## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationFri, 25 Nov 2011 05:07:53 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/25/t1322215710z8dpkbxaz5dpa5g.htm/, Retrieved Fri, 02 Jun 2023 09:55:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147278, Retrieved Fri, 02 Jun 2023 09:55:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Central Tendency] [2011-11-25 10:07:53] [f59ea4acf51788e47c4ec521df29536b] [Current]
- R       [Central Tendency] [] [2011-11-28 17:53:48] [74be16979710d4c4e7c6647856088456]
- R  D      [Central Tendency] [Mean ] [2011-12-10 12:04:37] [4fa66579543b578a51dd12826fe0c6d2]
- R           [Central Tendency] [Mean] [2011-12-10 12:06:58] [4fa66579543b578a51dd12826fe0c6d2]
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Dataseries X:
0
-1.948342641
-1.359385149
1.357954964
-1.700694682
1.449969008
1.319038156
2.051491606
-0.133535063
1.037244962
0.631422616
-1.637925413
-0.867991129
-1.07958031
-0.672654982
-1.05064355
0.333390996
0.487322267
-0.570817054
-0.499534007
0.115264994
1.74691902
0.739021637
0.738226066
-0.412999274
-1.583363411
-0.181363817
0.105418964
-0.463545968
-1.216121966
1.640603862
-0.052871366
1.523685005
1.083344688
-0.469412704
0.721118803
-0.943920679
-0.52258191
0.359348877
-0.247868669
0.562507598
0.648148736
-1.270108506
-0.447026313
1.78025952
0.731000414
1.581054158
-0.098455366
-0.585819713
0.397301065
0.096307367
-1.033663768
-0.793451127
0.871673984
0.803259829
1.249946587
-0.295993913
-1.450053283
0.767875716
0.609240092
0.933296633
-0.679282808
-1.196592669
0.418815652
-0.181297827
0.432789884
-0.06594299
1.739802997
0.328406732
0.120753615
-0.369205393
0.79144574
0.866899133
0.074081225
-2.264885838

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147278&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147278&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147278&T=0

As an alternative you can also use a QR Code:

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

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Gwilym Jenkins' @ jenkins.wessa.net

 Central Tendency - Ungrouped Data Measure Value S.E. Value/S.E. Arithmetic Mean 0.0653162654666667 0.115153146679117 0.567212163543178 Geometric Mean NaN Harmonic Mean 0 Quadratic Mean 0.992735869505112 Winsorized Mean ( 1 / 25 ) 0.0659204136133333 0.113276718314335 0.581941413860602 Winsorized Mean ( 2 / 25 ) 0.0716352791866667 0.111592853315871 0.641934291113593 Winsorized Mean ( 3 / 25 ) 0.0738614090266667 0.111004050049798 0.665393821158158 Winsorized Mean ( 4 / 25 ) 0.0714807619333333 0.109353643335114 0.653666030260016 Winsorized Mean ( 5 / 25 ) 0.0763981235333333 0.106823428767343 0.715181345655226 Winsorized Mean ( 6 / 25 ) 0.0790620420133333 0.104583509124358 0.755970445773839 Winsorized Mean ( 7 / 25 ) 0.0805143689733333 0.101794000754826 0.790953969549294 Winsorized Mean ( 8 / 25 ) 0.07645810188 0.099018813370223 0.772157323216242 Winsorized Mean ( 9 / 25 ) 0.07413160056 0.0977962712133642 0.758020726559865 Winsorized Mean ( 10 / 25 ) 0.0805210392266666 0.093547066585305 0.860754293703481 Winsorized Mean ( 11 / 25 ) 0.0603301521733333 0.0888642483918075 0.678902407493892 Winsorized Mean ( 12 / 25 ) 0.0556709611333333 0.0872712271987119 0.637907394227121 Winsorized Mean ( 13 / 25 ) 0.0532087195333334 0.0820023856313684 0.648867946019602 Winsorized