Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationSun, 14 Mar 2010 14:38:36 -0600
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/Mar/14/t1268599299oxy8ukx4jqvne3i.htm/, Retrieved Wed, 19 Jan 2022 11:41:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74422, Retrieved Wed, 19 Jan 2022 11:41:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W52
Estimated Impact118
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Wisselkoers Robus...] [2010-03-14 20:38:36] [ee335b92128d1ec04d3c346475765c6a] [Current]
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Dataseries X:
0,8833
0,87
0,8758
0,8858
0,917
0,9554
0,9922
0,9778
0,9808
0,9811
1,0014
1,0183
1,0622
1,0773
1,0807
1,0848
1,1582
1,1663
1,1372
1,1139
1,1222
1,1692
1,1702
1,2286
1,2613
1,2646
1,2262
1,1985
1,2007
1,2138
1,2266
1,2176
1,2218
1,249
1,2991
1,3408
1,3119
1,3014
1,3201
1,2938
1,2694
1,2165
1,2037
1,2292
1,2256
1,2015
1,1786
1,1856
1,2103
1,1938
1,202
1,2271
1,277
1,265
1,2684
1,2811
1,2727
1,2611
1,2881
1,3213
1,2999
1,3074
1,3242
1,3516
1,3511
1,3419
1,3716
1,3622
1,3896
1,4227
1,4684
1,457
1,4718
1,4748
1,5527
1,575
1,5557
1,5553
1,577
1,4975
1,4369
1,3322
1,2732
1,3449
1,3239
1,2785
1,305
1,319
1,365
1,4016
1,4088
1,4268
1,4562
1,4816
1,4914
1,4614
1,4272




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74422&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74422&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74422&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean1.258514432989690.016885932247928774.5303495543793
Geometric Mean1.24701367517144
Harmonic Mean1.23481514243779
Quadratic Mean1.26934294420381
Winsorized Mean ( 1 / 32 )1.258553608247420.0168676599832874.6134087060658
Winsorized Mean ( 2 / 32 )1.258310309278350.016755681480184975.0975309936759
Winsorized Mean ( 3 / 32 )1.258375257731960.016735416346472975.1923484710416
Winsorized Mean ( 4 / 32 )1.259554639175260.016426531349462376.6780650387574
Winsorized Mean ( 5 / 32 )1.258688659793810.015516050322286081.1217180693164
Winsorized Mean ( 6 / 32 )1.259696907216490.015180662851129982.9803625552977
Winsorized Mean ( 7 / 32 )1.259206185567010.015028096882416283.7901296098483
Winsorized Mean ( 8 / 32 )1.258670103092780.014937823826807384.2606070125145
Winsorized Mean ( 9 / 32 )1.259421649484540.014698692158638085.6825652168248
Winsorized Mean ( 10 / 32 )1.260019587628870.014467899251830487.0907078973095
Winsorized Mean ( 11 / 32 )1.261142268041240.013997506668857190.0976365203055
Winsorized Mean ( 12 / 32 )1.266028865979380.012978548912347597.5477978724505
Winsorized Mean ( 13 / 32 )1.267945360824740.0126373870894969100.332873547773
Winsorized Mean ( 14 / 32 )1.265650515463920.0121388688638272104.264287691207
Winsorized Mean ( 15 / 32 )1.264784536082470.011820679007196106.997621313676
Winsorized Mean ( 16 / 32 )1.269518556701030.0110782929457432114.595142312863
Winsorized Mean ( 17 / 32 )1.270254639175260.0107614531832244118.037463672230
Winsorized Mean ( 18 / 32 )1.270458762886600.00999195775758778127.148131898559
Winsorized Mean ( 19 / 32 )1.273161855670100.00923494972832818137.863431109396
Winsorized Mean ( 20 / 32 )1.272357731958760.00866644505173446146.814261714395
Winsorized Mean ( 21 / 32 )1.269088659793810.00805232763891286157.605194013833
Winsorized Mean ( 22 / 32 )1.267818556701030.00782685088529905161.983226112349
Winsorized Mean ( 23 / 32 )1.269146391752580.00748598878264012169.536240115094
Winsorized Mean ( 24 / 32 )1.268255670103090.00693513732082214182.873908825895
Winsorized Mean ( 25 / 32 )1.270240206185570.00666132695194625190.688764468232
Winsorized Mean ( 26 / 32 )1.269838144329900.00630355805598402201.447838356058
