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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationTue, 23 Nov 2010 15:02:42 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/23/t1290524555f0jv77y59jvbduc.htm/, Retrieved Fri, 29 Mar 2024 08:18:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=99219, Retrieved Fri, 29 Mar 2024 08:18:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [TIN central tendency] [2010-11-23 15:02:42] [f76239c595e4d455b3b05a43389f68d5] [Current]
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Dataseries X:
0.0017356093451131
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-0.0028943580263334
3.1086244689504E-14
0.0028943580263312
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-0.00057820180853341
8.8817841970013E-16
-0.0023161562177991
3.1086244689504E-14
3.1086244689504E-14
0.0023161562178311
-0.0023161562177991
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
0.0028943580263312
-3.3306690738755E-14
-0.0028943580263334
3.1086244689504E-14
0.0028943580263312
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-0.0028943580263334
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
3.1086244689504E-14
0.0028943580263312
-0.0028943580263334
3.1086244689504E-14
0.0028943580263312
-3.3306690738755E-14
-3.3306690738755E-14
-3.3306690738755E-14
-0.0028943580263334
3.1086244689504E-14
-0.0063972303077691
-3.3750779948605E-14
-3.3750779948605E-14
-0.018251904966934
-1.4654943925052E-14
-0.050574285962915
0.050574285962919
-0.010752791776214
4.7517545453957E-14
4.7517545453957E-14
4.7517545453957E-14
4.7517545453957E-14
0.010752791776247
-0.010752791776214
4.7517545453957E-14
4.7517545453957E-14
0.010752791776247
-0.010752791776214
4.7517545453957E-14
0.010752791776247
-0.010752791776214
4.7517545453957E-14
0.010752791776247
-1.4654943925052E-14
-1.4654943925052E-14
-0.010752791776214
0.010752791776247
-0.010752791776214
4.7517545453957E-14
4.7517545453957E-14
4.7517545453957E-14
4.7517545453957E-14
4.7517545453957E-14
0.010752791776247
-0.010752791776214
4.7517545453957E-14
4.7517545453957E-14
0.010752791776247
-0.010752791776214
0.010752791776247
-1.4654943925052E-14
-0.010752791776214
4.7517545453957E-14
4.7517545453957E-14
4.7517545453957E-14
4.7517545453957E-14
4.7517545453957E-14
0.010752791776247
-1.4654943925052E-14
-1.4654943925052E-14
-0.010752791776214
4.7517545453957E-14
0.010752791776247
-1.4654943925052E-14
-0.0059594932040148
-0.035902852156933
-0.011215070820103
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
0.011215070820137
-2.6645352591004E-15
-0.011215070820103
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
0.011215070820137
-2.6645352591004E-15
-2.6645352591004E-15
-0.011215070820103
0.011215070820137
-2.6645352591004E-15
-2.6645352591004E-15
-0.011215070820103
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
0.011215070820137
-2.6645352591004E-15
-0.011215070820103
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
0.011215070820137
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-0.011215070820103
0.011215070820137
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-0.011215070820103
3.7303493627405E-14
3.7303493627405E-14
3.7303493627405E-14
-0.062035390919463
0.02566774674859
1.1990408665952E-14
-0.65427640617099
-3.5527136788005E-14
-3.5527136788005E-14
-3.5527136788005E-14
0.65427640617096
-0.025667746748588
0.02566774674859
1.1990408665952E-14
1.1990408665952E-14
-0.025667746748588




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=99219&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=99219&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99219&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean-0.0007046034552728980.00468453174745085-0.150410647906553
Geometric MeanNaN
Harmonic Mean-1.69238476316236e-14
Quadratic Mean0.0660872087995196
Winsorized Mean ( 1 / 66 )-0.0007619089800554670.000770672373452211-0.9886288989996
Winsorized Mean ( 2 / 66 )-0.0008963633226332770.000657674900165395-1.36292767506842
Winsorized Mean ( 3 / 66 )-0.0006762918155435470.000581929130442927-1.16215494321241
Winsorized Mean ( 4 / 66 )-0.0007606432259457070.000470238440379553-1.61756921729273
Winsorized Mean ( 5 / 66 )-0.0007606432259457070.000470238440379553-1.61756921729273
Winsorized Mean ( 6 / 66 )-0.0005381679724960870.000416503944825799-1.29210774395228
Winsorized Mean ( 7 / 66 )-0.0002918787773570020.000371528592210896-0.785615921563632
Winsorized Mean ( 8 / 66 )-0.0002918787773570020.000371528592210896-0.785615921563632
Winsorized Mean ( 9 / 66 )-0.0002918787773570020.000371528592210896-0.785615921563632
Winsorized Mean ( 10 / 66 )-0.0003149927295515020.000367982917906633-0.855998238568847
Winsorized Mean ( 11 / 66 )-0.0003149927295515020.000367982917906633-0.855998238568847
Winsorized Mean ( 12 / 66 )-0.0003149927295515020.000367982917906633-0.855998238568847
Winsorized Mean ( 13 / 66 )-0.0003149927295515030.000367982917906633-0.855998238568848
Winsorized Mean ( 14 / 66 )-0.0002826331964792720.000363230503016839-0.778109751609076
Winsorized Mean ( 15 / 66 )-0.0002826331964792720.000363230503016839-0.778109751609076
Winsorized Mean ( 16 / 66 )-0.0002826331964792720.000363230503016839-0.778109751609076
Winsorized Mean ( 17 / 66 )-0.0002826331964792720.000363230503016839-0.778109751609076
Winsorized Mean ( 18 / 66 )-0.0002826331964792720.000363230503016839-0.778109751609076
Winsorized Mean ( 19 / 66 )-0.0002826331964792720.000363230503016839-0.778109751609076
Winsorized Mean ( 20 / 66 )-0.001068476571470850.000269645778681107-3.9625191860855
Winsorized Mean ( 21 / 66 )-0.001068476571470850.000269645778681107-3.9625191860855
Winsorized Mean ( 22 / 66 )-0.001068476571470850.000269645778681107-3.9625191860855
Winsorized Mean ( 23 / 66 )-0.001068476571470850.000269645778681107-3.9625191860855
Winsorized Mean ( 24 / 66 )-0.0005458091952574650.000178618903258674-3.05571910531233
Winsorized Mean ( 25 / 66 )-0.0005633672833506890.000162839859509987-3.45963994961649
Winsorized Mean ( 26 / 66 )-0.0002403708037054479.24998419689664e-05-2.59860772287688
Winsorized Mean ( 27 / 66 )-0.0004746780652893017.53044379579287e-05-6.30345406142591
Winsorized Mean ( 28 / 66 )-0.0004746780652893017.53044379579287e-05-6.30345406142591
Winsorized Mean ( 29 / 66 )-0.0004746780652893017.53044379579287e-05-6.30345406142591
Winsorized Mean ( 30 / 66 )-0.0004746780652893017.53044379579287e-05-6.30345406142591
Winsorized Mean ( 31 / 66 )-0.0003850567849664856.0920843986538e-05-6.32060818217773
Winsorized Mean ( 32 / 66 )-0.0003850567849664856.0920843986538e-05-6.32060818217773
Winsorized Mean ( 33 / 66 )-9.82943074376457e-051.53963017588193e-05-6.38428039261708
Winsorized Mean ( 34 / 66 )6.99440505513846e-152.39139153631166e-152.92482638201782
Winsorized Mean ( 35 / 66 )6.99440505513846e-152.39139153631166e-152.92482638201782
Winsorized Mean ( 36 / 66 )6.99440505513846e-152.39139153631166e-152.92482638201782
Winsorized Mean ( 37 / 66 )7.32303107042746e-152.36235162497129e-153.09989037746084
Winsorized Mean ( 38 / 66 )7.32303107042746e-152.36235162497129e-153.09989037746084