Mean ( 14 / 25 ) 0.0558793410533333 0.0780566384777601 0.715881981892603 Winsorized Mean ( 15 / 25 ) 0.0698323712533333 0.0755776802209151 0.923981406272485 Winsorized Mean ( 16 / 25 ) 0.0806118944533333 0.0699923484935754 1.15172438399796 Winsorized Mean ( 17 / 25 ) 0.0794363415066667 0.0693996899535352 1.14462098548065 Winsorized Mean ( 18 / 25 ) 0.0946200003066667 0.0656276008469943 1.44177143588208 Winsorized Mean ( 19 / 25 ) 0.0911109739066666 0.0640900375872234 1.42160899473134 Winsorized Mean ( 20 / 25 ) 0.103761526706667 0.0622890734014812 1.66580623278623 Winsorized Mean ( 21 / 25 ) 0.108191756986667 0.0611386406320507 1.76961338800113 Winsorized Mean ( 22 / 25 ) 0.114128733306667 0.0595611006814864 1.91616226028109 Winsorized Mean ( 23 / 25 ) 0.0935503784666667 0.0562896995431162 1.66194488913571 Winsorized Mean ( 24 / 25 ) 0.0934843096666667 0.0548734815376251 1.7036336504832 Winsorized Mean ( 25 / 25 ) 0.0974324813333333 0.0523939298029935 1.85961392282826 Trimmed Mean ( 1 / 25 ) 0.0700289608493151 0.110535241566288 0.633544196918578 Trimmed Mean ( 2 / 25 ) 0.0743689755352113 0.107297107639831 0.693112584030213 Trimmed Mean ( 3 / 25 ) 0.0758546800724638 0.104532348256317 0.725657476731179 Trimmed Mean ( 4 / 25 ) 0.0765984379253731 0.101508005717767 0.754604894301122 Trimmed Mean ( 5 / 25 ) 0.0780746906153846 0.0985007910473222 0.792630087385548 Trimmed Mean ( 6 / 25 ) 0.0784738732539682 0.09569306285451 0.820058120339178 Trimmed Mean ( 7 / 25 ) 0.0783533468688525 0.092936021812777 0.843089098721033 Trimmed Mean ( 8 / 25 ) 0.077960909440678 0.0903142659364724 0.863218104385814 Trimmed Mean ( 9 / 25 ) 0.0782080817368421 0.0877865420327191 0.890889194697896 Trimmed Mean ( 10 / 25 ) 0.0788257304 0.084952506544799 0.927879983840523 Trimmed Mean ( 11 / 25 ) 0.0785858282075472 0.0824181997339064 0.953500907096584 Trimmed Mean ( 12 / 25 ) 0.0810264266078431 0.0802834255125819 1.00925472587296 Trimmed Mean ( 13 / 25 ) 0.0842605421020408 0.0779151209903163 1.08144017529682 Trimmed Mean ( 14 / 25 ) 0.0880721406170213 0.0760365925383484 1.15828626292798 Trimmed Mean ( 15 / 25 ) 0.0919046167555556 0.0744372500377634 1.23465894708537 Trimmed Mean ( 16 / 25 ) 0.0944711569302326 0.0728559758985208 1.29668370734364 Trimmed Mean ( 17 / 25 ) 0.0960556762682927 0.0719292345503074 1.33541913616655 Trimmed Mean ( 18 / 25 ) 0.0979356915128205 0.0707127535248554 1.38497918170301 Trimmed Mean ( 19 / 25 ) 0.0983090801621622 0.069824365327993 1.40794806655764 Trimmed Mean ( 20 / 25 ) 0.0991208966571429 0.0688185002044595 1.44032340668069 Trimmed Mean ( 21 / 25 ) 0.0985935523333333 0.0677062248886787 1.45619627287504 Trimmed Mean ( 22 / 25 ) 0.0974877683870968 0.0662604133347613 1.47128222540008 Trimmed Mean ( 23 / 25 ) 0.0955315421034483 0.0644482896764363 1.48229755332633 Trimmed Mean ( 24 / 25 ) 0.0957708130740741 0.0626430402727795 1.52883405174844 Trimmed Mean ( 25 / 25 ) 0.096056626 0.0601830545217866 1.59607428973594 Median 0.096307367 Midrange -0.106697116 Midmean - Weighted Average at Xnp 0.0803056908684211 Midmean - Weighted Average at X(n+1)p 0.0979356915128206 Midmean - Empirical Distribution Function 0.0979356915128206 Midmean - Empirical Distribution Function - Averaging 0.0979356915128206 Midmean - Empirical Distribution Function - Interpolation 0.0983090801621622 Midmean - Closest Observation 0.0803056908684211 Midmean - True Basic - Statistics Graphics Toolkit 0.0979356915128206 Midmean - MS Excel (old versions) 0.0979356915128206 Number of observations 75