Winsorized Mean ( 27 / 32 )1.269615463917530.00612849895504793207.165812253548
Winsorized Mean ( 28 / 32 )1.269528865979380.00606252926424419209.405812433246
Winsorized Mean ( 29 / 32 )1.267107216494850.00573539573849186220.927600163827
Winsorized Mean ( 30 / 32 )1.265158762886600.00538537433898512234.924943606616
Winsorized Mean ( 31 / 32 )1.267172164948450.00512705677910938247.153916865452
Winsorized Mean ( 32 / 32 )1.267469072164950.0048958520386039258.886310732213
Trimmed Mean ( 1 / 32 )1.259251578947370.01640318659555576.7687163473837
Trimmed Mean ( 2 / 32 )1.259979569892470.015873965940129679.3739620359915
Trimmed Mean ( 3 / 32 )1.260869230769230.015337293221138482.2093711445416
Trimmed Mean ( 4 / 32 )1.261775280898880.014729061529041885.6656942067211
Trimmed Mean ( 5 / 32 )1.262394252873560.014138235258373789.2893794595671
Trimmed Mean ( 6 / 32 )1.263240.013730059255912592.0054295800667
Trimmed Mean ( 7 / 32 )1.263240.013346911817127894.6466131872474
Trimmed Mean ( 8 / 32 )1.264738271604940.012938753346923997.7480780175487
Trimmed Mean ( 9 / 32 )1.265669620253160.0124829019517655101.392258398229
Trimmed Mean ( 10 / 32 )1.266544155844160.0120011255586148105.535447459342
Trimmed Mean ( 11 / 32 )1.2673880.0114824227534213110.376357604702
Trimmed Mean ( 12 / 32 )1.268142465753420.0109657211008244115.646062314870
Trimmed Mean ( 13 / 32 )1.268383098591550.0105572584595029120.143226904693
Trimmed Mean ( 14 / 32 )1.268383098591550.0101370275628766125.123769342068
Trimmed Mean ( 15 / 32 )1.268717910447760.00972852351188358130.412174971669
Trimmed Mean ( 16 / 32 )1.269109230769230.00929697265736089136.507794261868
Trimmed Mean ( 17 / 32 )1.269069841269840.00891743737712319142.313288851965
Trimmed Mean ( 18 / 32 )1.268959016393440.00851604219916586149.008070499901
Trimmed Mean ( 19 / 32 )1.268822033898310.00817182944156054155.267806673166
Trimmed Mean ( 20 / 32 )1.268433333333330.00788865986524372160.791991922717
Trimmed Mean ( 21 / 32 )1.268087272727270.00764362019335333165.901397590368
Trimmed Mean ( 22 / 32 )1.2680.00745153815663953170.166209089351
Trimmed Mean ( 23 / 32 )1.268015686274510.00725053635476418174.885777304092
Trimmed Mean ( 24 / 32 )1.267918367346940.00705866734152737179.625743217498
Trimmed Mean ( 25 / 32 )1.267918367346940.00691593919370417183.332781251341
Trimmed Mean ( 26 / 32 )1.267686666666670.00677912094655943186.998679719684
Trimmed Mean ( 27 / 32 )1.26750.00666571034115341190.152277121102
Trimmed Mean ( 28 / 32 )1.26750.00654462315240684193.670433038435
Trimmed Mean ( 29 / 32 )1.267117948717950.00638990946251996198.299828213566
Trimmed Mean ( 30 / 32 )1.267118918918920.00625025145180403202.73087070012
Trimmed Mean ( 31 / 32 )1.267118918918920.00613257454811886206.621038028409
Trimmed Mean ( 32 / 32 )1.267312121212120.00602248903664511210.429959025395
Median1.2694
Midrange1.2235
Midmean - Weighted Average at Xnp1.266175
Midmean - Weighted Average at X(n+1)p1.26791836734694
Midmean - Empirical Distribution Function1.26791836734694
Midmean - Empirical Distribution Function - Averaging1.26791836734694
Midmean - Empirical Distribution Function - Interpolation1.26791836734694
Midmean - Closest Observation1.266132
Midmean - True Basic - Statistics Graphics Toolkit1.26791836734694
Midmean - MS Excel (old versions)1.26791836734694
Number of observations97

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 1.25851443298969 & 0.0168859322479287 & 74.5303495543793 \tabularnewline
Geometric Mean & 1.24701367517144 &  &  \tabularnewline
Harmonic Mean & 1.23481514243779 &  &  \tabularnewline
Quadratic Mean & 1.26934294420381 &  &  \tabularnewline
Winsorized Mean ( 1 / 32 ) & 1.25855360824742 & 0.01686765998328 & 74.6134087060658 \tabularnewline
