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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationSat, 08 Dec 2007 08:55:24 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/08/t1197128499m2d3cjxsghkia3y.htm/, Retrieved Mon, 29 Apr 2024 03:10:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2936, Retrieved Mon, 29 Apr 2024 03:10:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact234
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2007-12-08 15:55:24] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
-0.368345862926281
3.5878316982142
0.680076653274868
-1.33250732913831
-0.47427459060812
-0.325263786899650
2.19642832958525
1.10637097070814
0.321908011065112
2.28190811217428
1.61262005371022
1.02278682514068
-4.98167767636902
-1.62070287648671
-1.41929557068006
-0.218772801792001
-0.74187469514852
2.29569223818138
3.29975974708183
0.240923687698502
0.922106697872204
0.133175847194296
2.24249467416181
-1.21562200200219
5.90744289002201
6.10595173638766
1.52088010020295
0.426972023373682
1.30356433109431
0.996694993525794
1.6725165535973
-0.570476722532006
7.13511354905393
-7.22806052291115
0.251443441220967
-0.94518938674418
2.78860035930544
-0.37362077384721
2.69211440297468
-1.1905509277354
-1.47241432707684
4.47304829278409
2.94246556226902
2.47193504099342
1.69091570075408
5.05141774496454
-5.54153851205183
6.61505316637933
2.98626721642223
-2.06584153001215
10.3934232455153
12.7153295232949
2.96507397271918
-6.66424191467328
4.23400751792981
-4.94098830914812
2.01228339152736
5.66936634250643
-8.73714301467332
-1.13548055005733
-3.16287163340264
3.6430734071039
-3.38215199692236
-3.04763228191764
-0.166338587307169
0.969745519104399
-2.3575068696467
-1.63648596129319




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2936&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2936&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2936&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean0.797969302310090.4511617638010791.76869887108146
Geometric MeanNaN
Harmonic Mean18.6696200637488
Quadratic Mean3.77814766707285
Winsorized Mean ( 1 / 22 )0.7860160113392450.4321623609581691.81879793880367
Winsorized Mean ( 2 / 22 )0.7067662734503190.4000248226080041.76680604179131
Winsorized Mean ( 3 / 22 )0.7333534655067980.3817281062466221.92114086834623
Winsorized Mean ( 4 / 22 )0.7363393129003940.3671407930364372.00560473493153
Winsorized Mean ( 5 / 22 )0.7247349394338680.3632976133771021.99487943974351
Winsorized Mean ( 6 / 22 )0.8412725657318250.3294616659216622.55347633048107
Winsorized Mean ( 7 / 22 )0.8002331887001310.3117156580595422.56718957809708
Winsorized Mean ( 8 / 22 )0.7457472945006660.2957944718267172.52116711274287
Winsorized Mean ( 9 / 22 )0.8054496729822830.2731883298300022.94833118780548
Winsorized Mean ( 10 / 22 )0.7614395595717890.2502247664989793.04302236035815
Winsorized Mean ( 11 / 22 )0.8219579780735810.2374443608223623.46168666725468
Winsorized Mean ( 12 / 22 )0.773907001663130.2283921694392073.38850059335824
Winsorized Mean ( 13 / 22 )0.7423238876006820.2143502104891923.46313579961757
Winsorized Mean ( 14 / 22 )0.748896787272920.2119908923010633.53268378251533
Winsorized Mean ( 15 / 22 )0.7630541029548890.2083137892675713.66300332607734
Winsorized Mean ( 16 / 22 )0.7543529557013690.1986175684052113.79801727389175
Winsorized Mean ( 17 / 22 )0.7364992351853760.1940307638361533.79578588788788
Winsorized Mean ( 18 / 22 )0.6927939158110020.1832540354693893.78051110326968
Winsorized Mean ( 19 / 22 )0.6967191930098420.1683606497894034.1382543598005
Winsorized Mean ( 20 / 22 )0.7524634770064770.1592383885599974.72538992519989