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 0.0653162654666667 & 0.115153146679117 & 0.567212163543178 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & 0 &  &  \tabularnewline
Quadratic Mean & 0.992735869505112 &  &  \tabularnewline
Winsorized Mean ( 1 / 25 ) & 0.0659204136133333 & 0.113276718314335 & 0.581941413860602 \tabularnewline
Winsorized Mean ( 2 / 25 ) & 0.0716352791866667 & 0.111592853315871 & 0.641934291113593 \tabularnewline
Winsorized Mean ( 3 / 25 ) & 0.0738614090266667 & 0.111004050049798 & 0.665393821158158 \tabularnewline
Winsorized Mean ( 4 / 25 ) & 0.0714807619333333 & 0.109353643335114 & 0.653666030260016 \tabularnewline
Winsorized Mean ( 5 / 25 ) & 0.0763981235333333 & 0.106823428767343 & 0.715181345655226 \tabularnewline
Winsorized Mean ( 6 / 25 ) & 0.0790620420133333 & 0.104583509124358 & 0.755970445773839 \tabularnewline
Winsorized Mean ( 7 / 25 ) & 0.0805143689733333 & 0.101794000754826 & 0.790953969549294 \tabularnewline
Winsorized Mean ( 8 / 25 ) & 0.07645810188 & 0.099018813370223 & 0.772157323216242 \tabularnewline
Winsorized Mean ( 9 / 25 ) & 0.07413160056 & 0.0977962712133642 & 0.758020726559865 \tabularnewline
Winsorized Mean ( 10 / 25 ) & 0.0805210392266666 & 0.093547066585305 & 0.860754293703481 \tabularnewline
Winsorized Mean ( 11 / 25 ) & 0.0603301521733333 & 0.0888642483918075 & 0.678902407493892 \tabularnewline
Winsorized Mean ( 12 / 25 ) & 0.0556709611333333 & 0.0872712271987119 & 0.637907394227121 \tabularnewline
Winsorized Mean ( 13 / 25 ) & 0.0532087195333334 & 0.0820023856313684 & 0.648867946019602 \tabularnewline
Winsorized Mean ( 14 / 25 ) & 0.0558793410533333 & 0.0780566384777601 & 0.715881981892603 \tabularnewline
Winsorized Mean ( 15 / 25 ) & 0.0698323712533333 & 0.0755776802209151 & 0.923981406272485 \tabularnewline
Winsorized Mean ( 16 / 25 ) & 0.0806118944533333 & 0.0699923484935754 & 1.15172438399796 \tabularnewline
Winsorized Mean ( 17 / 25 ) & 0.0794363415066667 & 0.0693996899535352 & 1.14462098548065 \tabularnewline
Winsorized Mean ( 18 / 25 ) & 0.0946200003066667 & 0.0656276008469943 & 1.44177143588208 \tabularnewline
Winsorized Mean ( 19 / 25 ) & 0.0911109739066666 & 0.0640900375872234 & 1.42160899473134 \tabularnewline
Winsorized Mean ( 20 / 25 ) & 0.103761526706667 & 0.0622890734014812 & 1.66580623278623 \tabularnewline
Winsorized Mean ( 21 / 25 ) & 0.108191756986667 & 0.0611386406320507 & 1.76961338800113 \tabularnewline
Winsorized Mean ( 22 / 25 ) & 0.114128733306667 & 0.0595611006814864 & 1.91616226028109 \tabularnewline
Winsorized Mean ( 23 / 25 ) & 0.0935503784666667 & 0.0562896995431162 & 1.66194488913571 \tabularnewline
Winsorized Mean ( 24 / 25 ) & 0.0934843096666667 & 0.0548734815376251 & 1.7036336504832 \tabularnewline
Winsorized Mean ( 25 / 25 ) & 0.0974324813333333 & 0.0523939298029935 & 1.85961392282826 \tabularnewline
Trimmed Mean ( 1 / 25 ) & 0.0700289608493151 & 0.110535241566288 & 0.633544196918578 \tabularnewline
Trimmed Mean ( 2 / 25 ) & 0.0743689755352113 & 0.107297107639831 & 0.693112584030213 \tabularnewline
Trimmed Mean ( 3 / 25 ) & 0.0758546800724638 & 0.104532348256317 & 0.725657476731179 \tabularnewline
