / 50 )	-11.7347509583333	2.92817639900458	-4.00752870022533
Trimmed Mean ( 40 / 50 )	-11.8585495571429	2.87827831463123	-4.12001490504305
Trimmed Mean ( 41 / 50 )	-11.9455671911765	2.83120876673562	-4.21924632740867
Trimmed Mean ( 42 / 50 )	-12.010399530303	2.78157146770721	-4.31784682498305
Trimmed Mean ( 43 / 50 )	-12.083216703125	2.72624027888062	-4.43219066079029
Trimmed Mean ( 44 / 50 )	-12.194384983871	2.67372393901038	-4.56082425188011
Trimmed Mean ( 45 / 50 )	-12.36267115	2.62980574922704	-4.7009826309923
Trimmed Mean ( 46 / 50 )	-12.5453236034483	2.57658119112091	-4.86898051056198
Trimmed Mean ( 47 / 50 )	-12.7764137321429	2.52295080555051	-5.0640756466732
Trimmed Mean ( 48 / 50 )	-12.9436512777778	2.48016227645413	-5.21887273290973
Trimmed Mean ( 49 / 50 )	-13.1201205576923	2.43107812900782	-5.39683213021498
Trimmed Mean ( 50 / 50 )	-13.30459338	2.37502148958431	-5.60188336751792
Median	-14.4834
Midrange	85.721
Midmean - Weighted Average at Xnp	-12.1958395866667
Midmean - Weighted Average at X(n+1)p	-11.4945561710526
Midmean - Empirical Distribution Function	-11.4945561710526
Midmean - Empirical Distribution Function - Averaging	-11.4945561710526
Midmean - Empirical Distribution Function - Interpolation	-11.6368779594595
Midmean - Closest Observation	-11.4945561710526
Midmean - True Basic - Statistics Graphics Toolkit	-11.4945561710526
Midmean - MS Excel (old versions)	-11.4945561710526
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