Winsorized Mean ( 39 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 40 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 41 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 42 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 43 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 44 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 45 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 46 / 66 )7.4096284663482e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 47 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 48 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 49 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 50 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 51 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 52 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 53 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 54 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 55 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 56 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 57 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 58 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 59 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 60 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 61 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 62 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 63 / 66 )1.08335562742922e-141.66443316383873e-156.5088562939388
Winsorized Mean ( 64 / 66 )1.08335562742922e-141.66443316383873e-156.5088562939388
Winsorized Mean ( 65 / 66 )1.08335562742922e-141.66443316383873e-156.5088562939388
Winsorized Mean ( 66 / 66 )1.08335562742922e-141.66443316383873e-156.5088562939388
Trimmed Mean ( 1 / 66 )-0.0007117206618916640.000664978362736428-1.07029145875196
Trimmed Mean ( 2 / 66 )-0.0006605080923367630.000532977006984401-1.23928065128726
Trimmed Mean ( 3 / 66 )-0.0005389332313591780.0004525894603156-1.19077724652131
Trimmed Mean ( 4 / 66 )-0.0004912392785173830.000395342705728987-1.24256568136642
Trimmed Mean ( 5 / 66 )-0.000420343502878350.000371642863459873-1.13104150303087
Trimmed Mean ( 6 / 66 )-0.000347939306481040.000345065527222543-1.00832821314151
Trimmed Mean ( 7 / 66 )-0.0003138481476969810.000329308506735206-0.953052050821582
Trimmed Mean ( 8 / 66 )-0.0003172595406069160.000321471952852659-0.986896485965996
Trimmed Mean ( 9 / 66 )-0.00032074590918520.000313036489185612-1.0246278637345
Trimmed Mean ( 10 / 66 )-0.000324309752620780.000303930574251861-1.0670520839145
Trimmed Mean ( 11 / 66 )-0.0003253566091454180.000294631960012838-1.10428145382206
Trimmed Mean ( 12 / 66 )-0.0003264272578637980.000284540021982447-1.14721034879211
Trimmed Mean ( 13 / 66 )-0.0003275225191963940.00027353959141815-1.19734959571436
Trimmed Mean ( 14 / 66 )-0.000328643251722770.000261485584165899-1.25683124280482
Trimmed Mean ( 15 / 66 )-0.0003325096429197030.000248880079500717-1.33602353224395
Trimmed Mean ( 16 / 66 )-0.0003364680910498960.00023490229937405-1.43237461679383
Trimmed Mean ( 17 / 66 )-0.0003405219234723820.000219248138100581-1.55313484722122
Trimmed Mean ( 18 / 66 )-0.0003446746298563930.000201478760322364-1.71072439251124
Trimmed Mean ( 19 / 66 )-0.0003489298722005030.00018091445961717-1.92870085088206
Trimmed Mean ( 20 / 66 )-0.0003532914956032160.000156385738235815-2.25910303323495
Trimmed Mean ( 21 / 66 )-0.0003080266173837450.000142420192065727-2.16280158674123
Trimmed Mean ( 22 / 66 )-0.0002616011012612110.00012593211745914-2.07731837230553
Trimmed Mean ( 23 / 66 )-0.0002139697275770520.000105669359651214-2.02489849738192
Trimmed Mean ( 24 / 66 )-0.0001650848966906797.86568975446469e-05-2.0987974588875
Trimmed Mean ( 25 / 66 )-0.0001439335467703036.47607772361519e-05-2.22254199089435
Trimmed Mean ( 26 / 66 )-0.0001212614529010924.97216539855155e-05-2.43880569492755
Trimmed Mean ( 27 / 66 )-0.0001149859338913794.48807438992396e-05-2.56203270938492
Trimmed Mean ( 28 / 66 )-9.64832522351076e-054.11417419031469e-05-2.34514261603804
Trimmed Mean ( 29 / 66 )-9.64832522351076e-053.66990938607894e-05-2.62903636261695
Trimmed Mean ( 30 / 66 )-5.78919447805981e-053.12234085412926e-05-1.85411995311264
Trimmed Mean ( 31 / 66 )-3.77573495869409e-052.39745154705907e-05-1.57489521042699
Trimmed Mean ( 32 / 66 )-2.12820443032814e-051.75226263639478e-05-1.21454648756698
Trimmed Mean ( 33 / 66 )-4.31493886190064e-064.3149388697106e-06-0.999999998190019
Trimmed Mean ( 34 / 66 )7.50914482110094e-152.52519567731304e-152.97368829218459
Trimmed Mean ( 35 / 66 )7.53243621322594e-152.52372796236203e-152.98464665192207
Trimmed Mean ( 36 / 66 )7.55645546135484e-152.52154254047483e-152.99675906317722
Trimmed Mean ( 37 / 66 )7.58123722529736e-152.51857051639968e-153.01013498567227
Trimmed Mean ( 38 / 66 )7.5924929425977e-152.51669093487822e-153.01685552142107
Trimmed Mean ( 39 / 66 )7.60411769980954e-152.51400099480233e-153.02470751424958
Trimmed Mean ( 40 / 66 )7.61242920551301e-152.51092881441102e-153.03171844690413
Trimmed Mean ( 41 / 66 )7.62102245717254e-152.50691093951472e-153.04000526586229
Trimmed Mean ( 42 / 66 )7.6299120278548e-152.50184942271455e-153.04970873090205
Trimmed Mean ( 43 / 66 )7.63911351329786e-152.49563450123428e-153.06099050542848
Trimmed Mean ( 44 / 66 )7.64864362322102e-152.48814281664279e-153.07403721846691
Trimmed Mean ( 45 / 66 )7.65852028259593e-152.47923529763659e-153.08906552350906
Trimmed Mean ( 46 / 66 )7.6687627441699e-152.46875462632609e-153.10632845500011
Trimmed Mean ( 47 / 66 )7.67939171372781e-152.45652218529355e-153.12612349267676
Trimmed Mean ( 48 / 66 )7.69042948980717e-152.44233435129293e-153.14880290069048
Trimmed Mean ( 49 / 66 )7.80203788285584e-152.44008142417336e-153.19744980866734
Trimmed Mean ( 50 / 66 )7.91811061162646e-152.43659951032693e-153.24965616141163
Trimmed Mean ( 51 / 66 )8.03892100279587e-152.43173264570537e-153.3058408032615
Trimmed Mean ( 52 / 66 )8.16476516026402e-152.425302015114e-153.36649419716919
Trimmed Mean ( 53 / 66 )8.29596438826272e-152.41710176904247e-153.43219490983582
Trimmed Mean ( 54 / 66 )8.43286793052224e-152.40689387496736e-153.50363097360768
Trimmed Mean ( 55 / 66 )8.57585607465995e-152.39440172325139e-153.58162792458013
Trimmed Mean ( 56 / 66 )8.72534367989484e-152.37930210673678e-153.66718612789431
Trimmed Mean ( 57 / 66 )8.72534367989484e-152.36121504716361e-153.6952770101885
Trimmed Mean ( 58 / 66 )8.88178419700111e-152.33969072627544e-153.79613600090643
Trimmed Mean ( 59 / 66 )9.21755896542434e-152.31419245459361e-153.98305635606396
Trimmed Mean ( 60 / 66 )9.39803790345182e-152.2840741075929e-154.11459412468715
Trimmed Mean ( 61 / 66 )9.58777217163456e-152.24854965600105e-154.26398062682148
Trimmed Mean ( 62 / 66 )9.78749245393218e-152.20665109125398e-154.43545084799527
Trimmed Mean ( 63 / 66 )9.9980084271648e-152.15716877049068e-154.63478266695406
Trimmed Mean ( 64 / 66 )9.96116769316448e-152.15698848810414e-154.61809033664327
Trimmed Mean ( 65 / 66 )9.92222177436414e-152.15498967929431e-154.60430129652099
Trimmed Mean ( 66 / 66 )9.88098491916377e-152.15083845191551e-154.59401537589394
Median-2.6645352591004e-15
Midrange-1.50435219836709e-14
Midmean - Weighted Average at Xnp4.42517212647037e-15
Midmean - Weighted Average at X(n+1)p4.42517212647037e-15
Midmean - Empirical Distribution Function4.42517212647037e-15
Midmean - Empirical Distribution Function - Averaging4.42517212647037e-15
Midmean - Empirical Distribution Function - Interpolation4.42517212647037e-15
