Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationThu, 08 Oct 2015 16:26:22 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/08/t1444318034ee6yped9n8xxwip.htm/, Retrieved Wed, 15 May 2024 05:22:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281496, Retrieved Wed, 15 May 2024 05:22:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [] [2015-10-08 15:05:24] [b1987693a2b63654c6d4ca246f63ea73]
- RM D  [Central Tendency] [] [2015-10-08 15:17:05] [b1987693a2b63654c6d4ca246f63ea73]
-    D      [Central Tendency] [] [2015-10-08 15:26:22] [07f175c9375843c217f66b4a3796ae0c] [Current]
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Dataseries X:
85,95
86,41
86,42
86,81
86,71
86,7
87,07
86,96
87,04
87,5
88,32
88,56
88,92
89,56
90,21
90,42
91,23
91,73
92,21
91,65
91,8
91,63
91,09
90,89
90,98
91,29
90,77
90,96
90,89
90,72
90,66
90,94
90,7
90,74
90,98
91,13
91,54
91,93
92,27
92,59
92,96
92,95
92,99
93,05
93,34
93,47
93,59
93,96
94,49
95,04
95,52
95,75
96,07
96,37
96,48
96,4
96,66
96,81
97,19
97,23
97,94
98,52
98,73
98,8
98,77
98,54
98,72
99,15
99,32
99,5
99,39
99,4
99,37
99,69
99,83
99,79
99,94
100,11
100,21
100,15
100,21
100,13
100,2
100,36
100,5
100,66
100,72
100,41
100,3
100,38
100,55
100,17
100,09
100,22
100,09
99,98




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281496&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281496&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281496&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'George Udny Yule' @ yule.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean94.646250.477239417507405198.320269717728
Geometric Mean94.5310831912888
Harmonic Mean94.4151642322013
Quadratic Mean94.7604854246572
Winsorized Mean ( 1 / 32 )94.65041666666670.476260122530604198.736808288174
Winsorized Mean ( 2 / 32 )94.64833333333330.47592043016449198.874280939401
Winsorized Mean ( 3 / 32 )94.65552083333330.474148125075883199.632806347562
Winsorized Mean ( 4 / 32 )94.65218750.473591313818857199.860480414561
Winsorized Mean ( 5 / 32 )94.65583333333330.472476785530778200.339648914173
Winsorized Mean ( 6 / 32 )94.66395833333330.470690480094829201.117214680572
Winsorized Mean ( 7 / 32 )94.66541666666670.46913371818804201.787705714903
Winsorized Mean ( 8 / 32 )94.661250.46786804749675202.324673605024
Winsorized Mean ( 9 / 32 )94.7006250.460992917052278205.42750549302
Winsorized Mean ( 10 / 32 )94.78604166666670.447466711473001211.828141035662
Winsorized Mean ( 11 / 32 )94.81239583333330.443186644990644213.933332389416
Winsorized Mean ( 12 / 32 )94.85364583333330.436141653709772217.483574491267
Winsorized Mean ( 13 / 32 )94.93760416666670.423792809378025224.018912227418
Winsorized Mean ( 14 / 32 )95.02947916666670.41122864605659231.086720436274
Winsorized Mean ( 15 / 32 )95.05916666666670.406826875618052233.659997320119
Winsorized Mean ( 16 / 32 )95.09583333333330.401664783063211236.754222284825
Winsorized Mean ( 17 / 32 )95.10291666666670.40084357092007237.256934041311
Winsorized Mean ( 18 / 32 )95.08604166666670.397723772365359239.07558027313
Winsorized Mean ( 19 / 32 )95.08208333333330.396243238822905239.958878833587
Winsorized Mean ( 20 / 32 )95.06541666666660.39258022190204242.155389810718
Winsorized Mean ( 21 / 32 )95.08291666666670.388460267918692244.768704856498
Winsorized Mean ( 22 / 32 )95.060.385550273191311246.556692109594
Winsorized Mean ( 23 / 32 )95.02645833333330.378478254351307251.075080908423
Winsorized Mean ( 24 / 32 )95.00645833333330.374812350101678253.477395575573
Winsorized Mean ( 25 / 32 )95.00906250.373899762523356254.103029803516
