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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationTue, 18 Aug 2009 07:02:34 -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/2009/Aug/18/t1250600646kv1bwtc4e38735m.htm/, Retrieved Mon, 06 May 2024 18:44:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42804, Retrieved Mon, 06 May 2024 18:44:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [huur niet-sociale...] [2009-08-18 09:24:53] [9bfa6cce6cc5e8bbb612e3eff9d9524a]
- RMP   [Histogram] [frequentietabl- s...] [2009-08-18 10:28:11] [87b6fd9e7a53f2856f695d138cdb3a23]
- RMPD    [Mean versus Median] [median vs mean- m...] [2009-08-18 12:42:02] [87b6fd9e7a53f2856f695d138cdb3a23]
- RM D        [Central Tendency] [centrum maten-huu...] [2009-08-18 13:02:34] [b8e5917cf12776624abfb4c0afd3dea9] [Current]
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Dataseries X:
102,2
102,4
102,4
102,5
102,5
102,6
102,8
102,9
102,9
103,1
103,2
103,3
103,6
103,7
103,8
104
104
104,1
104,2
104,3
104,4
104,5
104,7
104,7
104,9
105
105,2
105,3
105,4
105,5
105,7
105,8
105,9
106
106,1
106,2
106,6
106,8
107
107,1
107,3
107,4
107,6
107,7
107,9
108,2
108,3
108,5
108,92
109,23
109,41
109,65
109,91
110,01
110,2
110,49
110,57
110,72
110,94
111,09
111,28
111,41
111,62
111,76
111,89
112,04
112,12
112,3
112,47
112,59
112,78
112,73
112,99
113,1
113,33
113,38
113,68
113,65
113,81
113,88
114,02
114,25
114,28
114,38
114,73
114,97
115,05
115,29
115,37
115,54
115,76
115,92
116,02
116,21
116,26
116,51




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42804&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42804&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42804&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean108.9448958333330.452261398632251240.889220620662
Geometric Mean108.855834421046
Harmonic Mean108.766954368993
Quadratic Mean109.034039013244
Winsorized Mean ( 1 / 32 )108.9443750.451487570803353241.300939483562
Winsorized Mean ( 2 / 32 )108.9433333333330.451310461922761241.393325714613
Winsorized Mean ( 3 / 32 )108.9405208333330.449841525940351242.175331869603
Winsorized Mean ( 4 / 32 )108.9363541666670.449155423803691242.535987307322
Winsorized Mean ( 5 / 32 )108.9332291666670.447022446716312243.686262215368
Winsorized Mean ( 6 / 32 )108.9319791666670.442994807595794245.898997683197
Winsorized Mean ( 7 / 32 )108.9268750.440009327864144247.555831438264
Winsorized Mean ( 8 / 32 )108.9202083333330.438986396783172248.11750234514
Winsorized Mean ( 9 / 32 )108.9164583333330.432910564159241251.591130710475
Winsorized Mean ( 10 / 32 )108.9185416666670.430206804083769253.17717114827
Winsorized Mean ( 11 / 32 )108.90250.424586589437096256.490672831612
Winsorized Mean ( 12 / 32 )108.896250.413234201733661263.521870995049
Winsorized Mean ( 13 / 32 )108.896250.409533598915096265.903091439821
Winsorized Mean ( 14 / 32 )108.9064583333330.406991636923395267.588934152551
Winsorized Mean ( 15 / 32 )108.9017708333330.397985469704999273.632529634952
Winsorized Mean ( 16 / 32 )108.87843750.394850441598856275.746019326006
Winsorized Mean ( 17 / 32 )108.883750.390909708525253278.539385503561
Winsorized Mean ( 18 / 32 )108.8781250.385288064722984282.588886002170
Winsorized Mean ( 19 / 32 )108.8919791666670.381992313570588285.06327299841
Winsorized Mean ( 20 / 32 )108.85656250.3720728396231292.567881628417
Winsorized Mean ( 21 / 32 )108.86750.367929037065287295.892656008778
Winsorized Mean ( 22 / 32 )108.8606250.355569003237904306.158928389952
Winsorized Mean ( 23 / 32 )108.8342708333330.352278882520642308.943499691487
Winsorized Mean ( 24 / 32 )108.8317708333330.339671345115833320.403155574457