Midmean - Closest Observation4.42517212647037e-15
Midmean - True Basic - Statistics Graphics Toolkit4.42517212647037e-15
Midmean - MS Excel (old versions)4.42517212647037e-15
Number of observations200

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & -0.000704603455272898 & 0.00468453174745085 & -0.150410647906553 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & -1.69238476316236e-14 &  &  \tabularnewline
Quadratic Mean & 0.0660872087995196 &  &  \tabularnewline
Winsorized Mean ( 1 / 66 ) & -0.000761908980055467 & 0.000770672373452211 & -0.9886288989996 \tabularnewline
Winsorized Mean ( 2 / 66 ) & -0.000896363322633277 & 0.000657674900165395 & -1.36292767506842 \tabularnewline
Winsorized Mean ( 3 / 66 ) & -0.000676291815543547 & 0.000581929130442927 & -1.16215494321241 \tabularnewline
Winsorized Mean ( 4 / 66 ) & -0.000760643225945707 & 0.000470238440379553 & -1.61756921729273 \tabularnewline
Winsorized Mean ( 5 / 66 ) & -0.000760643225945707 & 0.000470238440379553 & -1.61756921729273 \tabularnewline
Winsorized Mean ( 6 / 66 ) & -0.000538167972496087 & 0.000416503944825799 & -1.29210774395228 \tabularnewline
Winsorized Mean ( 7 / 66 ) & -0.000291878777357002 & 0.000371528592210896 & -0.785615921563632 \tabularnewline
Winsorized Mean ( 8 / 66 ) & -0.000291878777357002 & 0.000371528592210896 & -0.785615921563632 \tabularnewline
Winsorized Mean ( 9 / 66 ) & -0.000291878777357002 & 0.000371528592210896 & -0.785615921563632 \tabularnewline
Winsorized Mean ( 10 / 66 ) & -0.000314992729551502 & 0.000367982917906633 & -0.855998238568847 \tabularnewline
Winsorized Mean ( 11 / 66 ) & -0.000314992729551502 & 0.000367982917906633 & -0.855998238568847 \tabularnewline
Winsorized Mean ( 12 / 66 ) & -0.000314992729551502 & 0.000367982917906633 & -0.855998238568847 \tabularnewline
Winsorized Mean ( 13 / 66 ) & -0.000314992729551503 & 0.000367982917906633 & -0.855998238568848 \tabularnewline
Winsorized Mean ( 14 / 66 ) & -0.000282633196479272 & 0.000363230503016839 & -0.778109751609076 \tabularnewline
Winsorized Mean ( 15 / 66 ) & -0.000282633196479272 & 0.000363230503016839 & -0.778109751609076 \tabularnewline
Winsorized Mean ( 16 / 66 ) & -0.000282633196479272 & 0.000363230503016839 & -0.778109751609076 \tabularnewline
Winsorized Mean ( 17 / 66 ) & -0.000282633196479272 & 0.000363230503016839 & -0.778109751609076 \tabularnewline
Winsorized Mean ( 18 / 66 ) & -0.000282633196479272 & 0.000363230503016839 & -0.778109751609076 \tabularnewline
Winsorized Mean ( 19 / 66 ) & -0.000282633196479272 & 0.000363230503016839 & -0.778109751609076 \tabularnewline
Winsorized Mean ( 20 / 66 ) & -0.00106847657147085 & 0.000269645778681107 & -3.9625191860855 \tabularnewline
Winsorized Mean ( 21 / 66 ) & -0.00106847657147085 & 0.000269645778681107 & -3.9625191860855 \tabularnewline
Winsorized Mean ( 22 / 66 ) & -0.00106847657147085 & 0.000269645778681107 & -3.9625191860855 \tabularnewline
Winsorized Mean ( 23 / 66 ) & -0.00106847657147085 & 0.000269645778681107 & -3.9625191860855 \tabularnewline
Winsorized Mean ( 24 / 66 ) & -0.000545809195257465 & 0.000178618903258674 & -3.05571910531233 \tabularnewline
Winsorized Mean ( 25 / 66 ) & -0.000563367283350689 & 0.000162839859509987 & -3.45963994961649 \tabularnewline
Winsorized Mean ( 26 / 66 ) & -0.000240370803705447 & 9.24998419689664e-05 & -2.59860772287688 \tabularnewline
Winsorized Mean ( 27 / 66 ) & -0.000474678065289301 & 7.53044379579287e-05 & -6.30345406142591 \tabularnewline
Winsorized Mean ( 28 / 66 ) & -0.000474678065289301 & 7.53044379579287e-05 & -6.30345406142591 \tabularnewline
Winsorized Mean ( 29 / 66 ) & -0.000474678065289301 & 7.53044379579287e-05 & -6.30345406142591 \tabularnewline
Winsorized Mean ( 30 / 66 ) & -0.000474678065289301 & 7.53044379579287e-05 & -6.30345406142591 \tabularnewline
Winsorized Mean ( 31 / 66 ) & -0.000385056784966485 & 6.0920843986538e-05 & -6.32060818217773 \tabularnewline
Winsorized Mean ( 32 / 66 ) & -0.000385056784966485 & 6.0920843986538e-05 & -6.32060818217773 \tabularnewline
Winsorized Mean ( 33 / 66 ) & -9.82943074376457e-05 & 1.53963017588193e-05 & -6.38428039261708 \tabularnewline
Winsorized Mean ( 34 / 66 ) & 6.99440505513846e-15 & 2.39139153631166e-15 & 2.92482638201782 \tabularnewline
Winsorized Mean ( 35 / 66 ) & 6.99440505513846e-15 & 2.39139153631166e-15 & 2.92482638201782 \tabularnewline
Winsorized Mean ( 36 / 66 ) & 6.99440505513846e-15 & 2.39139153631166e-15 & 2.92482638201782 \tabularnewline
Winsorized Mean ( 37 / 66 ) & 7.32303107042746e-15 & 2.36235162497129e-15 & 3.09989037746084 \tabularnewline
Winsorized Mean ( 38 / 66 ) & 7.32303107042746e-15 & 2.36235162497129e-15 & 3.09989037746084 \tabularnewline
Winsorized Mean ( 39 / 66 ) & 7.40962846634821e-15 & 2.35480639935634e-15 & 3.14659772810774 \tabularnewline
Winsorized Mean ( 40 / 66 ) & 7.40962846634821e-15 & 2.35480639935634e-15 & 3.14659772810774 \tabularnewline
Winsorized Mean ( 41 / 66 ) & 7.40962846634821e-15 & 2.35480639935634e-15 & 3.14659772810774 \tabularnewline
Winsorized Mean ( 42 / 66 ) & 7.40962846634821e-15 & 2.35480639935634e-15 & 3.14659772810774 \tabularnewline
Winsorized Mean ( 43 / 66 ) & 7.40962846634821e-15 & 2.35480639935634e-15 & 3.14659772810774 \tabularnewline
Winsorized Mean ( 44 / 66 ) & 7.40962846634821e-15 & 2.35480639935634e-15 & 3.14659772810774 \tabularnewline
Winsorized Mean ( 45 / 66 ) & 7.40962846634821e-15 & 2.35480639935634e-15 & 3.14659772810774 \tabularnewline
Winsorized Mean ( 46 / 66 ) & 7.4096284663482e-15 & 2.35480639935634e-15 & 3.14659772810774 \tabularnewline
Winsorized Mean ( 47 / 66 ) & 7.40962846634821e-15 & 2.35480639935634e-15 & 3.14659772810774 \tabularnewline
Winsorized Mean ( 48 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 49 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 50 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 51 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 52 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 53 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 54 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 55 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 56 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 57 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 58 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 59 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 60 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 61 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 62 / 66 ) & 4.95825602797573e-15 & 2.1569891731028e-15 & 2.29869305317066 \tabularnewline
Winsorized Mean ( 63 / 66 ) & 1.08335562742922e-14 & 1.66443316383873e-15 & 6.5088562939388 \tabularnewline
Winsorized Mean ( 64 / 66 ) & 1.08335562742922e-14 & 1.66443316383873e-15 & 6.5088562939388 \tabularnewline
Winsorized Mean ( 65 / 66 ) & 1.08335562742922e-14 & 1.66443316383873e-15 & 6.5088562939388 \tabularnewline
Winsorized Mean ( 66 / 66 ) & 1.08335562742922e-14 & 1.66443316383873e-15 & 6.5088562939388 \tabularnewline
Trimmed Mean ( 1 / 66 ) & -0.000711720661891664 & 0.000664978362736428 & -1.07029145875196 \tabularnewline
Trimmed Mean ( 2 / 66 ) & -0.000660508092336763 & 0.000532977006984401 & -1.23928065128726 \tabularnewline
Trimmed Mean ( 3 / 66 ) & -0.000538933231359178 & 0.0004525894603156 & -1.19077724652131 \tabularnewline