Winsorized Mean ( 2 / 32 ) & 1.25831030927835 & 0.0167556814801849 & 75.0975309936759 \tabularnewline
Winsorized Mean ( 3 / 32 ) & 1.25837525773196 & 0.0167354163464729 & 75.1923484710416 \tabularnewline
Winsorized Mean ( 4 / 32 ) & 1.25955463917526 & 0.0164265313494623 & 76.6780650387574 \tabularnewline
Winsorized Mean ( 5 / 32 ) & 1.25868865979381 & 0.0155160503222860 & 81.1217180693164 \tabularnewline
Winsorized Mean ( 6 / 32 ) & 1.25969690721649 & 0.0151806628511299 & 82.9803625552977 \tabularnewline
Winsorized Mean ( 7 / 32 ) & 1.25920618556701 & 0.0150280968824162 & 83.7901296098483 \tabularnewline
Winsorized Mean ( 8 / 32 ) & 1.25867010309278 & 0.0149378238268073 & 84.2606070125145 \tabularnewline
Winsorized Mean ( 9 / 32 ) & 1.25942164948454 & 0.0146986921586380 & 85.6825652168248 \tabularnewline
Winsorized Mean ( 10 / 32 ) & 1.26001958762887 & 0.0144678992518304 & 87.0907078973095 \tabularnewline
Winsorized Mean ( 11 / 32 ) & 1.26114226804124 & 0.0139975066688571 & 90.0976365203055 \tabularnewline
Winsorized Mean ( 12 / 32 ) & 1.26602886597938 & 0.0129785489123475 & 97.5477978724505 \tabularnewline
Winsorized Mean ( 13 / 32 ) & 1.26794536082474 & 0.0126373870894969 & 100.332873547773 \tabularnewline
Winsorized Mean ( 14 / 32 ) & 1.26565051546392 & 0.0121388688638272 & 104.264287691207 \tabularnewline
Winsorized Mean ( 15 / 32 ) & 1.26478453608247 & 0.011820679007196 & 106.997621313676 \tabularnewline
Winsorized Mean ( 16 / 32 ) & 1.26951855670103 & 0.0110782929457432 & 114.595142312863 \tabularnewline
Winsorized Mean ( 17 / 32 ) & 1.27025463917526 & 0.0107614531832244 & 118.037463672230 \tabularnewline
Winsorized Mean ( 18 / 32 ) & 1.27045876288660 & 0.00999195775758778 & 127.148131898559 \tabularnewline
Winsorized Mean ( 19 / 32 ) & 1.27316185567010 & 0.00923494972832818 & 137.863431109396 \tabularnewline
Winsorized Mean ( 20 / 32 ) & 1.27235773195876 & 0.00866644505173446 & 146.814261714395 \tabularnewline
Winsorized Mean ( 21 / 32 ) & 1.26908865979381 & 0.00805232763891286 & 157.605194013833 \tabularnewline
Winsorized Mean ( 22 / 32 ) & 1.26781855670103 & 0.00782685088529905 & 161.983226112349 \tabularnewline
Winsorized Mean ( 23 / 32 ) & 1.26914639175258 & 0.00748598878264012 & 169.536240115094 \tabularnewline
Winsorized Mean ( 24 / 32 ) & 1.26825567010309 & 0.00693513732082214 & 182.873908825895 \tabularnewline
Winsorized Mean ( 25 / 32 ) & 1.27024020618557 & 0.00666132695194625 & 190.688764468232 \tabularnewline
Winsorized Mean ( 26 / 32 ) & 1.26983814432990 & 0.00630355805598402 & 201.447838356058 \tabularnewline
Winsorized Mean ( 27 / 32 ) & 1.26961546391753 & 0.00612849895504793 & 207.165812253548 \tabularnewline
Winsorized Mean ( 28 / 32 ) & 1.26952886597938 & 0.00606252926424419 & 209.405812433246 \tabularnewline
Winsorized Mean ( 29 / 32 ) & 1.26710721649485 & 0.00573539573849186 & 220.927600163827 \tabularnewline
Winsorized Mean ( 30 / 32 ) & 1.26515876288660 & 0.00538537433898512 & 234.924943606616 \tabularnewline
Winsorized Mean ( 31 / 32 ) & 1.26717216494845 & 0.00512705677910938 & 247.153916865452 \tabularnewline
Winsorized Mean ( 32 / 32 ) & 1.26746907216495 & 0.0048958520386039 & 258.886310732213 \tabularnewline
Trimmed Mean ( 1 / 32 ) & 1.25925157894737 & 0.016403186595555 & 76.7687163473837 \tabularnewline
Trimmed Mean ( 2 / 32 ) & 1.25997956989247 & 0.0158739659401296 & 79.3739620359915 \tabularnewline
Trimmed Mean ( 3 / 32 ) & 1.26086923076923 & 0.0153372932211384 & 82.2093711445416 \tabularnewline
Trimmed Mean ( 4 / 32 ) & 1.26177528089888 & 0.0147290615290418 & 85.6656942067211 \tabularnewline
Trimmed Mean ( 5 / 32 ) & 1.26239425287356 & 0.0141382352583737 & 89.2893794595671 \tabularnewline