Winsorized Mean ( 25 / 32 )108.8447916666670.334919733090339324.987693804555
Winsorized Mean ( 26 / 32 )108.8610416666670.323809509167565336.188526231122
Winsorized Mean ( 27 / 32 )108.8554166666670.316397308687107344.046594828392
Winsorized Mean ( 28 / 32 )108.8350.307027736046362354.479375060649
Winsorized Mean ( 29 / 32 )108.8108333333330.297058335972516366.294495581502
Winsorized Mean ( 30 / 32 )108.8483333333330.286850932720009379.459576098288
Winsorized Mean ( 31 / 32 )108.83218750.277481910392095392.213630597451
Winsorized Mean ( 32 / 32 )108.82218750.268648673396415405.072491608486
Trimmed Mean ( 1 / 32 )108.9361702127660.449035752459167242.600215275001
Trimmed Mean ( 2 / 32 )108.9276086956520.446131896020721244.160100784619
Trimmed Mean ( 3 / 32 )108.9192222222220.442817650230036245.968565538525
Trimmed Mean ( 4 / 32 )108.9114772727270.439528683274983247.791512629425
Trimmed Mean ( 5 / 32 )108.9045348837210.435873783390609249.853372773572
Trimmed Mean ( 6 / 32 )108.8979761904760.432150481236157251.990871047918
Trimmed Mean ( 7 / 32 )108.8913414634150.428709215850731253.998135419904
Trimmed Mean ( 8 / 32 )108.885250.425245944287434256.052412639594
Trimmed Mean ( 9 / 32 )108.8798717948720.421299643638501258.438081871004
Trimmed Mean ( 10 / 32 )108.8747368421050.417710109907271260.646640480583
Trimmed Mean ( 11 / 32 )108.8690540540540.413845135239567263.067134982828
Trimmed Mean ( 12 / 32 )108.8650.41011811726568265.447917116707
Trimmed Mean ( 13 / 32 )108.8614285714290.407407106139666267.205522267226
Trimmed Mean ( 14 / 32 )108.8576470588240.404562387147214269.07505620193
Trimmed Mean ( 15 / 32 )108.8525757575760.401345308230345271.219255651798
Trimmed Mean ( 16 / 32 )108.847656250.398650236449454273.040490881036
Trimmed Mean ( 17 / 32 )108.8446774193550.395622779015084275.122372099825
Trimmed Mean ( 18 / 32 )108.8410.392292098308748277.448871565948
Trimmed Mean ( 19 / 32 )108.8375862068970.388828441069688279.911587504963
Trimmed Mean ( 20 / 32 )108.8326785714290.384807127525269282.823967610324
Trimmed Mean ( 21 / 32 )108.8305555555560.381136574624096285.542146310393
Trimmed Mean ( 22 / 32 )108.8273076923080.376911629862808288.734278992452
Trimmed Mean ( 23 / 32 )108.82440.373323972671765291.501237440439
Trimmed Mean ( 24 / 32 )108.8235416666670.368949713267958294.954943053801
Trimmed Mean ( 25 / 32 )108.8228260869570.365179945457835297.997815708425
Trimmed Mean ( 26 / 32 )108.8209090909090.360707230228175301.687629111486
Trimmed Mean ( 27 / 32 )108.8173809523810.356497684772046305.240077567296
Trimmed Mean ( 28 / 32 )108.8140.351859492644582309.254126362066
Trimmed Mean ( 29 / 32 )108.8121052631580.347033999977058313.548831729316
Trimmed Mean ( 30 / 32 )108.8122222222220.34204801276065318.119732209537
Trimmed Mean ( 31 / 32 )108.8088235294120.33685019036615323.018441554504
Trimmed Mean ( 32 / 32 )108.80656250.331121508668682328.600104950811
Median108.71
Midrange109.355
Midmean - Weighted Average at Xnp108.6586
Midmean - Weighted Average at X(n+1)p108.823541666667
Midmean - Empirical Distribution Function108.6586
Midmean - Empirical Distribution Function - Averaging108.823541666667
Midmean - Empirical Distribution Function - Interpolation108.823541666667
Midmean - Closest Observation108.6586
Midmean - True Basic - Statistics Graphics Toolkit108.823541666667
Midmean - MS Excel (old versions)108.743529411765
Number of observations96

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 108.944895833333 & 0.452261398632251 & 240.889220620662 \tabularnewline
Geometric Mean & 108.855834421046 &  &  \tabularnewline