Trimmed Mean ( 4 / 66 ) & -0.000491239278517383 & 0.000395342705728987 & -1.24256568136642 \tabularnewline
Trimmed Mean ( 5 / 66 ) & -0.00042034350287835 & 0.000371642863459873 & -1.13104150303087 \tabularnewline
Trimmed Mean ( 6 / 66 ) & -0.00034793930648104 & 0.000345065527222543 & -1.00832821314151 \tabularnewline
Trimmed Mean ( 7 / 66 ) & -0.000313848147696981 & 0.000329308506735206 & -0.953052050821582 \tabularnewline
Trimmed Mean ( 8 / 66 ) & -0.000317259540606916 & 0.000321471952852659 & -0.986896485965996 \tabularnewline
Trimmed Mean ( 9 / 66 ) & -0.0003207459091852 & 0.000313036489185612 & -1.0246278637345 \tabularnewline
Trimmed Mean ( 10 / 66 ) & -0.00032430975262078 & 0.000303930574251861 & -1.0670520839145 \tabularnewline
Trimmed Mean ( 11 / 66 ) & -0.000325356609145418 & 0.000294631960012838 & -1.10428145382206 \tabularnewline
Trimmed Mean ( 12 / 66 ) & -0.000326427257863798 & 0.000284540021982447 & -1.14721034879211 \tabularnewline
Trimmed Mean ( 13 / 66 ) & -0.000327522519196394 & 0.00027353959141815 & -1.19734959571436 \tabularnewline
Trimmed Mean ( 14 / 66 ) & -0.00032864325172277 & 0.000261485584165899 & -1.25683124280482 \tabularnewline
Trimmed Mean ( 15 / 66 ) & -0.000332509642919703 & 0.000248880079500717 & -1.33602353224395 \tabularnewline
Trimmed Mean ( 16 / 66 ) & -0.000336468091049896 & 0.00023490229937405 & -1.43237461679383 \tabularnewline
Trimmed Mean ( 17 / 66 ) & -0.000340521923472382 & 0.000219248138100581 & -1.55313484722122 \tabularnewline
Trimmed Mean ( 18 / 66 ) & -0.000344674629856393 & 0.000201478760322364 & -1.71072439251124 \tabularnewline
Trimmed Mean ( 19 / 66 ) & -0.000348929872200503 & 0.00018091445961717 & -1.92870085088206 \tabularnewline
Trimmed Mean ( 20 / 66 ) & -0.000353291495603216 & 0.000156385738235815 & -2.25910303323495 \tabularnewline
Trimmed Mean ( 21 / 66 ) & -0.000308026617383745 & 0.000142420192065727 & -2.16280158674123 \tabularnewline
Trimmed Mean ( 22 / 66 ) & -0.000261601101261211 & 0.00012593211745914 & -2.07731837230553 \tabularnewline
Trimmed Mean ( 23 / 66 ) & -0.000213969727577052 & 0.000105669359651214 & -2.02489849738192 \tabularnewline
Trimmed Mean ( 24 / 66 ) & -0.000165084896690679 & 7.86568975446469e-05 & -2.0987974588875 \tabularnewline
Trimmed Mean ( 25 / 66 ) & -0.000143933546770303 & 6.47607772361519e-05 & -2.22254199089435 \tabularnewline
Trimmed Mean ( 26 / 66 ) & -0.000121261452901092 & 4.97216539855155e-05 & -2.43880569492755 \tabularnewline
Trimmed Mean ( 27 / 66 ) & -0.000114985933891379 & 4.48807438992396e-05 & -2.56203270938492 \tabularnewline
Trimmed Mean ( 28 / 66 ) & -9.64832522351076e-05 & 4.11417419031469e-05 & -2.34514261603804 \tabularnewline
Trimmed Mean ( 29 / 66 ) & -9.64832522351076e-05 & 3.66990938607894e-05 & -2.62903636261695 \tabularnewline
Trimmed Mean ( 30 / 66 ) & -5.78919447805981e-05 & 3.12234085412926e-05 & -1.85411995311264 \tabularnewline
Trimmed Mean ( 31 / 66 ) & -3.77573495869409e-05 & 2.39745154705907e-05 & -1.57489521042699 \tabularnewline
Trimmed Mean ( 32 / 66 ) & -2.12820443032814e-05 & 1.75226263639478e-05 & -1.21454648756698 \tabularnewline
Trimmed Mean ( 33 / 66 ) & -4.31493886190064e-06 & 4.3149388697106e-06 & -0.999999998190019 \tabularnewline
Trimmed Mean ( 34 / 66 ) & 7.50914482110094e-15 & 2.52519567731304e-15 & 2.97368829218459 \tabularnewline
Trimmed Mean ( 35 / 66 ) & 7.53243621322594e-15 & 2.52372796236203e-15 & 2.98464665192207 \tabularnewline
Trimmed Mean ( 36 / 66 ) & 7.55645546135484e-15 & 2.52154254047483e-15 & 2.99675906317722 \tabularnewline
Trimmed Mean ( 37 / 66 ) & 7.58123722529736e-15 & 2.51857051639968e-15 & 3.01013498567227 \tabularnewline
Trimmed Mean ( 38 / 66 ) & 7.5924929425977e-15 & 2.51669093487822e-15 & 3.01685552142107 \tabularnewline
Trimmed Mean ( 39 / 66 ) & 7.60411769980954e-15 & 2.51400099480233e-15 & 3.02470751424958 \tabularnewline
Trimmed Mean ( 40 / 66 ) & 7.61242920551301e-15 & 2.51092881441102e-15 & 3.03171844690413 \tabularnewline
Trimmed Mean ( 41 / 66 ) & 7.62102245717254e-15 & 2.50691093951472e-15 & 3.04000526586229 \tabularnewline
Trimmed Mean ( 42 / 66 ) & 7.6299120278548e-15 & 2.50184942271455e-15 & 3.04970873090205 \tabularnewline
Trimmed Mean ( 43 / 66 ) & 7.63911351329786e-15 & 2.49563450123428e-15 & 3.06099050542848 \tabularnewline
Trimmed Mean ( 44 / 66 ) & 7.64864362322102e-15 & 2.48814281664279e-15 & 3.07403721846691 \tabularnewline
Trimmed Mean ( 45 / 66 ) & 7.65852028259593e-15 & 2.47923529763659e-15 & 3.08906552350906 \tabularnewline
Trimmed Mean ( 46 / 66 ) & 7.6687627441699e-15 & 2.46875462632609e-15 & 3.10632845500011 \tabularnewline
Trimmed Mean ( 47 / 66 ) & 7.67939171372781e-15 & 2.45652218529355e-15 & 3.12612349267676 \tabularnewline
Trimmed Mean ( 48 / 66 ) & 7.69042948980717e-15 & 2.44233435129293e-15 & 3.14880290069048 \tabularnewline
Trimmed Mean ( 49 / 66 ) & 7.80203788285584e-15 & 2.44008142417336e-15 & 3.19744980866734 \tabularnewline
Trimmed Mean ( 50 / 66 ) & 7.91811061162646e-15 & 2.43659951032693e-15 & 3.24965616141163 \tabularnewline
Trimmed Mean ( 51 / 66 ) & 8.03892100279587e-15 & 2.43173264570537e-15 & 3.3058408032615 \tabularnewline
Trimmed Mean ( 52 / 66 ) & 8.16476516026402e-15 & 2.425302015114e-15 & 3.36649419716919 \tabularnewline
Trimmed Mean ( 53 / 66 ) & 8.29596438826272e-15 & 2.41710176904247e-15 & 3.43219490983582 \tabularnewline
Trimmed Mean ( 54 / 66 ) & 8.43286793052224e-15 & 2.40689387496736e-15 & 3.50363097360768 \tabularnewline
Trimmed Mean ( 55 / 66 ) & 8.57585607465995e-15 & 2.39440172325139e-15 & 3.58162792458013 \tabularnewline
Trimmed Mean ( 56 / 66 ) & 8.72534367989484e-15 & 2.37930210673678e-15 & 3.66718612789431 \tabularnewline
Trimmed Mean ( 57 / 66 ) & 8.72534367989484e-15 & 2.36121504716361e-15 & 3.6952770101885 \tabularnewline
Trimmed Mean ( 58 / 66 ) & 8.88178419700111e-15 & 2.33969072627544e-15 & 3.79613600090643 \tabularnewline
Trimmed Mean ( 59 / 66 ) & 9.21755896542434e-15 & 2.31419245459361e-15 & 3.98305635606396 \tabularnewline
Trimmed Mean ( 60 / 66 ) & 9.39803790345182e-15 & 2.2840741075929e-15 & 4.11459412468715 \tabularnewline
Trimmed Mean ( 61 / 66 ) & 9.58777217163456e-15 & 2.24854965600105e-15 & 4.26398062682148 \tabularnewline
Trimmed Mean ( 62 / 66 ) & 9.78749245393218e-15 & 2.20665109125398e-15 & 4.43545084799527 \tabularnewline
Trimmed Mean ( 63 / 66 ) & 9.9980084271648e-15 & 2.15716877049068e-15 & 4.63478266695406 \tabularnewline
Trimmed Mean ( 64 / 66 ) & 9.96116769316448e-15 & 2.15698848810414e-15 & 4.61809033664327 \tabularnewline
Trimmed Mean ( 65 / 66 ) & 9.92222177436414e-15 & 2.15498967929431e-15 & 4.60430129652099 \tabularnewline
Trimmed Mean ( 66 / 66 ) & 9.88098491916377e-15 & 2.15083845191551e-15 & 4.59401537589394 \tabularnewline
Median & -2.6645352591004e-15 &  &  \tabularnewline
Midrange & -1.50435219836709e-14 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 4.42517212647037e-15 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 4.42517212647037e-15 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 4.42517212647037e-15 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 4.42517212647037e-15 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 4.42517212647037e-15 &  &  \tabularnewline