Trimmed Mean ( 4 / 25 ) & 0.0765984379253731 & 0.101508005717767 & 0.754604894301122 \tabularnewline
Trimmed Mean ( 5 / 25 ) & 0.0780746906153846 & 0.0985007910473222 & 0.792630087385548 \tabularnewline
Trimmed Mean ( 6 / 25 ) & 0.0784738732539682 & 0.09569306285451 & 0.820058120339178 \tabularnewline
Trimmed Mean ( 7 / 25 ) & 0.0783533468688525 & 0.092936021812777 & 0.843089098721033 \tabularnewline
Trimmed Mean ( 8 / 25 ) & 0.077960909440678 & 0.0903142659364724 & 0.863218104385814 \tabularnewline
Trimmed Mean ( 9 / 25 ) & 0.0782080817368421 & 0.0877865420327191 & 0.890889194697896 \tabularnewline
Trimmed Mean ( 10 / 25 ) & 0.0788257304 & 0.084952506544799 & 0.927879983840523 \tabularnewline
Trimmed Mean ( 11 / 25 ) & 0.0785858282075472 & 0.0824181997339064 & 0.953500907096584 \tabularnewline
Trimmed Mean ( 12 / 25 ) & 0.0810264266078431 & 0.0802834255125819 & 1.00925472587296 \tabularnewline
Trimmed Mean ( 13 / 25 ) & 0.0842605421020408 & 0.0779151209903163 & 1.08144017529682 \tabularnewline
Trimmed Mean ( 14 / 25 ) & 0.0880721406170213 & 0.0760365925383484 & 1.15828626292798 \tabularnewline
Trimmed Mean ( 15 / 25 ) & 0.0919046167555556 & 0.0744372500377634 & 1.23465894708537 \tabularnewline
Trimmed Mean ( 16 / 25 ) & 0.0944711569302326 & 0.0728559758985208 & 1.29668370734364 \tabularnewline
Trimmed Mean ( 17 / 25 ) & 0.0960556762682927 & 0.0719292345503074 & 1.33541913616655 \tabularnewline
Trimmed Mean ( 18 / 25 ) & 0.0979356915128205 & 0.0707127535248554 & 1.38497918170301 \tabularnewline
Trimmed Mean ( 19 / 25 ) & 0.0983090801621622 & 0.069824365327993 & 1.40794806655764 \tabularnewline
Trimmed Mean ( 20 / 25 ) & 0.0991208966571429 & 0.0688185002044595 & 1.44032340668069 \tabularnewline
Trimmed Mean ( 21 / 25 ) & 0.0985935523333333 & 0.0677062248886787 & 1.45619627287504 \tabularnewline
Trimmed Mean ( 22 / 25 ) & 0.0974877683870968 & 0.0662604133347613 & 1.47128222540008 \tabularnewline
Trimmed Mean ( 23 / 25 ) & 0.0955315421034483 & 0.0644482896764363 & 1.48229755332633 \tabularnewline
Trimmed Mean ( 24 / 25 ) & 0.0957708130740741 & 0.0626430402727795 & 1.52883405174844 \tabularnewline
Trimmed Mean ( 25 / 25 ) & 0.096056626 & 0.0601830545217866 & 1.59607428973594 \tabularnewline
Median & 0.096307367 &  &  \tabularnewline
Midrange & -0.106697116 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 0.0803056908684211 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 0.0979356915128206 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 0.0979356915128206 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 0.0979356915128206 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 0.0983090801621622 &  &  \tabularnewline
Midmean - Closest Observation & 0.0803056908684211 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 0.0979356915128206 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 0.0979356915128206 &  &  \tabularnewline
Number of observations & 75 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147278&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]0.0653162654666667[/C][C]0.115153146679117[/C][C]0.567212163543178[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]0[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 25 )[/C][C]0.0659204136133333[/C][C]0.113276718314335[/C][C]0.581941413860602[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 25 )[/C][C]0.0716352791866667[/C][C]0.111592853315871[/C][C]0.641934291113593[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 25 )[/C][C]0.0738614090266667[/C][C]0.111004050049798[/C][C]0.665393821158158[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 25 )[/C][C]0.0714807619333333[/C][C]0.109353643335114[/C][C]0.653666030260016[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 25 )[/C][C]0.0763981235333333[/C][C]0.106823428767343[/C][C]0.715181345655226[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 25 )[/C][C]0.0790620420133333[/C][C]0.104583509124358[/C][C]0.755970445773839[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 25 )[/C][C]0.0805143689733333[/C][C]0.101794000754826[/C][C]0.790953969549294[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 25 )[/C][C]0.07645810188[/C][C]0.099018813370223[/C][C]0.772157323216242[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 25 )[/C][C]0.07413160056[/C][C]0.0977962712133642[/C][C]0.758020726559865[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 25 )[/C][C]0.0805210392266666[/C][C]0.093547066585305[/C][C]0.860754293703481[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 25 )[/C][C]0.0603301521733333[/C][C]0.0888642483918075[/C][C]0.678902407493892[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 25 )[/C][C]0.0556709611333333[/C][C]0.0872712271987119[/C][C]0.637907394227121[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 25 )[/C][C]0.0532087195333334[/C][C]0.0820023856313684[/C][C]0.648867946019602[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 25 )[/C][C]0.0558793410533333[/C][C]0.0780566384777601[/C][C]0.715881981892603[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 25 )[/C][C]0.0698323712533333[/C][C]0.0755776802209151[/C][C]0.923981406272485[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 25 )[/C][C]0.0806118944533333[/C][C]0.0699923484935754[/C][C]1.15172438399796[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 25 )[/C][C]0.0794363415066667[/C][C]0.0693996899535352[/C][C]1.14462098548065[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 25 )[/C][C]0.0946200003066667[/C][C]0.0656276008469943[/C][C]1.44177143588208[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 25 )[/C][C]0.0911109739066666[/C][C]0.0640900375872234[/C][C]1.42160899473134[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 25 )[/C][C]0.103761526706667[/C][C]0.0622890734014812[/C][C]1.66580623278623[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 25 )[/C][C]0.108191756986667[/C][C]0.0611386406320507[/C][C]1.76961338800113[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 25 )[/C][C]0.114128733306667[/C][C]0.0595611006814864[/C][C]1.91616226028109[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 25 )[/C][C]0.0935503784666667[/C][C]0.0562896995431162[/C][C]1.66194488913571[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 25 )[/C][C]0.0934843096666667[/C][C]0.0548734815376251[/C][C]1.7036336504832[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 25 )[/C][C]0.0974324813333333[/C][C]0.0523939298029935[/C][C]1.85961392282826[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 25 )[/C][C]0.0700289608493151[/C][C]0.110535241566288[/C][C]0.633544196918578[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 25 )[/C][C]0.0743689755352113[/C][C]0.107297107639831[/C][C]0.693112584030213[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 25 )[/C][C]0.0758546800724638[/C][C]0.104532348256317[/C][C]0.725657476731179[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 25 )[/C][C]0.0765984379253731[/C][C]0.101508005717767[/C][C]0.754604894301122[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 25 )[/C][C]0.0780746906153846[/C][C]0.0985007910473222[/C][C]0.792630087385548[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 25 )[/C][C]0.0784738732539682[/C][C]0.09569306285451[/C][C]0.820058120339178[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 25 )[/C][C]0.0783533468688525[/C][C]0.092936021812777[/C][C]0.843089098721033[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 25 )[/C][C]0.077960909440678[/C][C]0.0903142659364724[/C][C]0.863218104385814[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 25 )[/C][C]0.0782080817368421[/C][C]0.0877865420327191[/C][C]0.890889194697896[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 25 )[/C][C]0.0788257304[/C][C]0.084952506544799[/C][C]0.927879983840523[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 25 )[/C][C]0.0785858282075472[/C][C]0.0824181997339064[/C][C]0.953500907096584[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 25 )[/C][C]0.0810264266078431[/C][C]0.0802834255125819[/C][C]1.00925472587296[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 25 )[/C][C]0.0842605421020408[/C][C]0.0779151209903163[/C][C]1.08144017529682[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 25 )[/C][C]0.0880721406170213[/C][C]0.0760365925383484[/C][C]1.15828626292798[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 25 )[/C][C]0.0919046167555556[/C][C]0.0744372500377634[/C][C]1.23465894708537[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 25 )[/C][C]0.0944711569302326[/C][C]0.0728559758985208[/C][C]1.29668370734364[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 25 )[/C][C]0.0960556762682927[/C][C]0.0719292345503074[/C][C]1.33541913616655[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 25 )[/C][C]0.0979356915128205[/C][C]0.0707127535248554[/C][C]1.38497918170301[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 25 )[/C][C]0.0983090801621622[/C][C]0.069824365327993[/C][C]1.40794806655764[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 25 )[/C][C]0.0991208966571429[/C][C]0.0688185002044595[/C][C]1.44032340668069[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 25 )[/C][C]0.0985935523333333[/C][C]0.0677062248886787[/C][C]1.45619627287504[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 25 )[/C][C]0.0974877683870968[/C][C]0.0662604133347613[/C][C]1.47128222540008[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 25 )[/C][C]0.0955315421034483[/C][C]0.0644482896764363[/C][C]1.48229755332633[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 25 )[/C][C]0.0957708130740741[/C][C]0.0626430402727795[/C][C]1.52883405174844[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 25 )[/C][C]0.096056626[/C][C]0.0601830545217866[/C][C]1.59607428973594[/C][/ROW]