Winsorized Mean ( 21 / 22 )0.7932234068106670.1501925473715155.28137661084178
Winsorized Mean ( 22 / 22 )0.8094438085995080.1438647174146255.62642337291537
Trimmed Mean ( 1 / 22 )0.7618746370979470.4023045551995581.89377581548891
Trimmed Mean ( 2 / 22 )0.7362244269665680.3651769376186882.01607591039969
Trimmed Mean ( 3 / 22 )0.7523788982496730.3418443356166742.20094007669430
Trimmed Mean ( 4 / 22 )0.7595662839525370.3224061234475912.35593007921268
Trimmed Mean ( 5 / 22 )0.7663741892609240.3044434987756332.51729530222527
Trimmed Mean ( 6 / 22 )0.7764865785046370.2834212936340742.73969033359633
Trimmed Mean ( 7 / 22 )0.7628895194569560.2683936275630232.84242784146511
Trimmed Mean ( 8 / 22 )0.7559132295983410.2549354182741562.96511655663881
Trimmed Mean ( 9 / 22 )0.7576414385649460.2424995368088753.12430055964221
Trimmed Mean ( 10 / 22 )0.7501160683325870.2328161445083833.22192462175052
Trimmed Mean ( 11 / 22 )0.7484421609320090.2262739836661993.30768101929082
Trimmed Mean ( 12 / 22 )0.7381134924079870.2207869793959303.34310245299543
Trimmed Mean ( 13 / 22 )0.7332842094132450.2156777539256473.39990655534199
Trimmed Mean ( 14 / 22 )0.7321020976502720.2120730950335213.4521215316566
Trimmed Mean ( 15 / 22 )0.7299554079992570.2075155238965293.51759422279765
Trimmed Mean ( 16 / 22 )0.725787424190030.2019676360156923.59358280617613
Trimmed Mean ( 17 / 22 )0.7222167327511120.1966109142491783.67332981238163
Trimmed Mean ( 18 / 22 )0.7204314199468290.1900567257962713.79061260225584
Trimmed Mean ( 19 / 22 )0.7239116982454150.1835788815490023.94332775173916
Trimmed Mean ( 20 / 22 )0.727387431997330.1784090413591224.07707718429563
Trimmed Mean ( 21 / 22 )0.724108256880750.1731507698916854.18195227970234
Trimmed Mean ( 22 / 22 )0.714783196969570.1675929245875234.26499626239463
Median0.801091675573536
Midrange1.98909325431079
Midmean - Weighted Average at Xnp0.666849911758161
Midmean - Weighted Average at X(n+1)p0.722216732751112
Midmean - Empirical Distribution Function0.666849911758161
Midmean - Empirical Distribution Function - Averaging0.722216732751112
Midmean - Empirical Distribution Function - Interpolation0.722216732751112
Midmean - Closest Observation0.666849911758161
Midmean - True Basic - Statistics Graphics Toolkit0.722216732751112
Midmean - MS Excel (old versions)0.72578742419003
Number of observations68

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 0.79796930231009 & 0.451161763801079 & 1.76869887108146 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & 18.6696200637488 &  &  \tabularnewline
Quadratic Mean & 3.77814766707285 &  &  \tabularnewline
Winsorized Mean ( 1 / 22 ) & 0.786016011339245 & 0.432162360958169 & 1.81879793880367 \tabularnewline
Winsorized Mean ( 2 / 22 ) & 0.706766273450319 & 0.400024822608004 & 1.76680604179131 \tabularnewline
Winsorized Mean ( 3 / 22 ) & 0.733353465506798 & 0.381728106246622 & 1.92114086834623 \tabularnewline
Winsorized Mean ( 4 / 22 ) & 0.736339312900394 & 0.367140793036437 & 2.00560473493153 \tabularnewline
Winsorized Mean ( 5 / 22 ) & 0.724734939433868 & 0.363297613377102 & 1.99487943974351 \tabularnewline
Winsorized Mean ( 6 / 22 ) & 0.841272565731825 & 0.329461665921662 & 2.55347633048107 \tabularnewline
Winsorized Mean ( 7 / 22 ) & 0.800233188700131 & 0.311715658059542 & 2.56718957809708 \tabularnewline
Winsorized Mean ( 8 / 22 ) & 0.745747294500666 & 0.295794471826717 & 2.52116711274287 \tabularnewline
Winsorized Mean ( 9 / 22 ) & 0.805449672982283 & 0.273188329830002 & 2.94833118780548 \tabularnewline
Winsorized Mean ( 10 / 22 ) & 0.761439559571789 & 0.250224766498979 & 3.04302236035815 \tabularnewline
Winsorized Mean ( 11 / 22 ) & 0.821957978073581 & 0.237444360822362 & 3.46168666725468 \tabularnewline