Harmonic Mean & 108.766954368993 &  &  \tabularnewline
Quadratic Mean & 109.034039013244 &  &  \tabularnewline
Winsorized Mean ( 1 / 32 ) & 108.944375 & 0.451487570803353 & 241.300939483562 \tabularnewline
Winsorized Mean ( 2 / 32 ) & 108.943333333333 & 0.451310461922761 & 241.393325714613 \tabularnewline
Winsorized Mean ( 3 / 32 ) & 108.940520833333 & 0.449841525940351 & 242.175331869603 \tabularnewline
Winsorized Mean ( 4 / 32 ) & 108.936354166667 & 0.449155423803691 & 242.535987307322 \tabularnewline
Winsorized Mean ( 5 / 32 ) & 108.933229166667 & 0.447022446716312 & 243.686262215368 \tabularnewline
Winsorized Mean ( 6 / 32 ) & 108.931979166667 & 0.442994807595794 & 245.898997683197 \tabularnewline
Winsorized Mean ( 7 / 32 ) & 108.926875 & 0.440009327864144 & 247.555831438264 \tabularnewline
Winsorized Mean ( 8 / 32 ) & 108.920208333333 & 0.438986396783172 & 248.11750234514 \tabularnewline
Winsorized Mean ( 9 / 32 ) & 108.916458333333 & 0.432910564159241 & 251.591130710475 \tabularnewline
Winsorized Mean ( 10 / 32 ) & 108.918541666667 & 0.430206804083769 & 253.17717114827 \tabularnewline
Winsorized Mean ( 11 / 32 ) & 108.9025 & 0.424586589437096 & 256.490672831612 \tabularnewline
Winsorized Mean ( 12 / 32 ) & 108.89625 & 0.413234201733661 & 263.521870995049 \tabularnewline
Winsorized Mean ( 13 / 32 ) & 108.89625 & 0.409533598915096 & 265.903091439821 \tabularnewline
Winsorized Mean ( 14 / 32 ) & 108.906458333333 & 0.406991636923395 & 267.588934152551 \tabularnewline
Winsorized Mean ( 15 / 32 ) & 108.901770833333 & 0.397985469704999 & 273.632529634952 \tabularnewline
Winsorized Mean ( 16 / 32 ) & 108.8784375 & 0.394850441598856 & 275.746019326006 \tabularnewline
Winsorized Mean ( 17 / 32 ) & 108.88375 & 0.390909708525253 & 278.539385503561 \tabularnewline
Winsorized Mean ( 18 / 32 ) & 108.878125 & 0.385288064722984 & 282.588886002170 \tabularnewline
Winsorized Mean ( 19 / 32 ) & 108.891979166667 & 0.381992313570588 & 285.06327299841 \tabularnewline
Winsorized Mean ( 20 / 32 ) & 108.8565625 & 0.3720728396231 & 292.567881628417 \tabularnewline
Winsorized Mean ( 21 / 32 ) & 108.8675 & 0.367929037065287 & 295.892656008778 \tabularnewline
Winsorized Mean ( 22 / 32 ) & 108.860625 & 0.355569003237904 & 306.158928389952 \tabularnewline
Winsorized Mean ( 23 / 32 ) & 108.834270833333 & 0.352278882520642 & 308.943499691487 \tabularnewline
Winsorized Mean ( 24 / 32 ) & 108.831770833333 & 0.339671345115833 & 320.403155574457 \tabularnewline
Winsorized Mean ( 25 / 32 ) & 108.844791666667 & 0.334919733090339 & 324.987693804555 \tabularnewline
Winsorized Mean ( 26 / 32 ) & 108.861041666667 & 0.323809509167565 & 336.188526231122 \tabularnewline
Winsorized Mean ( 27 / 32 ) & 108.855416666667 & 0.316397308687107 & 344.046594828392 \tabularnewline
Winsorized Mean ( 28 / 32 ) & 108.835 & 0.307027736046362 & 354.479375060649 \tabularnewline
Winsorized Mean ( 29 / 32 ) & 108.810833333333 & 0.297058335972516 & 366.294495581502 \tabularnewline
Winsorized Mean ( 30 / 32 ) & 108.848333333333 & 0.286850932720009 & 379.459576098288 \tabularnewline
Winsorized Mean ( 31 / 32 ) & 108.8321875 & 0.277481910392095 & 392.213630597451 \tabularnewline
Winsorized Mean ( 32 / 32 ) & 108.8221875 & 0.268648673396415 & 405.072491608486 \tabularnewline
Trimmed Mean ( 1 / 32 ) & 108.936170212766 & 0.449035752459167 & 242.600215275001 \tabularnewline
Trimmed Mean ( 2 / 32 ) & 108.927608695652 & 0.446131896020721 & 244.160100784619 \tabularnewline
Trimmed Mean ( 3 / 32 ) & 108.919222222222 & 0.442817650230036 & 245.968565538525 \tabularnewline
Trimmed Mean ( 4 / 32 ) & 108.911477272727 & 0.439528683274983 & 247.791512629425 \tabularnewline