Trimmed Mean ( 6 / 32 ) & 1.26324 & 0.0137300592559125 & 92.0054295800667 \tabularnewline
Trimmed Mean ( 7 / 32 ) & 1.26324 & 0.0133469118171278 & 94.6466131872474 \tabularnewline
Trimmed Mean ( 8 / 32 ) & 1.26473827160494 & 0.0129387533469239 & 97.7480780175487 \tabularnewline
Trimmed Mean ( 9 / 32 ) & 1.26566962025316 & 0.0124829019517655 & 101.392258398229 \tabularnewline
Trimmed Mean ( 10 / 32 ) & 1.26654415584416 & 0.0120011255586148 & 105.535447459342 \tabularnewline
Trimmed Mean ( 11 / 32 ) & 1.267388 & 0.0114824227534213 & 110.376357604702 \tabularnewline
Trimmed Mean ( 12 / 32 ) & 1.26814246575342 & 0.0109657211008244 & 115.646062314870 \tabularnewline
Trimmed Mean ( 13 / 32 ) & 1.26838309859155 & 0.0105572584595029 & 120.143226904693 \tabularnewline
Trimmed Mean ( 14 / 32 ) & 1.26838309859155 & 0.0101370275628766 & 125.123769342068 \tabularnewline
Trimmed Mean ( 15 / 32 ) & 1.26871791044776 & 0.00972852351188358 & 130.412174971669 \tabularnewline
Trimmed Mean ( 16 / 32 ) & 1.26910923076923 & 0.00929697265736089 & 136.507794261868 \tabularnewline
Trimmed Mean ( 17 / 32 ) & 1.26906984126984 & 0.00891743737712319 & 142.313288851965 \tabularnewline
Trimmed Mean ( 18 / 32 ) & 1.26895901639344 & 0.00851604219916586 & 149.008070499901 \tabularnewline
Trimmed Mean ( 19 / 32 ) & 1.26882203389831 & 0.00817182944156054 & 155.267806673166 \tabularnewline
Trimmed Mean ( 20 / 32 ) & 1.26843333333333 & 0.00788865986524372 & 160.791991922717 \tabularnewline
Trimmed Mean ( 21 / 32 ) & 1.26808727272727 & 0.00764362019335333 & 165.901397590368 \tabularnewline
Trimmed Mean ( 22 / 32 ) & 1.268 & 0.00745153815663953 & 170.166209089351 \tabularnewline
Trimmed Mean ( 23 / 32 ) & 1.26801568627451 & 0.00725053635476418 & 174.885777304092 \tabularnewline
Trimmed Mean ( 24 / 32 ) & 1.26791836734694 & 0.00705866734152737 & 179.625743217498 \tabularnewline
Trimmed Mean ( 25 / 32 ) & 1.26791836734694 & 0.00691593919370417 & 183.332781251341 \tabularnewline
Trimmed Mean ( 26 / 32 ) & 1.26768666666667 & 0.00677912094655943 & 186.998679719684 \tabularnewline
Trimmed Mean ( 27 / 32 ) & 1.2675 & 0.00666571034115341 & 190.152277121102 \tabularnewline
Trimmed Mean ( 28 / 32 ) & 1.2675 & 0.00654462315240684 & 193.670433038435 \tabularnewline
Trimmed Mean ( 29 / 32 ) & 1.26711794871795 & 0.00638990946251996 & 198.299828213566 \tabularnewline
Trimmed Mean ( 30 / 32 ) & 1.26711891891892 & 0.00625025145180403 & 202.73087070012 \tabularnewline
Trimmed Mean ( 31 / 32 ) & 1.26711891891892 & 0.00613257454811886 & 206.621038028409 \tabularnewline
Trimmed Mean ( 32 / 32 ) & 1.26731212121212 & 0.00602248903664511 & 210.429959025395 \tabularnewline
Median & 1.2694 &  &  \tabularnewline
Midrange & 1.2235 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 1.266175 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 1.26791836734694 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 1.26791836734694 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 1.26791836734694 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 1.26791836734694 &  &  \tabularnewline
Midmean - Closest Observation & 1.266132 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 1.26791836734694 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 1.26791836734694 &  &  \tabularnewline