Winsorized Mean ( 26 / 32 )95.00364583333330.373232211001093254.54299771853
Winsorized Mean ( 27 / 32 )95.02052083333330.368007030878668258.203003911253
Winsorized Mean ( 28 / 32 )94.98260416666670.360630334032481263.379408782933
Winsorized Mean ( 29 / 32 )94.90708333333330.344513129529382275.481760195845
Winsorized Mean ( 30 / 32 )94.91645833333330.341296578954853278.105507602785
Winsorized Mean ( 31 / 32 )94.98427083333340.330819514873095287.11810084653
Winsorized Mean ( 32 / 32 )95.01093750.327146222408382290.42345896752
Trimmed Mean ( 1 / 32 )94.67414893617020.474053341722068199.712016779066
Trimmed Mean ( 2 / 32 )94.69891304347830.47139593697456200.890388770128
Trimmed Mean ( 3 / 32 )94.72588888888890.468420404409359202.224087587155
Trimmed Mean ( 4 / 32 )94.75147727272730.465604110333415203.502235418146
Trimmed Mean ( 5 / 32 )94.77918604651160.462399091372619204.972690939254
Trimmed Mean ( 6 / 32 )94.8073809523810.458868845422228206.611065227459
Trimmed Mean ( 7 / 32 )94.83536585365850.455081291735204208.392143504857
Trimmed Mean ( 8 / 32 )94.86450.450887588084444210.395013096332
Trimmed Mean ( 9 / 32 )94.89576923076920.446121724101144212.712728621246
Trimmed Mean ( 10 / 32 )94.92315789473680.441756113174724214.876840554763
Trimmed Mean ( 11 / 32 )94.94094594594590.438934970710199216.298432071455
Trimmed Mean ( 12 / 32 )94.95652777777780.436136390909805217.72209280609
Trimmed Mean ( 13 / 32 )94.96828571428570.433758955083413218.94253617432
Trimmed Mean ( 14 / 32 )94.97161764705880.432606673842965219.533408496452
Trimmed Mean ( 15 / 32 )94.96560606060610.432740609266713219.451569894323
Trimmed Mean ( 16 / 32 )94.956250.433078994727986219.258498232271
Trimmed Mean ( 17 / 32 )94.94274193548390.433708880942627218.908918187551
Trimmed Mean ( 18 / 32 )94.92766666666670.43403841160608218.707985579903
Trimmed Mean ( 19 / 32 )94.91310344827590.434331105481917218.527068981081
Trimmed Mean ( 20 / 32 )94.89785714285710.434307159415835218.504012852331
Trimmed Mean ( 21 / 32 )94.8829629629630.43420357944378218.521835044541
Trimmed Mean ( 22 / 32 )94.86538461538460.434009461631548218.579070278243
Trimmed Mean ( 23 / 32 )94.84840.433517587619592218.787893983274
Trimmed Mean ( 24 / 32 )94.83291666666670.43327999791109218.872131471267
Trimmed Mean ( 25 / 32 )94.81782608695650.432749987850811219.105323509898
Trimmed Mean ( 26 / 32 )94.80113636363640.431336143268024219.784819434269
Trimmed Mean ( 27 / 32 )94.78333333333330.428729677842338221.079477890003
Trimmed Mean ( 28 / 32 )94.762250.425380295539572222.770661908068
Trimmed Mean ( 29 / 32 )94.74236842105260.421521735924027224.76271173387
Trimmed Mean ( 30 / 32 )94.72722222222220.418813064165923226.180199060586
Trimmed Mean ( 31 / 32 )94.70941176470590.414574270211807228.44980639131
Trimmed Mean ( 32 / 32 )94.68281250.409818073911629231.036204909833
Median94.225
Midrange93.335
Midmean - Weighted Average at Xnp94.7534693877551
Midmean - Weighted Average at X(n+1)p94.8329166666667
Midmean - Empirical Distribution Function94.7534693877551
Midmean - Empirical Distribution Function - Averaging94.8329166666667
Midmean - Empirical Distribution Function - Interpolation94.8329166666667
Midmean - Closest Observation94.7534693877551
Midmean - True Basic - Statistics Graphics Toolkit94.8329166666667
Midmean - MS Excel (old versions)94.8484
Number of observations96

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 94.64625 & 0.477239417507405 & 198.320269717728 \tabularnewline
Geometric Mean & 94.5310831912888 &  &  \tabularnewline