Winsorized Mean ( 12 / 22 ) & 0.77390700166313 & 0.228392169439207 & 3.38850059335824 \tabularnewline
Winsorized Mean ( 13 / 22 ) & 0.742323887600682 & 0.214350210489192 & 3.46313579961757 \tabularnewline
Winsorized Mean ( 14 / 22 ) & 0.74889678727292 & 0.211990892301063 & 3.53268378251533 \tabularnewline
Winsorized Mean ( 15 / 22 ) & 0.763054102954889 & 0.208313789267571 & 3.66300332607734 \tabularnewline
Winsorized Mean ( 16 / 22 ) & 0.754352955701369 & 0.198617568405211 & 3.79801727389175 \tabularnewline
Winsorized Mean ( 17 / 22 ) & 0.736499235185376 & 0.194030763836153 & 3.79578588788788 \tabularnewline
Winsorized Mean ( 18 / 22 ) & 0.692793915811002 & 0.183254035469389 & 3.78051110326968 \tabularnewline
Winsorized Mean ( 19 / 22 ) & 0.696719193009842 & 0.168360649789403 & 4.1382543598005 \tabularnewline
Winsorized Mean ( 20 / 22 ) & 0.752463477006477 & 0.159238388559997 & 4.72538992519989 \tabularnewline
Winsorized Mean ( 21 / 22 ) & 0.793223406810667 & 0.150192547371515 & 5.28137661084178 \tabularnewline
Winsorized Mean ( 22 / 22 ) & 0.809443808599508 & 0.143864717414625 & 5.62642337291537 \tabularnewline
Trimmed Mean ( 1 / 22 ) & 0.761874637097947 & 0.402304555199558 & 1.89377581548891 \tabularnewline
Trimmed Mean ( 2 / 22 ) & 0.736224426966568 & 0.365176937618688 & 2.01607591039969 \tabularnewline
Trimmed Mean ( 3 / 22 ) & 0.752378898249673 & 0.341844335616674 & 2.20094007669430 \tabularnewline
Trimmed Mean ( 4 / 22 ) & 0.759566283952537 & 0.322406123447591 & 2.35593007921268 \tabularnewline
Trimmed Mean ( 5 / 22 ) & 0.766374189260924 & 0.304443498775633 & 2.51729530222527 \tabularnewline
Trimmed Mean ( 6 / 22 ) & 0.776486578504637 & 0.283421293634074 & 2.73969033359633 \tabularnewline
Trimmed Mean ( 7 / 22 ) & 0.762889519456956 & 0.268393627563023 & 2.84242784146511 \tabularnewline
Trimmed Mean ( 8 / 22 ) & 0.755913229598341 & 0.254935418274156 & 2.96511655663881 \tabularnewline
Trimmed Mean ( 9 / 22 ) & 0.757641438564946 & 0.242499536808875 & 3.12430055964221 \tabularnewline
Trimmed Mean ( 10 / 22 ) & 0.750116068332587 & 0.232816144508383 & 3.22192462175052 \tabularnewline
Trimmed Mean ( 11 / 22 ) & 0.748442160932009 & 0.226273983666199 & 3.30768101929082 \tabularnewline
Trimmed Mean ( 12 / 22 ) & 0.738113492407987 & 0.220786979395930 & 3.34310245299543 \tabularnewline
Trimmed Mean ( 13 / 22 ) & 0.733284209413245 & 0.215677753925647 & 3.39990655534199 \tabularnewline
Trimmed Mean ( 14 / 22 ) & 0.732102097650272 & 0.212073095033521 & 3.4521215316566 \tabularnewline
Trimmed Mean ( 15 / 22 ) & 0.729955407999257 & 0.207515523896529 & 3.51759422279765 \tabularnewline
Trimmed Mean ( 16 / 22 ) & 0.72578742419003 & 0.201967636015692 & 3.59358280617613 \tabularnewline
Trimmed Mean ( 17 / 22 ) & 0.722216732751112 & 0.196610914249178 & 3.67332981238163 \tabularnewline
Trimmed Mean ( 18 / 22 ) & 0.720431419946829 & 0.190056725796271 & 3.79061260225584 \tabularnewline
Trimmed Mean ( 19 / 22 ) & 0.723911698245415 & 0.183578881549002 & 3.94332775173916 \tabularnewline
Trimmed Mean ( 20 / 22 ) & 0.72738743199733 & 0.178409041359122 & 4.07707718429563 \tabularnewline
Trimmed Mean ( 21 / 22 ) & 0.72410825688075 & 0.173150769891685 & 4.18195227970234 \tabularnewline
Trimmed Mean ( 22 / 22 ) & 0.71478319696957 & 0.167592924587523 & 4.26499626239463 \tabularnewline
Median & 0.801091675573536 &  &  \tabularnewline
Midrange & 1.98909325431079 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 0.666849911758161 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 0.722216732751112 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 0.666849911758161 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 0.722216732751112 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 0.722216732751112 &  &  \tabularnewline