Number of observations & 97 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74422&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]1.25851443298969[/C][C]0.0168859322479287[/C][C]74.5303495543793[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]1.24701367517144[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]1.23481514243779[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]1.26934294420381[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 32 )[/C][C]1.25855360824742[/C][C]0.01686765998328[/C][C]74.6134087060658[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 32 )[/C][C]1.25831030927835[/C][C]0.0167556814801849[/C][C]75.0975309936759[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 32 )[/C][C]1.25837525773196[/C][C]0.0167354163464729[/C][C]75.1923484710416[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 32 )[/C][C]1.25955463917526[/C][C]0.0164265313494623[/C][C]76.6780650387574[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 32 )[/C][C]1.25868865979381[/C][C]0.0155160503222860[/C][C]81.1217180693164[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 32 )[/C][C]1.25969690721649[/C][C]0.0151806628511299[/C][C]82.9803625552977[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 32 )[/C][C]1.25920618556701[/C][C]0.0150280968824162[/C][C]83.7901296098483[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 32 )[/C][C]1.25867010309278[/C][C]0.0149378238268073[/C][C]84.2606070125145[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 32 )[/C][C]1.25942164948454[/C][C]0.0146986921586380[/C][C]85.6825652168248[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 32 )[/C][C]1.26001958762887[/C][C]0.0144678992518304[/C][C]87.0907078973095[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 32 )[/C][C]1.26114226804124[/C][C]0.0139975066688571[/C][C]90.0976365203055[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 32 )[/C][C]1.26602886597938[/C][C]0.0129785489123475[/C][C]97.5477978724505[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 32 )[/C][C]1.26794536082474[/C][C]0.0126373870894969[/C][C]100.332873547773[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 32 )[/C][C]1.26565051546392[/C][C]0.0121388688638272[/C][C]104.264287691207[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 32 )[/C][C]1.26478453608247[/C][C]0.011820679007196[/C][C]106.997621313676[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 32 )[/C][C]1.26951855670103[/C][C]0.0110782929457432[/C][C]114.595142312863[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 32 )[/C][C]1.27025463917526[/C][C]0.0107614531832244[/C][C]118.037463672230[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 32 )[/C][C]1.27045876288660[/C][C]0.00999195775758778[/C][C]127.148131898559[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 32 )[/C][C]1.27316185567010[/C][C]0.00923494972832818[/C][C]137.863431109396[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 32 )[/C][C]1.27235773195876[/C][C]0.00866644505173446[/C][C]146.814261714395[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 32 )[/C][C]1.26908865979381[/C][C]0.00805232763891286[/C][C]157.605194013833[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 32 )[/C][C]1.26781855670103[/C][C]0.00782685088529905[/C][C]161.983226112349[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 32 )[/C][C]1.26914639175258[/C][C]0.00748598878264012[/C][C]169.536240115094[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 32 )[/C][C]1.26825567010309[/C][C]0.00693513732082214[/C][C]182.873908825895[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 32 )[/C][C]1.27024020618557[/C][C]0.00666132695194625[/C][C]190.688764468232[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 32 )[/C][C]1.26983814432990[/C][C]0.00630355805598402[/C][C]201.447838356058[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 32 )[/C][C]1.26961546391753[/C][C]0.00612849895504793[/C][C]207.165812253548[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 32 )[/C][C]1.26952886597938[/C][C]0.00606252926424419[/C][C]209.405812433246[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 