Trimmed Mean ( 5 / 32 ) & 108.904534883721 & 0.435873783390609 & 249.853372773572 \tabularnewline
Trimmed Mean ( 6 / 32 ) & 108.897976190476 & 0.432150481236157 & 251.990871047918 \tabularnewline
Trimmed Mean ( 7 / 32 ) & 108.891341463415 & 0.428709215850731 & 253.998135419904 \tabularnewline
Trimmed Mean ( 8 / 32 ) & 108.88525 & 0.425245944287434 & 256.052412639594 \tabularnewline
Trimmed Mean ( 9 / 32 ) & 108.879871794872 & 0.421299643638501 & 258.438081871004 \tabularnewline
Trimmed Mean ( 10 / 32 ) & 108.874736842105 & 0.417710109907271 & 260.646640480583 \tabularnewline
Trimmed Mean ( 11 / 32 ) & 108.869054054054 & 0.413845135239567 & 263.067134982828 \tabularnewline
Trimmed Mean ( 12 / 32 ) & 108.865 & 0.41011811726568 & 265.447917116707 \tabularnewline
Trimmed Mean ( 13 / 32 ) & 108.861428571429 & 0.407407106139666 & 267.205522267226 \tabularnewline
Trimmed Mean ( 14 / 32 ) & 108.857647058824 & 0.404562387147214 & 269.07505620193 \tabularnewline
Trimmed Mean ( 15 / 32 ) & 108.852575757576 & 0.401345308230345 & 271.219255651798 \tabularnewline
Trimmed Mean ( 16 / 32 ) & 108.84765625 & 0.398650236449454 & 273.040490881036 \tabularnewline
Trimmed Mean ( 17 / 32 ) & 108.844677419355 & 0.395622779015084 & 275.122372099825 \tabularnewline
Trimmed Mean ( 18 / 32 ) & 108.841 & 0.392292098308748 & 277.448871565948 \tabularnewline
Trimmed Mean ( 19 / 32 ) & 108.837586206897 & 0.388828441069688 & 279.911587504963 \tabularnewline
Trimmed Mean ( 20 / 32 ) & 108.832678571429 & 0.384807127525269 & 282.823967610324 \tabularnewline
Trimmed Mean ( 21 / 32 ) & 108.830555555556 & 0.381136574624096 & 285.542146310393 \tabularnewline
Trimmed Mean ( 22 / 32 ) & 108.827307692308 & 0.376911629862808 & 288.734278992452 \tabularnewline
Trimmed Mean ( 23 / 32 ) & 108.8244 & 0.373323972671765 & 291.501237440439 \tabularnewline
Trimmed Mean ( 24 / 32 ) & 108.823541666667 & 0.368949713267958 & 294.954943053801 \tabularnewline
Trimmed Mean ( 25 / 32 ) & 108.822826086957 & 0.365179945457835 & 297.997815708425 \tabularnewline
Trimmed Mean ( 26 / 32 ) & 108.820909090909 & 0.360707230228175 & 301.687629111486 \tabularnewline
Trimmed Mean ( 27 / 32 ) & 108.817380952381 & 0.356497684772046 & 305.240077567296 \tabularnewline
Trimmed Mean ( 28 / 32 ) & 108.814 & 0.351859492644582 & 309.254126362066 \tabularnewline
Trimmed Mean ( 29 / 32 ) & 108.812105263158 & 0.347033999977058 & 313.548831729316 \tabularnewline
Trimmed Mean ( 30 / 32 ) & 108.812222222222 & 0.34204801276065 & 318.119732209537 \tabularnewline
Trimmed Mean ( 31 / 32 ) & 108.808823529412 & 0.33685019036615 & 323.018441554504 \tabularnewline
Trimmed Mean ( 32 / 32 ) & 108.8065625 & 0.331121508668682 & 328.600104950811 \tabularnewline
Median & 108.71 &  &  \tabularnewline
Midrange & 109.355 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 108.6586 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 108.823541666667 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 108.6586 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 108.823541666667 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 108.823541666667 &  &  \tabularnewline
Midmean - Closest Observation & 108.6586 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 108.823541666667 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 108.743529411765 &  &  \tabularnewline