Midmean - Closest Observation & 4.42517212647037e-15 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 4.42517212647037e-15 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 4.42517212647037e-15 &  &  \tabularnewline
Number of observations & 200 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=99219&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]-0.000704603455272898[/C][C]0.00468453174745085[/C][C]-0.150410647906553[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]-1.69238476316236e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]0.0660872087995196[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 66 )[/C][C]-0.000761908980055467[/C][C]0.000770672373452211[/C][C]-0.9886288989996[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 66 )[/C][C]-0.000896363322633277[/C][C]0.000657674900165395[/C][C]-1.36292767506842[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 66 )[/C][C]-0.000676291815543547[/C][C]0.000581929130442927[/C][C]-1.16215494321241[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 66 )[/C][C]-0.000760643225945707[/C][C]0.000470238440379553[/C][C]-1.61756921729273[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 66 )[/C][C]-0.000760643225945707[/C][C]0.000470238440379553[/C][C]-1.61756921729273[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 66 )[/C][C]-0.000538167972496087[/C][C]0.000416503944825799[/C][C]-1.29210774395228[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 66 )[/C][C]-0.000291878777357002[/C][C]0.000371528592210896[/C][C]-0.785615921563632[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 66 )[/C][C]-0.000291878777357002[/C][C]0.000371528592210896[/C][C]-0.785615921563632[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 66 )[/C][C]-0.000291878777357002[/C][C]0.000371528592210896[/C][C]-0.785615921563632[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 66 )[/C][C]-0.000314992729551502[/C][C]0.000367982917906633[/C][C]-0.855998238568847[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 66 )[/C][C]-0.000314992729551502[/C][C]0.000367982917906633[/C][C]-0.855998238568847[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 66 )[/C][C]-0.000314992729551502[/C][C]0.000367982917906633[/C][C]-0.855998238568847[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 66 )[/C][C]-0.000314992729551503[/C][C]0.000367982917906633[/C][C]-0.855998238568848[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 66 )[/C][C]-0.000282633196479272[/C][C]0.000363230503016839[/C][C]-0.778109751609076[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 66 )[/C][C]-0.000282633196479272[/C][C]0.000363230503016839[/C][C]-0.778109751609076[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 66 )[/C][C]-0.000282633196479272[/C][C]0.000363230503016839[/C][C]-0.778109751609076[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 66 )[/C][C]-0.000282633196479272[/C][C]0.000363230503016839[/C][C]-0.778109751609076[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 66 )[/C][C]-0.000282633196479272[/C][C]0.000363230503016839[/C][C]-0.778109751609076[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 66 )[/C][C]-0.000282633196479272[/C][C]0.000363230503016839[/C][C]-0.778109751609076[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 66 )[/C][C]-0.00106847657147085[/C][C]0.000269645778681107[/C][C]-3.9625191860855[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 66 )[/C][C]-0.00106847657147085[/C][C]0.000269645778681107[/C][C]-3.9625191860855[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 66 )[/C][C]-0.00106847657147085[/C][C]0.000269645778681107[/C][C]-3.9625191860855[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 66 )[/C][C]-0.00106847657147085[/C][C]0.000269645778681107[/C][C]-3.9625191860855[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 66 )[/C][C]-0.000545809195257465[/C][C]0.000178618903258674[/C][C]-3.05571910531233[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 66 )[/C][C]-0.000563367283350689[/C][C]0.000162839859509987[/C][C]-3.45963994961649[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 66 )[/C][C]-0.000240370803705447[/C][C]9.24998419689664e-05[/C][C]-2.59860772287688[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 66 )[/C][C]-0.000474678065289301[/C][C]7.53044379579287e-05[/C][C]-6.30345406142591[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 66 )[/C][C]-0.000474678065289301[/C][C]7.53044379579287e-05[/C][C]-6.30345406142591[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 66 )[/C][C]-0.000474678065289301[/C][C]7.53044379579287e-05[/C][C]-6.30345406142591[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 66 )[/C][C]-0.000474678065289301[/C][C]7.53044379579287e-05[/C][C]-6.30345406142591[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 66 )[/C][C]-0.000385056784966485[/C][C]6.0920843986538e-05[/C][C]-6.32060818217773[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 66 )[/C][C]-0.000385056784966485[/C][C]6.0920843986538e-05[/C][C]-6.32060818217773[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 66 )[/C][C]-9.82943074376457e-05[/C][C]1.53963017588193e-05[/C][C]-6.38428039261708[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 66 )[/C][C]6.99440505513846e-15[/C][C]2.39139153631166e-15[/C][C]2.92482638201782[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 66 )[/C][C]6.99440505513846e-15[/C][C]2.39139153631166e-15[/C][C]2.92482638201782[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 66 )[/C][C]6.99440505513846e-15[/C][C]2.39139153631166e-15[/C][C]2.92482638201782[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 66 )[/C][C]7.32303107042746e-15[/C][C]2.36235162497129e-15[/C][C]3.09989037746084[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 66 )[/C][C]7.32303107042746e-15[/C][C]2.36235162497129e-15[/C][C]3.09989037746084[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 66 )[/C][C]7.40962846634821e-15[/C][C]2.35480639935634e-15[/C][C]3.14659772810774[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 66 )[/C][C]7.40962846634821e-15[/C][C]2.35480639935634e-15[/C][C]3.14659772810774[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 66 )[/C][C]7.40962846634821e-15[/C][C]2.35480639935634e-15[/C][C]3.14659772810774[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 66 )[/C][C]7.40962846634821e-15[/C][C]2.35480639935634e-15[/C][C]3.14659772810774[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 66 )[/C][C]7.40962846634821e-15[/C][C]2.35480639935634e-15[/C][C]3.14659772810774[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 66 )[/C][C]7.40962846634821e-15[/C][C]2.35480639935634e-15[/C][C]3.14659772810774[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 66 )[/C][C]7.40962846634821e-15[/C][C]2.35480639935634e-15[/C][C]3.14659772810774[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 66 )[/C][C]7.4096284663482e-15[/C][C]2.35480639935634e-15[/C][C]3.14659772810774[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 66 )[/C][C]7.40962846634821e-15[/C][C]2.35480639935634e-15[/C][C]3.14659772810774[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 51 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 52 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 53 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 54 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 55 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 56 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 57 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 58 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 59 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 60 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 61 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 62 / 66 )[/C][C]4.95825602797573e-15[/C][C]2.1569891731028e-15[/C][C]2.29869305317066[/C][/ROW]