[ROW][C]Median[/C][C]0.096307367[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]-0.106697116[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]0.0803056908684211[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]0.0979356915128206[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]0.0979356915128206[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]0.0979356915128206[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]0.0983090801621622[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]0.0803056908684211[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]0.0979356915128206[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]0.0979356915128206[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]75[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147278&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147278&T=1

As an alternative you can also use a QR Code:

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

 Central Tendency - Ungrouped Data Measure Value S.E. Value/S.E. Arithmetic Mean 0.0653162654666667 0.115153146679117 0.567212163543178 Geometric Mean NaN Harmonic Mean 0 Quadratic Mean 0.992735869505112 Winsorized Mean ( 1 / 25 ) 0.0659204136133333 0.113276718314335 0.581941413860602 Winsorized Mean ( 2 / 25 ) 0.0716352791866667 0.111592853315871 0.641934291113593 Winsorized Mean ( 3 / 25 ) 0.0738614090266667 0.111004050049798 0.665393821158158 Winsorized Mean ( 4 / 25 ) 0.0714807619333333 0.109353643335114 0.653666030260016 Winsorized Mean ( 5 / 25 ) 0.0763981235333333 0.106823428767343 0.715181345655226 Winsorized Mean ( 6 / 25 ) 0.0790620420133333 0.104583509124358 0.755970445773839 Winsorized Mean ( 7 / 25 ) 0.0805143689733333 0.101794000754826 0.790953969549294 Winsorized Mean ( 8 / 25 ) 0.07645810188 0.099018813370223 0.772157323216242 Winsorized Mean ( 9 / 25 ) 0.07413160056 0.0977962712133642 0.758020726559865 Winsorized Mean ( 10 / 25 ) 0.0805210392266666 0.093547066585305 0.860754293703481 Winsorized Mean ( 11 / 25 ) 0.0603301521733333 0.0888642483918075 0.678902407493892 Winsorized Mean ( 12 / 25 ) 0.0556709611333333 0.0872712271987119 0.637907394227121 Winsorized Mean ( 13 / 25 ) 0.0532087195333334 0.0820023856313684 0.648867946019602 Winsorized Mean ( 14 / 25 ) 0.0558793410533333 0.0780566384777601 0.715881981892603 Winsorized Mean ( 15 / 25 ) 0.0698323712533333 0.0755776802209151 0.923981406272485 Winsorized Mean ( 16 / 25 ) 0.0806118944533333 0.0699923484935754 1.15172438399796 Winsorized Mean ( 17 / 25 ) 0.0794363415066667 0.0693996899535352 1.14462098548065 Winsorized Mean ( 18 / 25 ) 0.0946200003066667 0.0656276008469943 1.44177143588208 Winsorized Mean ( 19 / 25 ) 0.0911109739066666 0.0640900375872234 1.42160899473134 Winsorized Mean ( 20 / 25 ) 0.103761526706667 0.0622890734014812 1.66580623278623 Winsorized Mean ( 21 / 25 ) 0.108191756986667 0.0611386406320507 1.76961338800113 Winsorized Mean ( 22 / 25 ) 0.114128733306667 0.0595611006814864 1.91616226028109 Winsorized Mean ( 23 / 25 ) 0.0935503784666667 0.0562896995431162 1.66194488913571 Winsorized Mean ( 24 / 25 ) 0.0934843096666667 0.0548734815376251 1.7036336504832 Winsorized Mean ( 25 / 25 ) 0.0974324813333333 0.0523939298029935 1.85961392282826 Trimmed Mean ( 1 / 25 ) 0.0700289608493151 0.110535241566288 0.633544196918578 Trimmed Mean ( 2 / 25 ) 0.0743689755352113 0.107297107639831 0.693112584030213 Trimmed Mean ( 3 / 25 ) 0.0758546800724638 0.104532348256317 0.725657476731179 Trimmed Mean ( 4 / 25 ) 0.0765984379253731 0.101508005717767 0.754604894301122 Trimmed Mean ( 5 / 25 ) 0.0780746906153846 0.0985007910473222 0.792630087385548 Trimmed Mean ( 6 / 25 ) 0.0784738732539682 0.09569306285451 0.820058120339178 Trimmed Mean ( 7 / 25 ) 0.0783533468688525 