Midmean - Closest Observation & 0.666849911758161 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 0.722216732751112 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 0.72578742419003 &  &  \tabularnewline
Number of observations & 68 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2936&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]0.79796930231009[/C][C]0.451161763801079[/C][C]1.76869887108146[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]18.6696200637488[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]3.77814766707285[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 22 )[/C][C]0.786016011339245[/C][C]0.432162360958169[/C][C]1.81879793880367[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 22 )[/C][C]0.706766273450319[/C][C]0.400024822608004[/C][C]1.76680604179131[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 22 )[/C][C]0.733353465506798[/C][C]0.381728106246622[/C][C]1.92114086834623[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 22 )[/C][C]0.736339312900394[/C][C]0.367140793036437[/C][C]2.00560473493153[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 22 )[/C][C]0.724734939433868[/C][C]0.363297613377102[/C][C]1.99487943974351[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 22 )[/C][C]0.841272565731825[/C][C]0.329461665921662[/C][C]2.55347633048107[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 22 )[/C][C]0.800233188700131[/C][C]0.311715658059542[/C][C]2.56718957809708[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 22 )[/C][C]0.745747294500666[/C][C]0.295794471826717[/C][C]2.52116711274287[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 22 )[/C][C]0.805449672982283[/C][C]0.273188329830002[/C][C]2.94833118780548[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 22 )[/C][C]0.761439559571789[/C][C]0.250224766498979[/C][C]3.04302236035815[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 22 )[/C][C]0.821957978073581[/C][C]0.237444360822362[/C][C]3.46168666725468[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 22 )[/C][C]0.77390700166313[/C][C]0.228392169439207[/C][C]3.38850059335824[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 22 )[/C][C]0.742323887600682[/C][C]0.214350210489192[/C][C]3.46313579961757[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 22 )[/C][C]0.74889678727292[/C][C]0.211990892301063[/C][C]3.53268378251533[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 22 )[/C][C]0.763054102954889[/C][C]0.208313789267571[/C][C]3.66300332607734[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 22 )[/C][C]0.754352955701369[/C][C]0.198617568405211[/C][C]3.79801727389175[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 22 )[/C][C]0.736499235185376[/C][C]0.194030763836153[/C][C]3.79578588788788[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 22 )[/C][C]0.692793915811002[/C][C]0.183254035469389[/C][C]3.78051110326968[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 22 )[/C][C]0.696719193009842[/C][C]0.168360649789403[/C][C]4.1382543598005[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 22 )[/C][C]0.752463477006477[/C][C]0.159238388559997[/C][C]4.72538992519989[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 22 )[/C][C]0.793223406810667[/C][C]0.150192547371515[/C][C]5.28137661084178[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 22 )[/C][C]0.809443808599508[/C][C]0.143864717414625[/C][C]5.62642337291537[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 22 )[/C][C]0.761874637097947[/C][C]0.402304555199558[/C][C]1.89377581548891[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 