[ROW][C]Winsorized Mean ( 63 / 66 )[/C][C]1.08335562742922e-14[/C][C]1.66443316383873e-15[/C][C]6.5088562939388[/C][/ROW]
[ROW][C]Winsorized Mean ( 64 / 66 )[/C][C]1.08335562742922e-14[/C][C]1.66443316383873e-15[/C][C]6.5088562939388[/C][/ROW]
[ROW][C]Winsorized Mean ( 65 / 66 )[/C][C]1.08335562742922e-14[/C][C]1.66443316383873e-15[/C][C]6.5088562939388[/C][/ROW]
[ROW][C]Winsorized Mean ( 66 / 66 )[/C][C]1.08335562742922e-14[/C][C]1.66443316383873e-15[/C][C]6.5088562939388[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 66 )[/C][C]-0.000711720661891664[/C][C]0.000664978362736428[/C][C]-1.07029145875196[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 66 )[/C][C]-0.000660508092336763[/C][C]0.000532977006984401[/C][C]-1.23928065128726[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 66 )[/C][C]-0.000538933231359178[/C][C]0.0004525894603156[/C][C]-1.19077724652131[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 66 )[/C][C]-0.000491239278517383[/C][C]0.000395342705728987[/C][C]-1.24256568136642[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 66 )[/C][C]-0.00042034350287835[/C][C]0.000371642863459873[/C][C]-1.13104150303087[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 66 )[/C][C]-0.00034793930648104[/C][C]0.000345065527222543[/C][C]-1.00832821314151[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 66 )[/C][C]-0.000313848147696981[/C][C]0.000329308506735206[/C][C]-0.953052050821582[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 66 )[/C][C]-0.000317259540606916[/C][C]0.000321471952852659[/C][C]-0.986896485965996[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 66 )[/C][C]-0.0003207459091852[/C][C]0.000313036489185612[/C][C]-1.0246278637345[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 66 )[/C][C]-0.00032430975262078[/C][C]0.000303930574251861[/C][C]-1.0670520839145[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 66 )[/C][C]-0.000325356609145418[/C][C]0.000294631960012838[/C][C]-1.10428145382206[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 66 )[/C][C]-0.000326427257863798[/C][C]0.000284540021982447[/C][C]-1.14721034879211[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 66 )[/C][C]-0.000327522519196394[/C][C]0.00027353959141815[/C][C]-1.19734959571436[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 66 )[/C][C]-0.00032864325172277[/C][C]0.000261485584165899[/C][C]-1.25683124280482[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 66 )[/C][C]-0.000332509642919703[/C][C]0.000248880079500717[/C][C]-1.33602353224395[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 66 )[/C][C]-0.000336468091049896[/C][C]0.00023490229937405[/C][C]-1.43237461679383[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 66 )[/C][C]-0.000340521923472382[/C][C]0.000219248138100581[/C][C]-1.55313484722122[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 66 )[/C][C]-0.000344674629856393[/C][C]0.000201478760322364[/C][C]-1.71072439251124[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 66 )[/C][C]-0.000348929872200503[/C][C]0.00018091445961717[/C][C]-1.92870085088206[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 66 )[/C][C]-0.000353291495603216[/C][C]0.000156385738235815[/C][C]-2.25910303323495[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 66 )[/C][C]-0.000308026617383745[/C][C]0.000142420192065727[/C][C]-2.16280158674123[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 66 )[/C][C]-0.000261601101261211[/C][C]0.00012593211745914[/C][C]-2.07731837230553[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 66 )[/C][C]-0.000213969727577052[/C][C]0.000105669359651214[/C][C]-2.02489849738192[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 66 )[/C][C]-0.000165084896690679[/C][C]7.86568975446469e-05[/C][C]-2.0987974588875[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 66 )[/C][C]-0.000143933546770303[/C][C]6.47607772361519e-05[/C][C]-2.22254199089435[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 66 )[/C][C]-0.000121261452901092[/C][C]4.97216539855155e-05[/C][C]-2.43880569492755[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 66 )[/C][C]-0.000114985933891379[/C][C]4.48807438992396e-05[/C][C]-2.56203270938492[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 66 )[/C][C]-9.64832522351076e-05[/C][C]4.11417419031469e-05[/C][C]-2.34514261603804[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 66 )[/C][C]-9.64832522351076e-05[/C][C]3.66990938607894e-05[/C][C]-2.62903636261695[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 66 )[/C][C]-5.78919447805981e-05[/C][C]3.12234085412926e-05[/C][C]-1.85411995311264[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 66 )[/C][C]-3.77573495869409e-05[/C][C]2.39745154705907e-05[/C][C]-1.57489521042699[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 66 )[/C][C]-2.12820443032814e-05[/C][C]1.75226263639478e-05[/C][C]-1.21454648756698[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 66 )[/C][C]-4.31493886190064e-06[/C][C]4.3149388697106e-06[/C][C]-0.999999998190019[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 66 )[/C][C]7.50914482110094e-15[/C][C]2.52519567731304e-15[/C][C]2.97368829218459[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 66 )[/C][C]7.53243621322594e-15[/C][C]2.52372796236203e-15[/C][C]2.98464665192207[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 66 )[/C][C]7.55645546135484e-15[/C][C]2.52154254047483e-15[/C][C]2.99675906317722[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 66 )[/C][C]7.58123722529736e-15[/C][C]2.51857051639968e-15[/C][C]3.01013498567227[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 66 )[/C][C]7.5924929425977e-15[/C][C]2.51669093487822e-15[/C][C]3.01685552142107[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 66 )[/C][C]7.60411769980954e-15[/C][C]2.51400099480233e-15[/C][C]3.02470751424958[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 66 )[/C][C]7.61242920551301e-15[/C][C]2.51092881441102e-15[/C][C]3.03171844690413[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 66 )[/C][C]7.62102245717254e-15[/C][C]2.50691093951472e-15[/C][C]3.04000526586229[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 66 )[/C][C]7.6299120278548e-15[/C][C]2.50184942271455e-15[/C][C]3.04970873090205[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 66 )[/C][C]7.63911351329786e-15[/C][C]2.49563450123428e-15[/C][C]3.06099050542848[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 66 )[/C][C]7.64864362322102e-15[/C][C]2.48814281664279e-15[/C][C]3.07403721846691[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 66 )[/C][C]7.65852028259593e-15[/C][C]2.47923529763659e-15[/C][C]3.08906552350906[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 66 )[/C][C]7.6687627441699e-15[/C][C]2.46875462632609e-15[/C][C]3.10632845500011[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 66 )[/C][C]7.67939171372781e-15[/C][C]2.45652218529355e-15[/C][C]3.12612349267676[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 66 )[/C][C]7.69042948980717e-15[/C][C]2.44233435129293e-15[/C][C]3.14880290069048[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 66 )[/C][C]7.80203788285584e-15[/C][C]2.44008142417336e-15[/C][C]3.19744980866734[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 66 )[/C][C]7.91811061162646e-15[/C][C]2.43659951032693e-15[/C][C]3.24965616141163[/C][/ROW]