Harmonic Mean & 94.4151642322013 &  &  \tabularnewline
Quadratic Mean & 94.7604854246572 &  &  \tabularnewline
Winsorized Mean ( 1 / 32 ) & 94.6504166666667 & 0.476260122530604 & 198.736808288174 \tabularnewline
Winsorized Mean ( 2 / 32 ) & 94.6483333333333 & 0.47592043016449 & 198.874280939401 \tabularnewline
Winsorized Mean ( 3 / 32 ) & 94.6555208333333 & 0.474148125075883 & 199.632806347562 \tabularnewline
Winsorized Mean ( 4 / 32 ) & 94.6521875 & 0.473591313818857 & 199.860480414561 \tabularnewline
Winsorized Mean ( 5 / 32 ) & 94.6558333333333 & 0.472476785530778 & 200.339648914173 \tabularnewline
Winsorized Mean ( 6 / 32 ) & 94.6639583333333 & 0.470690480094829 & 201.117214680572 \tabularnewline
Winsorized Mean ( 7 / 32 ) & 94.6654166666667 & 0.46913371818804 & 201.787705714903 \tabularnewline
Winsorized Mean ( 8 / 32 ) & 94.66125 & 0.46786804749675 & 202.324673605024 \tabularnewline
Winsorized Mean ( 9 / 32 ) & 94.700625 & 0.460992917052278 & 205.42750549302 \tabularnewline
Winsorized Mean ( 10 / 32 ) & 94.7860416666667 & 0.447466711473001 & 211.828141035662 \tabularnewline
Winsorized Mean ( 11 / 32 ) & 94.8123958333333 & 0.443186644990644 & 213.933332389416 \tabularnewline
Winsorized Mean ( 12 / 32 ) & 94.8536458333333 & 0.436141653709772 & 217.483574491267 \tabularnewline
Winsorized Mean ( 13 / 32 ) & 94.9376041666667 & 0.423792809378025 & 224.018912227418 \tabularnewline
Winsorized Mean ( 14 / 32 ) & 95.0294791666667 & 0.41122864605659 & 231.086720436274 \tabularnewline
Winsorized Mean ( 15 / 32 ) & 95.0591666666667 & 0.406826875618052 & 233.659997320119 \tabularnewline
Winsorized Mean ( 16 / 32 ) & 95.0958333333333 & 0.401664783063211 & 236.754222284825 \tabularnewline
Winsorized Mean ( 17 / 32 ) & 95.1029166666667 & 0.40084357092007 & 237.256934041311 \tabularnewline
Winsorized Mean ( 18 / 32 ) & 95.0860416666667 & 0.397723772365359 & 239.07558027313 \tabularnewline
Winsorized Mean ( 19 / 32 ) & 95.0820833333333 & 0.396243238822905 & 239.958878833587 \tabularnewline
Winsorized Mean ( 20 / 32 ) & 95.0654166666666 & 0.39258022190204 & 242.155389810718 \tabularnewline
Winsorized Mean ( 21 / 32 ) & 95.0829166666667 & 0.388460267918692 & 244.768704856498 \tabularnewline
Winsorized Mean ( 22 / 32 ) & 95.06 & 0.385550273191311 & 246.556692109594 \tabularnewline
Winsorized Mean ( 23 / 32 ) & 95.0264583333333 & 0.378478254351307 & 251.075080908423 \tabularnewline
Winsorized Mean ( 24 / 32 ) & 95.0064583333333 & 0.374812350101678 & 253.477395575573 \tabularnewline
Winsorized Mean ( 25 / 32 ) & 95.0090625 & 0.373899762523356 & 254.103029803516 \tabularnewline
Winsorized Mean ( 26 / 32 ) & 95.0036458333333 & 0.373232211001093 & 254.54299771853 \tabularnewline
Winsorized Mean ( 27 / 32 ) & 95.0205208333333 & 0.368007030878668 & 258.203003911253 \tabularnewline
Winsorized Mean ( 28 / 32 ) & 94.9826041666667 & 0.360630334032481 & 263.379408782933 \tabularnewline
Winsorized Mean ( 29 / 32 ) & 94.9070833333333 & 0.344513129529382 & 275.481760195845 \tabularnewline
Winsorized Mean ( 30 / 32 ) & 94.9164583333333 & 0.341296578954853 & 278.105507602785 \tabularnewline
Winsorized Mean ( 31 / 32 ) & 94.9842708333334 & 0.330819514873095 & 287.11810084653 \tabularnewline
Winsorized Mean ( 32 / 32 ) & 95.0109375 & 0.327146222408382 & 290.42345896752 \tabularnewline
Trimmed Mean ( 1 / 32 ) & 94.6741489361702 & 0.474053341722068 & 199.712016779066 \tabularnewline
Trimmed Mean ( 2 / 32 ) & 94.6989130434783 & 0.47139593697456 & 200.890388770128 \tabularnewline