Number of observations & 96 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42804&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]108.944895833333[/C][C]0.452261398632251[/C][C]240.889220620662[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]108.855834421046[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]108.766954368993[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]109.034039013244[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 32 )[/C][C]108.944375[/C][C]0.451487570803353[/C][C]241.300939483562[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 32 )[/C][C]108.943333333333[/C][C]0.451310461922761[/C][C]241.393325714613[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 32 )[/C][C]108.940520833333[/C][C]0.449841525940351[/C][C]242.175331869603[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 32 )[/C][C]108.936354166667[/C][C]0.449155423803691[/C][C]242.535987307322[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 32 )[/C][C]108.933229166667[/C][C]0.447022446716312[/C][C]243.686262215368[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 32 )[/C][C]108.931979166667[/C][C]0.442994807595794[/C][C]245.898997683197[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 32 )[/C][C]108.926875[/C][C]0.440009327864144[/C][C]247.555831438264[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 32 )[/C][C]108.920208333333[/C][C]0.438986396783172[/C][C]248.11750234514[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 32 )[/C][C]108.916458333333[/C][C]0.432910564159241[/C][C]251.591130710475[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 32 )[/C][C]108.918541666667[/C][C]0.430206804083769[/C][C]253.17717114827[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 32 )[/C][C]108.9025[/C][C]0.424586589437096[/C][C]256.490672831612[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 32 )[/C][C]108.89625[/C][C]0.413234201733661[/C][C]263.521870995049[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 32 )[/C][C]108.89625[/C][C]0.409533598915096[/C][C]265.903091439821[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 32 )[/C][C]108.906458333333[/C][C]0.406991636923395[/C][C]267.588934152551[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 32 )[/C][C]108.901770833333[/C][C]0.397985469704999[/C][C]273.632529634952[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 32 )[/C][C]108.8784375[/C][C]0.394850441598856[/C][C]275.746019326006[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 32 )[/C][C]108.88375[/C][C]0.390909708525253[/C][C]278.539385503561[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 32 )[/C][C]108.878125[/C][C]0.385288064722984[/C][C]282.588886002170[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 32 )[/C][C]108.891979166667[/C][C]0.381992313570588[/C][C]285.06327299841[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 32 )[/C][C]108.8565625[/C][C]0.3720728396231[/C][C]292.567881628417[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 32 )[/C][C]108.8675[/C][C]0.367929037065287[/C][C]295.892656008778[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 32 )[/C][C]108.860625[/C][C]0.355569003237904[/C][C]306.158928389952[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 32 )[/C][C]108.834270833333[/C][C]0.352278882520642[/C][C]308.943499691487[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 32 )[/C][C]108.831770833333[/C][C]0.339671345115833[/C][C]320.403155574457[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 32 )[/C][C]108.844791666667[/C][C]0.334919733090339[/C][C]324.987693804555[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 32 )[/C][C]108.861041666667[/C][C]0.323809509167565[/C][C]336.188526231122[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 32 )[/C][C]108.855416666667[/C][C]0.316397308687107[/C][C]344.046594828392[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 32 )[/C][C]108.835[/C][C]0.307027736046362[/C][C]354.479375060649[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 32 )[/C][C]108.810833333333[/C][C]0.297058335972516[/C][C]366.294495581502[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 32 )[/C][C]108.848333333333[/C][C]0.286850932720009[/C][C]379.459576098288[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 32 )[/C][C]108.8321875[/C][C]0.277481910392095[/C][C]392.213630597451[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 32 )[/C][C]108.8221875[/C][C]0.268648673396415[/C][C]405.072491608486[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 32 )[/C][C]108.936170212766[/C][C]0.449035752459167[/C][C]242.600215275001[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 32 )[/C][C]108.927608695652[/C][C]0.446131896020721[/C][C]244.160100784619[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 32 )[/C][C]108.919222222222[/C][C]0.442817650230036[/C][C]245.968565538525[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 32 )[/C][C]108.911477272727[/C][C]0.439528683274983[/C][C]247.791512629425[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 32 )[/C][C]108.904534883721[/C][C]0.435873783390609[/C][C]249.853372773572[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 32 )[/C][C]108.897976190476[/C][C]0.432150481236157[/C][C]251.990871047918[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 32 )[/C][C]108.891341463415[/C][C]0.428709215850731[/C][C]253.998135419904[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 32 )[/C][C]108.88525[/C][C]0.425245944287434[/C][C]256.052412639594[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 32 )[/C][C]108.879871794872[/C][C]0.421299643638501[/C][C]258.438081871004[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 32 )[/C][C]108.874736842105[/C][C]0.417710109907271[/C][C]260.646640480583[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 32 )[/C][C]108.869054054054[/C][C]0.413845135239567[/C][C]263.067134982828[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 32 )[/C][C]108.865[/C][C]0.41011811726568[/C][C]265.447917116707[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 32 )[/C][C]108.861428571429[/C][C]0.407407106139666[/C][C]267.205522267226[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 32 )[/C][C]108.857647058824[/C][C]0.404562387147214[/C][C]269.07505620193[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 32 )[/C][C]108.852575757576[/C][C]0.401345308230345[/C][C]271.219255651798[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 32 )[/C][C]108.84765625[/C][C]0.398650236449454[/C][C]273.040490881036[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 32 )[/C][C]108.844677419355[/C][C]0.395622779015084[/C][C]275.122372099825[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 32 )[/C][C]108.841[/C][C]0.392292098308748[/C][C]277.448871565948[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 32 )[/C][C]108.837586206897[/C][C]0.388828441069688[/C][C]279.911587504963[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 32 )[/C][C]108.832678571429[/C][C]0.384807127525269[/C][C]282.823967610324[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 32 )[/C][C]108.830555555556[/C][C]0.381136574624096[/C][C]285.542146310393[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 32 )[/C][C]108.827307692308[/C][C]0.376911629862808[/C][C]288.734278992452[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 32 )[/C][C]108.8244[/C][C]0.373323972671765[/C][C]291.501237440439[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 32 )[/C][C]108.823541666667[/C][C]0.368949713267958[/C][C]294.954943053801[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 