[ROW][C]Trimmed Mean ( 51 / 66 )[/C][C]8.03892100279587e-15[/C][C]2.43173264570537e-15[/C][C]3.3058408032615[/C][/ROW]
[ROW][C]Trimmed Mean ( 52 / 66 )[/C][C]8.16476516026402e-15[/C][C]2.425302015114e-15[/C][C]3.36649419716919[/C][/ROW]
[ROW][C]Trimmed Mean ( 53 / 66 )[/C][C]8.29596438826272e-15[/C][C]2.41710176904247e-15[/C][C]3.43219490983582[/C][/ROW]
[ROW][C]Trimmed Mean ( 54 / 66 )[/C][C]8.43286793052224e-15[/C][C]2.40689387496736e-15[/C][C]3.50363097360768[/C][/ROW]
[ROW][C]Trimmed Mean ( 55 / 66 )[/C][C]8.57585607465995e-15[/C][C]2.39440172325139e-15[/C][C]3.58162792458013[/C][/ROW]
[ROW][C]Trimmed Mean ( 56 / 66 )[/C][C]8.72534367989484e-15[/C][C]2.37930210673678e-15[/C][C]3.66718612789431[/C][/ROW]
[ROW][C]Trimmed Mean ( 57 / 66 )[/C][C]8.72534367989484e-15[/C][C]2.36121504716361e-15[/C][C]3.6952770101885[/C][/ROW]
[ROW][C]Trimmed Mean ( 58 / 66 )[/C][C]8.88178419700111e-15[/C][C]2.33969072627544e-15[/C][C]3.79613600090643[/C][/ROW]
[ROW][C]Trimmed Mean ( 59 / 66 )[/C][C]9.21755896542434e-15[/C][C]2.31419245459361e-15[/C][C]3.98305635606396[/C][/ROW]
[ROW][C]Trimmed Mean ( 60 / 66 )[/C][C]9.39803790345182e-15[/C][C]2.2840741075929e-15[/C][C]4.11459412468715[/C][/ROW]
[ROW][C]Trimmed Mean ( 61 / 66 )[/C][C]9.58777217163456e-15[/C][C]2.24854965600105e-15[/C][C]4.26398062682148[/C][/ROW]
[ROW][C]Trimmed Mean ( 62 / 66 )[/C][C]9.78749245393218e-15[/C][C]2.20665109125398e-15[/C][C]4.43545084799527[/C][/ROW]
[ROW][C]Trimmed Mean ( 63 / 66 )[/C][C]9.9980084271648e-15[/C][C]2.15716877049068e-15[/C][C]4.63478266695406[/C][/ROW]
[ROW][C]Trimmed Mean ( 64 / 66 )[/C][C]9.96116769316448e-15[/C][C]2.15698848810414e-15[/C][C]4.61809033664327[/C][/ROW]
[ROW][C]Trimmed Mean ( 65 / 66 )[/C][C]9.92222177436414e-15[/C][C]2.15498967929431e-15[/C][C]4.60430129652099[/C][/ROW]
[ROW][C]Trimmed Mean ( 66 / 66 )[/C][C]9.88098491916377e-15[/C][C]2.15083845191551e-15[/C][C]4.59401537589394[/C][/ROW]
[ROW][C]Median[/C][C]-2.6645352591004e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]-1.50435219836709e-14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]4.42517212647037e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]4.42517212647037e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]4.42517212647037e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]4.42517212647037e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]4.42517212647037e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]4.42517212647037e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]4.42517212647037e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]4.42517212647037e-15[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]200[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=99219&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99219&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 Mean-0.0007046034552728980.00468453174745085-0.150410647906553
Geometric MeanNaN
Harmonic Mean-1.69238476316236e-14
Quadratic Mean0.0660872087995196
Winsorized Mean ( 1 / 66 )-0.0007619089800554670.000770672373452211-0.9886288989996
Winsorized Mean ( 2 / 66 )-0.0008963633226332770.000657674900165395-1.36292767506842
Winsorized Mean ( 3 / 66 )-0.0006762918155435470.000581929130442927-1.16215494321241
Winsorized Mean ( 4 / 66 )-0.0007606432259457070.000470238440379553-1.61756921729273
Winsorized Mean ( 5 / 66 )-0.0007606432259457070.000470238440379553-1.61756921729273
Winsorized Mean ( 6 / 66 )-0.0005381679724960870.000416503944825799-1.29210774395228
Winsorized Mean ( 7 / 66 )-0.0002918787773570020.000371528592210896-0.785615921563632
Winsorized Mean ( 8 / 66 )-0.0002918787773570020.000371528592210896-0.785615921563632
Winsorized Mean ( 9 / 66 )-0.0002918787773570020.000371528592210896-0.785615921563632
Winsorized Mean ( 10 / 66 )-0.0003149927295515020.000367982917906633-0.855998238568847
Winsorized Mean ( 11 / 66 )-0.0003149927295515020.000367982917906633-0.855998238568847
Winsorized Mean ( 12 / 66 )-0.0003149927295515020.000367982917906633-0.855998238568847
Winsorized Mean ( 13 / 66 )-0.0003149927295515030.000367982917906633-0.855998238568848
Winsorized Mean ( 14 / 66 )-0.0002826331964792720.000363230503016839-0.778109751609076
Winsorized Mean ( 15 / 66 )-0.0002826331964792720.000363230503016839-0.778109751609076
Winsorized Mean ( 16 / 66 )-0.0002826331964792720.000363230503016839-0.778109751609076
Winsorized Mean ( 17 / 66 )-0.0002826331964792720.000363230503016839-0.778109751609076
Winsorized Mean ( 18 / 66 )-0.0002826331964792720.000363230503016839-0.778109751609076
Winsorized Mean ( 19 / 66 )-0.0002826331964792720.000363230503016839-0.778109751609076
Winsorized Mean ( 20 / 66 )-0.001068476571470850.000269645778681107-3.9625191860855
Winsorized Mean ( 21 / 66 )-0.001068476571470850.000269645778681107-3.9625191860855
Winsorized Mean ( 22 / 66 )-0.001068476571470850.000269645778681107-3.9625191860855
Winsorized Mean ( 23 / 66 )-0.001068476571470850.000269645778681107-3.9625191860855
Winsorized Mean ( 24 / 66 )-0.0005458091952574650.000178618903258674-3.05571910531233
Winsorized Mean ( 25 / 66 )-0.0005633672833506890.000162839859509987-3.45963994961649
Winsorized Mean ( 26 / 66 )-0.0002403708037054479.24998419689664e-05-2.59860772287688
Winsorized Mean ( 27 / 66 )-0.0004746780652893017.53044379579287e-05-6.30345406142591
Winsorized Mean ( 28 / 66 )-0.0004746780652893017.53044379579287e-05-6.30345406142591
Winsorized Mean ( 29 / 66 )-0.0004746780652893017.53044379579287e-05-6.30345406142591
Winsorized Mean ( 30 / 66 )-0.0004746780652893017.53044379579287e-05-6.30345406142591
Winsorized Mean ( 31 / 66 )-0.0003850567849664856.0920843986538e-05-6.32060818217773
Winsorized Mean ( 32 / 66 )-0.0003850567849664856.0920843986538e-05-6.32060818217773
Winsorized Mean ( 33 / 66 )-9.82943074376457e-051.53963017588193e-05-6.38428039261708
Winsorized Mean ( 34 / 66 )6.99440505513846e-152.39139153631166e-152.92482638201782
Winsorized Mean ( 35 / 66 )6.99440505513846e-152.39139153631166e-152.92482638201782
Winsorized Mean ( 36 / 66 )6.99440505513846e-152.39139153631166e-152.92482638201782
Winsorized Mean ( 37 / 66 )7.32303107042746e-152.36235162497129e-153.09989037746084
Winsorized Mean ( 38 / 66 )7.32303107042746e-152.36235162497129e-153.09989037746084
Winsorized Mean ( 39 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 40 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 41 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 42 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 43 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 44 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 45 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 46 / 66 )7.4096284663482e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 47 / 66 )7.40962846634821e-152.35480639935634e-153.14659772810774