32 )[/C][C]1.26710721649485[/C][C]0.00573539573849186[/C][C]220.927600163827[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 32 )[/C][C]1.26515876288660[/C][C]0.00538537433898512[/C][C]234.924943606616[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 32 )[/C][C]1.26717216494845[/C][C]0.00512705677910938[/C][C]247.153916865452[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 32 )[/C][C]1.26746907216495[/C][C]0.0048958520386039[/C][C]258.886310732213[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 32 )[/C][C]1.25925157894737[/C][C]0.016403186595555[/C][C]76.7687163473837[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 32 )[/C][C]1.25997956989247[/C][C]0.0158739659401296[/C][C]79.3739620359915[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 32 )[/C][C]1.26086923076923[/C][C]0.0153372932211384[/C][C]82.2093711445416[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 32 )[/C][C]1.26177528089888[/C][C]0.0147290615290418[/C][C]85.6656942067211[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 32 )[/C][C]1.26239425287356[/C][C]0.0141382352583737[/C][C]89.2893794595671[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 32 )[/C][C]1.26324[/C][C]0.0137300592559125[/C][C]92.0054295800667[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 32 )[/C][C]1.26324[/C][C]0.0133469118171278[/C][C]94.6466131872474[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 32 )[/C][C]1.26473827160494[/C][C]0.0129387533469239[/C][C]97.7480780175487[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 32 )[/C][C]1.26566962025316[/C][C]0.0124829019517655[/C][C]101.392258398229[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 32 )[/C][C]1.26654415584416[/C][C]0.0120011255586148[/C][C]105.535447459342[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 32 )[/C][C]1.267388[/C][C]0.0114824227534213[/C][C]110.376357604702[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 32 )[/C][C]1.26814246575342[/C][C]0.0109657211008244[/C][C]115.646062314870[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 32 )[/C][C]1.26838309859155[/C][C]0.0105572584595029[/C][C]120.143226904693[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 32 )[/C][C]1.26838309859155[/C][C]0.0101370275628766[/C][C]125.123769342068[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 32 )[/C][C]1.26871791044776[/C][C]0.00972852351188358[/C][C]130.412174971669[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 32 )[/C][C]1.26910923076923[/C][C]0.00929697265736089[/C][C]136.507794261868[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 32 )[/C][C]1.26906984126984[/C][C]0.00891743737712319[/C][C]142.313288851965[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 32 )[/C][C]1.26895901639344[/C][C]0.00851604219916586[/C][C]149.008070499901[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 32 )[/C][C]1.26882203389831[/C][C]0.00817182944156054[/C][C]155.267806673166[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 32 )[/C][C]1.26843333333333[/C][C]0.00788865986524372[/C][C]160.791991922717[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 32 )[/C][C]1.26808727272727[/C][C]0.00764362019335333[/C][C]165.901397590368[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 32 )[/C][C]1.268[/C][C]0.00745153815663953[/C][C]170.166209089351[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 32 )[/C][C]1.26801568627451[/C][C]0.00725053635476418[/C][C]174.885777304092[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 32 )[/C][C]1.26791836734694[/C][C]0.00705866734152737[/C][C]179.625743217498[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 32 )[/C][C]1.26791836734694[/C][C]0.00691593919370417[/C][C]183.332781251341[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 32 )[/C][C]1.26768666666667[/C][C]0.00677912094655943[/C][C]186.998679719684[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 32 )[/C][C]1.2675[/C][C]0.00666571034115341[/C][C]190.152277121102[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 32 )[/C][C]1.2675[/C][C]0.00654462315240684[/C][C]193.670433038435[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 32 )[/C][C]1.26711794871795[/C][C]0.00638990946251996[/C][C]198.299828213566[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 32 )[/C][C]1.26711891891892[/C][C]0.00625025145180403[/C][C]202.73087070012[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 32 )[/C][C]1.26711891891892[/C][C]0.00613257454811886[/C][C]206.621038028409[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 32 )[/C][C]1.26731212121212[/C][C]0.00602248903664511[/C][C]210.429959025395[/C][/ROW]
[ROW][C]Median[/C][C]1.2694[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]1.2235[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]1.266175[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]1.26791836734694[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]1.26791836734694[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]1.26791836734694[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]1.26791836734694[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]1.266132[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]1.26791836734694[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]1.26791836734694[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]97[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74422&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74422&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 Mean1.258514432989690.016885932247928774.5303495543793
Geometric Mean1.24701367517144
Harmonic Mean1.23481514243779
Quadratic Mean1.26934294420381
Winsorized Mean ( 1 / 32 )1.258553608247420.0168676599832874.6134087060658
Winsorized Mean ( 2 / 32 )1.258310309278350.016755681480184975.0975309936759
Winsorized Mean ( 3 / 32 )1.258375257731960.016735416346472975.1923484710416
Winsorized Mean ( 4 / 32 )1.259554639175260.016426531349462376.6780650387574
Winsorized Mean ( 5 / 32 )1.258688659793810.015516050322286081.1217180693164
Winsorized Mean ( 6 / 32 )1.259696907216490.015180662851129982.9803625552977
Winsorized Mean ( 7 / 32 )1.259206185567010.015028096882416283.7901296098483
Winsorized Mean ( 8 / 32 )1.258670103092780.014937823826807384.2606070125145
Winsorized Mean ( 9 / 32 )1.259421649484540.014698692158638085.6825652168248
Winsorized Mean ( 10 / 32 )1.260019587628870.014467899251830487.0907078973095
Winsorized Mean ( 11 / 32 )1.261142268041240.013997506668857190.0976365203055
Winsorized Mean ( 12 / 32 )1.266028865979380.012978548912347597.5477978724505
Winsorized Mean ( 13 / 32 )1.267945360824740.0126373870894969100.332873547773
Winsorized Mean ( 14 / 32 )1.265650515463920.0121388688638272104.264287691207
Winsorized Mean ( 15 / 32 )1.264784536082470.011820679007196106.997621313676
Winsorized Mean ( 16 / 32 )1.269518556701030.0110782929457432114.595142312863
Winsorized Mean ( 17 / 32 )1.270254639175260.0107614531832244118.037463672230
Winsorized Mean ( 18 / 32 )1.270458762886600.00999195775758778127.148131898559
Winsorized Mean ( 19 / 32 )1.273161855670100.00923494972832818137.863431109396
Winsorized Mean ( 20 / 32 )1.272357731958760.00866644505173446146.814261714395
Winsorized Mean ( 21 / 32 )1.269088659793810.00805232763891286157.605194013833
Winsorized Mean ( 22 / 32 )1.267818556701030.00782685088529905161.983226112349