Trimmed Mean ( 3 / 32 ) & 94.7258888888889 & 0.468420404409359 & 202.224087587155 \tabularnewline
Trimmed Mean ( 4 / 32 ) & 94.7514772727273 & 0.465604110333415 & 203.502235418146 \tabularnewline
Trimmed Mean ( 5 / 32 ) & 94.7791860465116 & 0.462399091372619 & 204.972690939254 \tabularnewline
Trimmed Mean ( 6 / 32 ) & 94.807380952381 & 0.458868845422228 & 206.611065227459 \tabularnewline
Trimmed Mean ( 7 / 32 ) & 94.8353658536585 & 0.455081291735204 & 208.392143504857 \tabularnewline
Trimmed Mean ( 8 / 32 ) & 94.8645 & 0.450887588084444 & 210.395013096332 \tabularnewline
Trimmed Mean ( 9 / 32 ) & 94.8957692307692 & 0.446121724101144 & 212.712728621246 \tabularnewline
Trimmed Mean ( 10 / 32 ) & 94.9231578947368 & 0.441756113174724 & 214.876840554763 \tabularnewline
Trimmed Mean ( 11 / 32 ) & 94.9409459459459 & 0.438934970710199 & 216.298432071455 \tabularnewline
Trimmed Mean ( 12 / 32 ) & 94.9565277777778 & 0.436136390909805 & 217.72209280609 \tabularnewline
Trimmed Mean ( 13 / 32 ) & 94.9682857142857 & 0.433758955083413 & 218.94253617432 \tabularnewline
Trimmed Mean ( 14 / 32 ) & 94.9716176470588 & 0.432606673842965 & 219.533408496452 \tabularnewline
Trimmed Mean ( 15 / 32 ) & 94.9656060606061 & 0.432740609266713 & 219.451569894323 \tabularnewline
Trimmed Mean ( 16 / 32 ) & 94.95625 & 0.433078994727986 & 219.258498232271 \tabularnewline
Trimmed Mean ( 17 / 32 ) & 94.9427419354839 & 0.433708880942627 & 218.908918187551 \tabularnewline
Trimmed Mean ( 18 / 32 ) & 94.9276666666667 & 0.43403841160608 & 218.707985579903 \tabularnewline
Trimmed Mean ( 19 / 32 ) & 94.9131034482759 & 0.434331105481917 & 218.527068981081 \tabularnewline
Trimmed Mean ( 20 / 32 ) & 94.8978571428571 & 0.434307159415835 & 218.504012852331 \tabularnewline
Trimmed Mean ( 21 / 32 ) & 94.882962962963 & 0.43420357944378 & 218.521835044541 \tabularnewline
Trimmed Mean ( 22 / 32 ) & 94.8653846153846 & 0.434009461631548 & 218.579070278243 \tabularnewline
Trimmed Mean ( 23 / 32 ) & 94.8484 & 0.433517587619592 & 218.787893983274 \tabularnewline
Trimmed Mean ( 24 / 32 ) & 94.8329166666667 & 0.43327999791109 & 218.872131471267 \tabularnewline
Trimmed Mean ( 25 / 32 ) & 94.8178260869565 & 0.432749987850811 & 219.105323509898 \tabularnewline
Trimmed Mean ( 26 / 32 ) & 94.8011363636364 & 0.431336143268024 & 219.784819434269 \tabularnewline
Trimmed Mean ( 27 / 32 ) & 94.7833333333333 & 0.428729677842338 & 221.079477890003 \tabularnewline
Trimmed Mean ( 28 / 32 ) & 94.76225 & 0.425380295539572 & 222.770661908068 \tabularnewline
Trimmed Mean ( 29 / 32 ) & 94.7423684210526 & 0.421521735924027 & 224.76271173387 \tabularnewline
Trimmed Mean ( 30 / 32 ) & 94.7272222222222 & 0.418813064165923 & 226.180199060586 \tabularnewline
Trimmed Mean ( 31 / 32 ) & 94.7094117647059 & 0.414574270211807 & 228.44980639131 \tabularnewline
Trimmed Mean ( 32 / 32 ) & 94.6828125 & 0.409818073911629 & 231.036204909833 \tabularnewline
Median & 94.225 &  &  \tabularnewline
Midrange & 93.335 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 94.7534693877551 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 94.8329166666667 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 94.7534693877551 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 94.8329166666667 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 94.8329166666667 &  &  \tabularnewline
Midmean - Closest Observation & 94.7534693877551 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 94.8329166666667 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 94.8484 &  &  \tabularnewline