0.092936021812777 0.843089098721033 Trimmed Mean ( 8 / 25 ) 0.077960909440678 0.0903142659364724 0.863218104385814 Trimmed Mean ( 9 / 25 ) 0.0782080817368421 0.0877865420327191 0.890889194697896 Trimmed Mean ( 10 / 25 ) 0.0788257304 0.084952506544799 0.927879983840523 Trimmed Mean ( 11 / 25 ) 0.0785858282075472 0.0824181997339064 0.953500907096584 Trimmed Mean ( 12 / 25 ) 0.0810264266078431 0.0802834255125819 1.00925472587296 Trimmed Mean ( 13 / 25 ) 0.0842605421020408 0.0779151209903163 1.08144017529682 Trimmed Mean ( 14 / 25 ) 0.0880721406170213 0.0760365925383484 1.15828626292798 Trimmed Mean ( 15 / 25 ) 0.0919046167555556 0.0744372500377634 1.23465894708537 Trimmed Mean ( 16 / 25 ) 0.0944711569302326 0.0728559758985208 1.29668370734364 Trimmed Mean ( 17 / 25 ) 0.0960556762682927 0.0719292345503074 1.33541913616655 Trimmed Mean ( 18 / 25 ) 0.0979356915128205 0.0707127535248554 1.38497918170301 Trimmed Mean ( 19 / 25 ) 0.0983090801621622 0.069824365327993 1.40794806655764 Trimmed Mean ( 20 / 25 ) 0.0991208966571429 0.0688185002044595 1.44032340668069 Trimmed Mean ( 21 / 25 ) 0.0985935523333333 0.0677062248886787 1.45619627287504 Trimmed Mean ( 22 / 25 ) 0.0974877683870968 0.0662604133347613 1.47128222540008 Trimmed Mean ( 23 / 25 ) 0.0955315421034483 0.0644482896764363 1.48229755332633 Trimmed Mean ( 24 / 25 ) 0.0957708130740741 0.0626430402727795 1.52883405174844 Trimmed Mean ( 25 / 25 ) 0.096056626 0.0601830545217866 1.59607428973594 Median 0.096307367 Midrange -0.106697116 Midmean - Weighted Average at Xnp 0.0803056908684211 Midmean - Weighted Average at X(n+1)p 0.0979356915128206 Midmean - Empirical Distribution Function 0.0979356915128206 Midmean - Empirical Distribution Function - Averaging 0.0979356915128206 Midmean - Empirical Distribution Function - Interpolation 0.0983090801621622 Midmean - Closest Observation 0.0803056908684211 Midmean - True Basic - Statistics Graphics Toolkit 0.0979356915128206 Midmean - MS Excel (old versions) 0.0979356915128206 Number of observations 75

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 <- 3nodenom <- n/denomif (nodenom>40) denom <- n/40sqrtn = 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])/nwin[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 <- 3nodenom <- n/denomif (nodenom>40) denom <- n/40sqrtn = 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 - iqvalue <- (1-f)*data[i] + f*data[i+1]}q2 <- function(data,n,p,i,f) {np <- (n+1)*pi <<- floor(np)f <<- np - iqvalue <- (1-f)*data[i] + f*data[i+1]}q3 <- function(data,n,p,i,f) {np <- n*pi <<- floor(np)f <<- np - iif (f==0) {qvalue <- data[i]} else {qvalue <- data[i+1]}}q4 <- function(data,n,p,i,f) {np <- n*pi <<- floor(np)f <<- np - iif (f==0) {qvalue <- (data[i]+data[i+1])/2} else {qvalue <- data[i+1]}}q5 <- function(data,n,p,i,f) {np <- (n-1)*pi <<- floor(np)f <<- np - iif (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+0.5i <<- floor(np)f <<- np - iqvalue <- data[i]}q7 <- function(data,n,p,i,f) {np <- (n+1)*pi <<- floor(np)f <<- np - iif (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)*pi <<- floor(np)f <<- np - iif (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 <- 0myn <- 0roundno4 <- 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 / mynreturn(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)midmbitmap(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')