Winsorized Mean ( 48 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 49 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 50 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 51 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 52 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 53 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 54 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 55 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 56 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 57 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 58 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 59 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 60 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 61 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 62 / 66 )4.95825602797573e-152.1569891731028e-152.29869305317066
Winsorized Mean ( 63 / 66 )1.08335562742922e-141.66443316383873e-156.5088562939388
Winsorized Mean ( 64 / 66 )1.08335562742922e-141.66443316383873e-156.5088562939388
Winsorized Mean ( 65 / 66 )1.08335562742922e-141.66443316383873e-156.5088562939388
Winsorized Mean ( 66 / 66 )1.08335562742922e-141.66443316383873e-156.5088562939388
Trimmed Mean ( 1 / 66 )-0.0007117206618916640.000664978362736428-1.07029145875196
Trimmed Mean ( 2 / 66 )-0.0006605080923367630.000532977006984401-1.23928065128726
Trimmed Mean ( 3 / 66 )-0.0005389332313591780.0004525894603156-1.19077724652131
Trimmed Mean ( 4 / 66 )-0.0004912392785173830.000395342705728987-1.24256568136642
Trimmed Mean ( 5 / 66 )-0.000420343502878350.000371642863459873-1.13104150303087
Trimmed Mean ( 6 / 66 )-0.000347939306481040.000345065527222543-1.00832821314151
Trimmed Mean ( 7 / 66 )-0.0003138481476969810.000329308506735206-0.953052050821582
Trimmed Mean ( 8 / 66 )-0.0003172595406069160.000321471952852659-0.986896485965996
Trimmed Mean ( 9 / 66 )-0.00032074590918520.000313036489185612-1.0246278637345
Trimmed Mean ( 10 / 66 )-0.000324309752620780.000303930574251861-1.0670520839145
Trimmed Mean ( 11 / 66 )-0.0003253566091454180.000294631960012838-1.10428145382206
Trimmed Mean ( 12 / 66 )-0.0003264272578637980.000284540021982447-1.14721034879211
Trimmed Mean ( 13 / 66 )-0.0003275225191963940.00027353959141815-1.19734959571436
Trimmed Mean ( 14 / 66 )-0.000328643251722770.000261485584165899-1.25683124280482
Trimmed Mean ( 15 / 66 )-0.0003325096429197030.000248880079500717-1.33602353224395
Trimmed Mean ( 16 / 66 )-0.0003364680910498960.00023490229937405-1.43237461679383
Trimmed Mean ( 17 / 66 )-0.0003405219234723820.000219248138100581-1.55313484722122
Trimmed Mean ( 18 / 66 )-0.0003446746298563930.000201478760322364-1.71072439251124
Trimmed Mean ( 19 / 66 )-0.0003489298722005030.00018091445961717-1.92870085088206
Trimmed Mean ( 20 / 66 )-0.0003532914956032160.000156385738235815-2.25910303323495
Trimmed Mean ( 21 / 66 )-0.0003080266173837450.000142420192065727-2.16280158674123
Trimmed Mean ( 22 / 66 )-0.0002616011012612110.00012593211745914-2.07731837230553
Trimmed Mean ( 23 / 66 )-0.0002139697275770520.000105669359651214-2.02489849738192
Trimmed Mean ( 24 / 66 )-0.0001650848966906797.86568975446469e-05-2.0987974588875
Trimmed Mean ( 25 / 66 )-0.0001439335467703036.47607772361519e-05-2.22254199089435
Trimmed Mean ( 26 / 66 )-0.0001212614529010924.97216539855155e-05-2.43880569492755
Trimmed Mean ( 27 / 66 )-0.0001149859338913794.48807438992396e-05-2.56203270938492
Trimmed Mean ( 28 / 66 )-9.64832522351076e-054.11417419031469e-05-2.34514261603804
Trimmed Mean ( 29 / 66 )-9.64832522351076e-053.66990938607894e-05-2.62903636261695
Trimmed Mean ( 30 / 66 )-5.78919447805981e-053.12234085412926e-05-1.85411995311264
Trimmed Mean ( 31 / 66 )-3.77573495869409e-052.39745154705907e-05-1.57489521042699
Trimmed Mean ( 32 / 66 )-2.12820443032814e-051.75226263639478e-05-1.21454648756698
Trimmed Mean ( 33 / 66 )-4.31493886190064e-064.3149388697106e-06-0.999999998190019
Trimmed Mean ( 34 / 66 )7.50914482110094e-152.52519567731304e-152.97368829218459
Trimmed Mean ( 35 / 66 )7.53243621322594e-152.52372796236203e-152.98464665192207
Trimmed Mean ( 36 / 66 )7.55645546135484e-152.52154254047483e-152.99675906317722
Trimmed Mean ( 37 / 66 )7.58123722529736e-152.51857051639968e-153.01013498567227
Trimmed Mean ( 38 / 66 )7.5924929425977e-152.51669093487822e-153.01685552142107
Trimmed Mean ( 39 / 66 )7.60411769980954e-152.51400099480233e-153.02470751424958
Trimmed Mean ( 40 / 66 )7.61242920551301e-152.51092881441102e-153.03171844690413
Trimmed Mean ( 41 / 66 )7.62102245717254e-152.50691093951472e-153.04000526586229
Trimmed Mean ( 42 / 66 )7.6299120278548e-152.50184942271455e-153.04970873090205
Trimmed Mean ( 43 / 66 )7.63911351329786e-152.49563450123428e-153.06099050542848
Trimmed Mean ( 44 / 66 )7.64864362322102e-152.48814281664279e-153.07403721846691
Trimmed Mean ( 45 / 66 )7.65852028259593e-152.47923529763659e-153.08906552350906
Trimmed Mean ( 46 / 66 )7.6687627441699e-152.46875462632609e-153.10632845500011
Trimmed Mean ( 47 / 66 )7.67939171372781e-152.45652218529355e-153.12612349267676
Trimmed Mean ( 48 / 66 )7.69042948980717e-152.44233435129293e-153.14880290069048
Trimmed Mean ( 49 / 66 )7.80203788285584e-152.44008142417336e-153.19744980866734
Trimmed Mean ( 50 / 66 )7.91811061162646e-152.43659951032693e-153.24965616141163
Trimmed Mean ( 51 / 66 )8.03892100279587e-152.43173264570537e-153.3058408032615
Trimmed Mean ( 52 / 66 )8.16476516026402e-152.425302015114e-153.36649419716919
Trimmed Mean ( 53 / 66 )8.29596438826272e-152.41710176904247e-153.43219490983582
Trimmed Mean ( 54 / 66 )8.43286793052224e-152.40689387496736e-153.50363097360768
Trimmed Mean ( 55 / 66 )8.57585607465995e-152.39440172325139e-153.58162792458013
Trimmed Mean ( 56 / 66 )8.72534367989484e-152.37930210673678e-153.66718612789431
Trimmed Mean ( 57 / 66 )8.72534367989484e-152.36121504716361e-153.6952770101885
Trimmed Mean ( 58 / 66 )8.88178419700111e-152.33969072627544e-153.79613600090643
Trimmed Mean ( 59 / 66 )9.21755896542434e-152.31419245459361e-153.98305635606396
Trimmed Mean ( 60 / 66 )9.39803790345182e-152.2840741075929e-154.11459412468715
Trimmed Mean ( 61 / 66 )9.58777217163456e-152.24854965600105e-154.26398062682148
Trimmed Mean ( 62 / 66 )9.78749245393218e-152.20665109125398e-154.43545084799527
Trimmed Mean ( 63 / 66 )9.9980084271648e-152.15716877049068e-154.63478266695406
Trimmed Mean ( 64 / 66 )9.96116769316448e-152.15698848810414e-154.61809033664327
Trimmed Mean ( 65 / 66 )9.92222177436414e-152.15498967929431e-154.60430129652099
Trimmed Mean ( 66 / 66 )9.88098491916377e-152.15083845191551e-154.59401537589394
Median-2.6645352591004e-15
Midrange-1.50435219836709e-14
Midmean - Weighted Average at Xnp4.42517212647037e-15
Midmean - Weighted Average at X(n+1)p4.42517212647037e-15
Midmean - Empirical Distribution Function4.42517212647037e-15
Midmean - Empirical Distribution Function - Averaging4.42517212647037e-15
Midmean - Empirical Distribution Function - Interpolation4.42517212647037e-15
Midmean - Closest Observation4.42517212647037e-15
Midmean - True Basic - Statistics Graphics Toolkit4.42517212647037e-15
Midmean - MS Excel (old versions)4.42517212647037e-15
Number of observations200



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')