32 )[/C][C]108.822826086957[/C][C]0.365179945457835[/C][C]297.997815708425[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 32 )[/C][C]108.820909090909[/C][C]0.360707230228175[/C][C]301.687629111486[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 32 )[/C][C]108.817380952381[/C][C]0.356497684772046[/C][C]305.240077567296[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 32 )[/C][C]108.814[/C][C]0.351859492644582[/C][C]309.254126362066[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 32 )[/C][C]108.812105263158[/C][C]0.347033999977058[/C][C]313.548831729316[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 32 )[/C][C]108.812222222222[/C][C]0.34204801276065[/C][C]318.119732209537[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 32 )[/C][C]108.808823529412[/C][C]0.33685019036615[/C][C]323.018441554504[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 32 )[/C][C]108.8065625[/C][C]0.331121508668682[/C][C]328.600104950811[/C][/ROW]
[ROW][C]Median[/C][C]108.71[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]109.355[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]108.6586[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]108.823541666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]108.6586[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]108.823541666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]108.823541666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]108.6586[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]108.823541666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]108.743529411765[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]96[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42804&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42804&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 Mean108.9448958333330.452261398632251240.889220620662
Geometric Mean108.855834421046
Harmonic Mean108.766954368993
Quadratic Mean109.034039013244
Winsorized Mean ( 1 / 32 )108.9443750.451487570803353241.300939483562
Winsorized Mean ( 2 / 32 )108.9433333333330.451310461922761241.393325714613
Winsorized Mean ( 3 / 32 )108.9405208333330.449841525940351242.175331869603
Winsorized Mean ( 4 / 32 )108.9363541666670.449155423803691242.535987307322
Winsorized Mean ( 5 / 32 )108.9332291666670.447022446716312243.686262215368
Winsorized Mean ( 6 / 32 )108.9319791666670.442994807595794245.898997683197
Winsorized Mean ( 7 / 32 )108.9268750.440009327864144247.555831438264
Winsorized Mean ( 8 / 32 )108.9202083333330.438986396783172248.11750234514
Winsorized Mean ( 9 / 32 )108.9164583333330.432910564159241251.591130710475
Winsorized Mean ( 10 / 32 )108.9185416666670.430206804083769253.17717114827
Winsorized Mean ( 11 / 32 )108.90250.424586589437096256.490672831612
Winsorized Mean ( 12 / 32 )108.896250.413234201733661263.521870995049
Winsorized Mean ( 13 / 32 )108.896250.409533598915096265.903091439821
Winsorized Mean ( 14 / 32 )108.9064583333330.406991636923395267.588934152551
Winsorized Mean ( 15 / 32 )108.9017708333330.397985469704999273.632529634952
Winsorized Mean ( 16 / 32 )108.87843750.394850441598856275.746019326006
Winsorized Mean ( 17 / 32 )108.883750.390909708525253278.539385503561
Winsorized Mean ( 18 / 32 )108.8781250.385288064722984282.588886002170
Winsorized Mean ( 19 / 32 )108.8919791666670.381992313570588285.06327299841
Winsorized Mean ( 20 / 32 )108.85656250.3720728396231292.567881628417
Winsorized Mean ( 21 / 32 )108.86750.367929037065287295.892656008778
Winsorized Mean ( 22 / 32 )108.8606250.355569003237904306.158928389952