Winsorized Mean ( 23 / 32 )1.269146391752580.00748598878264012169.536240115094
Winsorized Mean ( 24 / 32 )1.268255670103090.00693513732082214182.873908825895
Winsorized Mean ( 25 / 32 )1.270240206185570.00666132695194625190.688764468232
Winsorized Mean ( 26 / 32 )1.269838144329900.00630355805598402201.447838356058
Winsorized Mean ( 27 / 32 )1.269615463917530.00612849895504793207.165812253548
Winsorized Mean ( 28 / 32 )1.269528865979380.00606252926424419209.405812433246
Winsorized Mean ( 29 / 32 )1.267107216494850.00573539573849186220.927600163827
Winsorized Mean ( 30 / 32 )1.265158762886600.00538537433898512234.924943606616
Winsorized Mean ( 31 / 32 )1.267172164948450.00512705677910938247.153916865452
Winsorized Mean ( 32 / 32 )1.267469072164950.0048958520386039258.886310732213
Trimmed Mean ( 1 / 32 )1.259251578947370.01640318659555576.7687163473837
Trimmed Mean ( 2 / 32 )1.259979569892470.015873965940129679.3739620359915
Trimmed Mean ( 3 / 32 )1.260869230769230.015337293221138482.2093711445416
Trimmed Mean ( 4 / 32 )1.261775280898880.014729061529041885.6656942067211
Trimmed Mean ( 5 / 32 )1.262394252873560.014138235258373789.2893794595671
Trimmed Mean ( 6 / 32 )1.263240.013730059255912592.0054295800667
Trimmed Mean ( 7 / 32 )1.263240.013346911817127894.6466131872474
Trimmed Mean ( 8 / 32 )1.264738271604940.012938753346923997.7480780175487
Trimmed Mean ( 9 / 32 )1.265669620253160.0124829019517655101.392258398229
Trimmed Mean ( 10 / 32 )1.266544155844160.0120011255586148105.535447459342
Trimmed Mean ( 11 / 32 )1.2673880.0114824227534213110.376357604702
Trimmed Mean ( 12 / 32 )1.268142465753420.0109657211008244115.646062314870
Trimmed Mean ( 13 / 32 )1.268383098591550.0105572584595029120.143226904693
Trimmed Mean ( 14 / 32 )1.268383098591550.0101370275628766125.123769342068
Trimmed Mean ( 15 / 32 )1.268717910447760.00972852351188358130.412174971669
Trimmed Mean ( 16 / 32 )1.269109230769230.00929697265736089136.507794261868
Trimmed Mean ( 17 / 32 )1.269069841269840.00891743737712319142.313288851965
Trimmed Mean ( 18 / 32 )1.268959016393440.00851604219916586149.008070499901
Trimmed Mean ( 19 / 32 )1.268822033898310.00817182944156054155.267806673166
Trimmed Mean ( 20 / 32 )1.268433333333330.00788865986524372160.791991922717
Trimmed Mean ( 21 / 32 )1.268087272727270.00764362019335333165.901397590368
Trimmed Mean ( 22 / 32 )1.2680.00745153815663953170.166209089351
Trimmed Mean ( 23 / 32 )1.268015686274510.00725053635476418174.885777304092
Trimmed Mean ( 24 / 32 )1.267918367346940.00705866734152737179.625743217498
Trimmed Mean ( 25 / 32 )1.267918367346940.00691593919370417183.332781251341
Trimmed Mean ( 26 / 32 )1.267686666666670.00677912094655943186.998679719684
Trimmed Mean ( 27 / 32 )1.26750.00666571034115341190.152277121102
Trimmed Mean ( 28 / 32 )1.26750.00654462315240684193.670433038435
Trimmed Mean ( 29 / 32 )1.267117948717950.00638990946251996198.299828213566
Trimmed Mean ( 30 / 32 )1.267118918918920.00625025145180403202.73087070012
Trimmed Mean ( 31 / 32 )1.267118918918920.00613257454811886206.621038028409
Trimmed Mean ( 32 / 32 )1.267312121212120.00602248903664511210.429959025395
Median1.2694
Midrange1.2235
Midmean - Weighted Average at Xnp1.266175
Midmean - Weighted Average at X(n+1)p1.26791836734694
Midmean - Empirical Distribution Function1.26791836734694
Midmean - Empirical Distribution Function - Averaging1.26791836734694
Midmean - Empirical Distribution Function - Interpolation1.26791836734694
Midmean - Closest Observation1.266132
Midmean - True Basic - Statistics Graphics Toolkit1.26791836734694
Midmean - MS Excel (old versions)1.26791836734694
Number of observations97



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')