22 )[/C][C]0.736224426966568[/C][C]0.365176937618688[/C][C]2.01607591039969[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 22 )[/C][C]0.752378898249673[/C][C]0.341844335616674[/C][C]2.20094007669430[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 22 )[/C][C]0.759566283952537[/C][C]0.322406123447591[/C][C]2.35593007921268[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 22 )[/C][C]0.766374189260924[/C][C]0.304443498775633[/C][C]2.51729530222527[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 22 )[/C][C]0.776486578504637[/C][C]0.283421293634074[/C][C]2.73969033359633[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 22 )[/C][C]0.762889519456956[/C][C]0.268393627563023[/C][C]2.84242784146511[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 22 )[/C][C]0.755913229598341[/C][C]0.254935418274156[/C][C]2.96511655663881[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 22 )[/C][C]0.757641438564946[/C][C]0.242499536808875[/C][C]3.12430055964221[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 22 )[/C][C]0.750116068332587[/C][C]0.232816144508383[/C][C]3.22192462175052[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 22 )[/C][C]0.748442160932009[/C][C]0.226273983666199[/C][C]3.30768101929082[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 22 )[/C][C]0.738113492407987[/C][C]0.220786979395930[/C][C]3.34310245299543[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 22 )[/C][C]0.733284209413245[/C][C]0.215677753925647[/C][C]3.39990655534199[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 22 )[/C][C]0.732102097650272[/C][C]0.212073095033521[/C][C]3.4521215316566[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 22 )[/C][C]0.729955407999257[/C][C]0.207515523896529[/C][C]3.51759422279765[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 22 )[/C][C]0.72578742419003[/C][C]0.201967636015692[/C][C]3.59358280617613[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 22 )[/C][C]0.722216732751112[/C][C]0.196610914249178[/C][C]3.67332981238163[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 22 )[/C][C]0.720431419946829[/C][C]0.190056725796271[/C][C]3.79061260225584[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 22 )[/C][C]0.723911698245415[/C][C]0.183578881549002[/C][C]3.94332775173916[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 22 )[/C][C]0.72738743199733[/C][C]0.178409041359122[/C][C]4.07707718429563[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 22 )[/C][C]0.72410825688075[/C][C]0.173150769891685[/C][C]4.18195227970234[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 22 )[/C][C]0.71478319696957[/C][C]0.167592924587523[/C][C]4.26499626239463[/C][/ROW]
[ROW][C]Median[/C][C]0.801091675573536[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]1.98909325431079[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]0.666849911758161[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]0.722216732751112[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]0.666849911758161[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]0.722216732751112[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]0.722216732751112[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]0.666849911758161[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]0.722216732751112[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]0.72578742419003[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]68[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2936&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2936&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
MeasureValueS.E.Value/S.E.