Winsorized Mean ( 23 / 32 )108.8342708333330.352278882520642308.943499691487
Winsorized Mean ( 24 / 32 )108.8317708333330.339671345115833320.403155574457
Winsorized Mean ( 25 / 32 )108.8447916666670.334919733090339324.987693804555
Winsorized Mean ( 26 / 32 )108.8610416666670.323809509167565336.188526231122
Winsorized Mean ( 27 / 32 )108.8554166666670.316397308687107344.046594828392
Winsorized Mean ( 28 / 32 )108.8350.307027736046362354.479375060649
Winsorized Mean ( 29 / 32 )108.8108333333330.297058335972516366.294495581502
Winsorized Mean ( 30 / 32 )108.8483333333330.286850932720009379.459576098288
Winsorized Mean ( 31 / 32 )108.83218750.277481910392095392.213630597451
Winsorized Mean ( 32 / 32 )108.82218750.268648673396415405.072491608486
Trimmed Mean ( 1 / 32 )108.9361702127660.449035752459167242.600215275001
Trimmed Mean ( 2 / 32 )108.9276086956520.446131896020721244.160100784619
Trimmed Mean ( 3 / 32 )108.9192222222220.442817650230036245.968565538525
Trimmed Mean ( 4 / 32 )108.9114772727270.439528683274983247.791512629425
Trimmed Mean ( 5 / 32 )108.9045348837210.435873783390609249.853372773572
Trimmed Mean ( 6 / 32 )108.8979761904760.432150481236157251.990871047918
Trimmed Mean ( 7 / 32 )108.8913414634150.428709215850731253.998135419904
Trimmed Mean ( 8 / 32 )108.885250.425245944287434256.052412639594
Trimmed Mean ( 9 / 32 )108.8798717948720.421299643638501258.438081871004
Trimmed Mean ( 10 / 32 )108.8747368421050.417710109907271260.646640480583
Trimmed Mean ( 11 / 32 )108.8690540540540.413845135239567263.067134982828
Trimmed Mean ( 12 / 32 )108.8650.41011811726568265.447917116707
Trimmed Mean ( 13 / 32 )108.8614285714290.407407106139666267.205522267226
Trimmed Mean ( 14 / 32 )108.8576470588240.404562387147214269.07505620193
Trimmed Mean ( 15 / 32 )108.8525757575760.401345308230345271.219255651798
Trimmed Mean ( 16 / 32 )108.847656250.398650236449454273.040490881036
Trimmed Mean ( 17 / 32 )108.8446774193550.395622779015084275.122372099825
Trimmed Mean ( 18 / 32 )108.8410.392292098308748277.448871565948
Trimmed Mean ( 19 / 32 )108.8375862068970.388828441069688279.911587504963
Trimmed Mean ( 20 / 32 )108.8326785714290.384807127525269282.823967610324
Trimmed Mean ( 21 / 32 )108.8305555555560.381136574624096285.542146310393
Trimmed Mean ( 22 / 32 )108.8273076923080.376911629862808288.734278992452
Trimmed Mean ( 23 / 32 )108.82440.373323972671765291.501237440439
Trimmed Mean ( 24 / 32 )108.8235416666670.368949713267958294.954943053801
Trimmed Mean ( 25 / 32 )108.8228260869570.365179945457835297.997815708425
Trimmed Mean ( 26 / 32 )108.8209090909090.360707230228175301.687629111486
Trimmed Mean ( 27 / 32 )108.8173809523810.356497684772046305.240077567296
Trimmed Mean ( 28 / 32 )108.8140.351859492644582309.254126362066
Trimmed Mean ( 29 / 32 )108.8121052631580.347033999977058313.548831729316
Trimmed Mean ( 30 / 32 )108.8122222222220.34204801276065318.119732209537
Trimmed Mean ( 31 / 32 )108.8088235294120.33685019036615323.018441554504
Trimmed Mean ( 32 / 32 )108.80656250.331121508668682328.600104950811
Median108.71
Midrange109.355
Midmean - Weighted Average at Xnp108.6586
Midmean - Weighted Average at X(n+1)p108.823541666667
Midmean - Empirical Distribution Function108.6586
Midmean - Empirical Distribution Function - Averaging108.823541666667
Midmean - Empirical Distribution Function - Interpolation108.823541666667
Midmean - Closest Observation108.6586
Midmean - True Basic - Statistics Graphics Toolkit108.823541666667
Midmean - MS Excel (old versions)108.743529411765
Number of observations96



Parameters (Session):
par1 = 0 ;
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')