Arithmetic Mean0.797969302310090.4511617638010791.76869887108146
Geometric MeanNaN
Harmonic Mean18.6696200637488
Quadratic Mean3.77814766707285
Winsorized Mean ( 1 / 22 )0.7860160113392450.4321623609581691.81879793880367
Winsorized Mean ( 2 / 22 )0.7067662734503190.4000248226080041.76680604179131
Winsorized Mean ( 3 / 22 )0.7333534655067980.3817281062466221.92114086834623
Winsorized Mean ( 4 / 22 )0.7363393129003940.3671407930364372.00560473493153
Winsorized Mean ( 5 / 22 )0.7247349394338680.3632976133771021.99487943974351
Winsorized Mean ( 6 / 22 )0.8412725657318250.3294616659216622.55347633048107
Winsorized Mean ( 7 / 22 )0.8002331887001310.3117156580595422.56718957809708
Winsorized Mean ( 8 / 22 )0.7457472945006660.2957944718267172.52116711274287
Winsorized Mean ( 9 / 22 )0.8054496729822830.2731883298300022.94833118780548
Winsorized Mean ( 10 / 22 )0.7614395595717890.2502247664989793.04302236035815
Winsorized Mean ( 11 / 22 )0.8219579780735810.2374443608223623.46168666725468
Winsorized Mean ( 12 / 22 )0.773907001663130.2283921694392073.38850059335824
Winsorized Mean ( 13 / 22 )0.7423238876006820.2143502104891923.46313579961757
Winsorized Mean ( 14 / 22 )0.748896787272920.2119908923010633.53268378251533
Winsorized Mean ( 15 / 22 )0.7630541029548890.2083137892675713.66300332607734
Winsorized Mean ( 16 / 22 )0.7543529557013690.1986175684052113.79801727389175
Winsorized Mean ( 17 / 22 )0.7364992351853760.1940307638361533.79578588788788
Winsorized Mean ( 18 / 22 )0.6927939158110020.1832540354693893.78051110326968
Winsorized Mean ( 19 / 22 )0.6967191930098420.1683606497894034.1382543598005
Winsorized Mean ( 20 / 22 )0.7524634770064770.1592383885599974.72538992519989
Winsorized Mean ( 21 / 22 )0.7932234068106670.1501925473715155.28137661084178
Winsorized Mean ( 22 / 22 )0.8094438085995080.1438647174146255.62642337291537
Trimmed Mean ( 1 / 22 )0.7618746370979470.4023045551995581.89377581548891
Trimmed Mean ( 2 / 22 )0.7362244269665680.3651769376186882.01607591039969
Trimmed Mean ( 3 / 22 )0.7523788982496730.3418443356166742.20094007669430
Trimmed Mean ( 4 / 22 )0.7595662839525370.3224061234475912.35593007921268
Trimmed Mean ( 5 / 22 )0.7663741892609240.3044434987756332.51729530222527
Trimmed Mean ( 6 / 22 )0.7764865785046370.2834212936340742.73969033359633
Trimmed Mean ( 7 / 22 )0.7628895194569560.2683936275630232.84242784146511
Trimmed Mean ( 8 / 22 )0.7559132295983410.2549354182741562.96511655663881
Trimmed Mean ( 9 / 22 )0.7576414385649460.2424995368088753.12430055964221
Trimmed Mean ( 10 / 22 )0.7501160683325870.2328161445083833.22192462175052
Trimmed Mean ( 11 / 22 )0.7484421609320090.2262739836661993.30768101929082
Trimmed Mean ( 12 / 22 )0.7381134924079870.2207869793959303.34310245299543
Trimmed Mean ( 13 / 22 )0.7332842094132450.2156777539256473.39990655534199
Trimmed Mean ( 14 / 22 )0.7321020976502720.2120730950335213.4521215316566
Trimmed Mean ( 15 / 22 )0.7299554079992570.2075155238965293.51759422279765
Trimmed Mean ( 16 / 22 )0.725787424190030.2019676360156923.59358280617613
Trimmed Mean ( 17 / 22 )0.7222167327511120.1966109142491783.67332981238163
Trimmed Mean ( 18 / 22 )0.7204314199468290.1900567257962713.79061260225584
Trimmed Mean ( 19 / 22 )0.7239116982454150.1835788815490023.94332775173916
Trimmed Mean ( 20 / 22 )0.727387431997330.1784090413591224.07707718429563
Trimmed Mean ( 21 / 22 )0.724108256880750.1731507698916854.18195227970234
Trimmed Mean ( 22 / 22 )0.714783196969570.1675929245875234.26499626239463
Median0.801091675573536
Midrange1.98909325431079
Midmean - Weighted Average at Xnp0.666849911758161
Midmean - Weighted Average at X(n+1)p0.722216732751112
Midmean - Empirical Distribution Function0.666849911758161
Midmean - Empirical Distribution Function - Averaging0.722216732751112
Midmean - Empirical Distribution Function - Interpolation0.722216732751112
Midmean - Closest Observation0.666849911758161
Midmean - True Basic - Statistics Graphics Toolkit0.722216732751112
Midmean - MS Excel (old versions)0.72578742419003
Number of observations68



Parameters (Session):
par1 = FALSE ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 1 ;
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')