Number of observations & 96 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281496&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]94.64625[/C][C]0.477239417507405[/C][C]198.320269717728[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]94.5310831912888[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]94.4151642322013[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]94.7604854246572[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 32 )[/C][C]94.6504166666667[/C][C]0.476260122530604[/C][C]198.736808288174[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 32 )[/C][C]94.6483333333333[/C][C]0.47592043016449[/C][C]198.874280939401[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 32 )[/C][C]94.6555208333333[/C][C]0.474148125075883[/C][C]199.632806347562[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 32 )[/C][C]94.6521875[/C][C]0.473591313818857[/C][C]199.860480414561[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 32 )[/C][C]94.6558333333333[/C][C]0.472476785530778[/C][C]200.339648914173[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 32 )[/C][C]94.6639583333333[/C][C]0.470690480094829[/C][C]201.117214680572[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 32 )[/C][C]94.6654166666667[/C][C]0.46913371818804[/C][C]201.787705714903[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 32 )[/C][C]94.66125[/C][C]0.46786804749675[/C][C]202.324673605024[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 32 )[/C][C]94.700625[/C][C]0.460992917052278[/C][C]205.42750549302[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 32 )[/C][C]94.7860416666667[/C][C]0.447466711473001[/C][C]211.828141035662[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 32 )[/C][C]94.8123958333333[/C][C]0.443186644990644[/C][C]213.933332389416[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 32 )[/C][C]94.8536458333333[/C][C]0.436141653709772[/C][C]217.483574491267[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 32 )[/C][C]94.9376041666667[/C][C]0.423792809378025[/C][C]224.018912227418[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 32 )[/C][C]95.0294791666667[/C][C]0.41122864605659[/C][C]231.086720436274[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 32 )[/C][C]95.0591666666667[/C][C]0.406826875618052[/C][C]233.659997320119[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 32 )[/C][C]95.0958333333333[/C][C]0.401664783063211[/C][C]236.754222284825[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 32 )[/C][C]95.1029166666667[/C][C]0.40084357092007[/C][C]237.256934041311[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 32 )[/C][C]95.0860416666667[/C][C]0.397723772365359[/C][C]239.07558027313[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 32 )[/C][C]95.0820833333333[/C][C]0.396243238822905[/C][C]239.958878833587[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 32 )[/C][C]95.0654166666666[/C][C]0.39258022190204[/C][C]242.155389810718[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 32 )[/C][C]95.0829166666667[/C][C]0.388460267918692[/C][C]244.768704856498[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 32 )[/C][C]95.06[/C][C]0.385550273191311[/C][C]246.556692109594[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 32 )[/C][C]95.0264583333333[/C][C]0.378478254351307[/C][C]251.075080908423[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 32 )[/C][C]95.0064583333333[/C][C]0.374812350101678[/C][C]253.477395575573[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 32 )[/C][C]95.0090625[/C][C]0.373899762523356[/C][C]254.103029803516[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 32 )[/C][C]95.0036458333333[/C][C]0.373232211001093[/C][C]254.54299771853[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 32 )[/C][C]95.0205208333333[/C][C]0.368007030878668[/C][C]258.203003911253[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 32 )[/C][C]94.9826041666667[/C][C]0.360630334032481[/C][C]263.379408782933[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 32 )[/C][C]94.9070833333333[/C][C]0.344513129529382[/C][C]275.481760195845[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 32 )[/C][C]94.9164583333333[/C][C]0.341296578954853[/C][C]278.105507602785[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 32 )[/C][C]94.9842708333334[/C][C]0.330819514873095[/C][C]287.11810084653[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 32 )[/C][C]95.0109375[/C][C]0.327146222408382[/C][C]290.42345896752[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 32 )[/C][C]94.6741489361702[/C][C]0.474053341722068[/C][C]199.712016779066[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 32 )[/C][C]94.6989130434783[/C][C]0.47139593697456[/C][C]200.890388770128[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 32 )[/C][C]94.7258888888889[/C][C]0.468420404409359[/C][C]202.224087587155[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 32 )[/C][C]94.7514772727273[/C][C]0.465604110333415[/C][C]203.502235418146[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 32 )[/C][C]94.7791860465116[/C][C]0.462399091372619[/C][C]204.972690939254[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 32 )[/C][C]94.807380952381[/C][C]0.458868845422228[/C][C]206.611065227459[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 32 )[/C][C]94.8353658536585[/C][C]0.455081291735204[/C][C]208.392143504857[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 32 )[/C][C]94.8645[/C][C]0.450887588084444[/C][C]210.395013096332[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 32 )[/C][C]94.8957692307692[/C][C]0.446121724101144[/C][C]212.712728621246[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 32 )[/C][C]94.9231578947368[/C][C]0.441756113174724[/C][C]214.876840554763[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 32 )[/C][C]94.9409459459459[/C][C]0.438934970710199[/C][C]216.298432071455[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 32 )[/C][C]94.9565277777778[/C][C]0.436136390909805[/C][C]217.72209280609[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 32 )[/C][C]94.9682857142857[/C][C]0.433758955083413[/C][C]218.94253617432[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 32 )[/C][C]94.9716176470588[/C][C]0.432606673842965[/C][C]219.533408496452[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 32 )[/C][C]94.9656060606061[/C][C]0.432740609266713[/C][C]219.451569894323[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 32 )[/C][C]94.95625[/C][C]0.433078994727986[/C][C]219.258498232271[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 32 )[/C][C]94.9427419354839[/C][C]0.433708880942627[/C][C]218.908918187551[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 32 )[/C][C]94.9276666666667[/C][C]0.43403841160608[/C][C]218.707985579903[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 32 )[/C][C]94.9131034482759[/C][C]0.434331105481917[/C][C]218.527068981081[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 32 )[/C][C]94.8978571428571[/C][C]0.434307159415835[/C][C]218.504012852331[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 32 )[/C][C]94.882962962963[/C][C]0.43420357944378[/C][C]218.521835044541[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 32 )[/C][C]94.8653846153846[/C][C]0.434009461631548[/C][C]218.579070278243[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 32 )[/C][C]94.8484[/C][C]0.433517587619592[/C][C]218.787893983274[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 32 )[/C][C]94.8329166666667[/C][C]0.43327999791109[/C][C]218.872131471267[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 32 )[/C][C]94.8178260869565[/C][C]0.432749987850811[/C][C]219.105323509898[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 32 )[/C][C]94.8011363636364[/C][C]0.431336143268024[/C][C]219.784819434269[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 32 )[/C][C]94.7833333333333[/C][C]0.428729677842338[/C][C]221.079477890003[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 32 )[/C][C]94.76225[/C][C]0.425380295539572[/C][C]222.770661908068[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 32 )[/C][C]94.7423684210526[/C][C]0.421521735924027[/C][C]224.76271173387[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 32 )[/C][C]94.7272222222222[/C][C]0.418813064165923[/C][C]226.180199060586[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 32 )[/C][C]94.7094117647059[/C][C]0.414574270211807[/C][C]228.44980639131[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 32 )[/C][C]94.6828125[/C][C]0.409818073911629[/C][C]231.036204909833[/C][/ROW]
[ROW][C]Median[/C][C]94.225[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]93.335[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]94.7534693877551[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]94.8329166666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]94.7534693877551[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]94.8329166666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]94.8329166666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]94.7534693877551[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]94.8329166666667[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]94.8484[/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=281496&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281496&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 Mean94.646250.477239417507405198.320269717728
Geometric Mean94.5310831912888
Harmonic Mean94.4151642322013
Quadratic Mean94.7604854246572
Winsorized Mean ( 1 / 32 )94.65041666666670.476260122530604198.736808288174
Winsorized Mean ( 2 / 32 )94.64833333333330.47592043016449198.874280939401
Winsorized Mean ( 3 / 32 )94.65552083333330.474148125075883199.632806347562
Winsorized Mean ( 4 / 32 )94.65218750.473591313818857199.860480414561
Winsorized Mean ( 5 / 32 )94.65583333333330.472476785530778200.339648914173
Winsorized Mean ( 6 / 32 )94.66395833333330.470690480094829201.117214680572
Winsorized Mean ( 7 / 32 )94.66541666666670.46913371818804201.787705714903
Winsorized Mean ( 8 / 32 )94.661250.46786804749675202.324673605024
Winsorized Mean ( 9 / 32 )94.7006250.460992917052278205.42750549302
Winsorized Mean ( 10 / 32 )94.78604166666670.447466711473001211.828141035662
Winsorized Mean ( 11 / 32 )94.81239583333330.443186644990644213.933332389416
Winsorized Mean ( 12 / 32 )94.85364583333330.436141653709772217.483574491267
Winsorized Mean ( 13 / 32 )94.93760416666670.423792809378025224.018912227418
Winsorized Mean ( 14 / 32 )95.02947916666670.41122864605659231.086720436274
Winsorized Mean ( 15 / 32 )95.05916666666670.406826875618052233.659997320119
Winsorized Mean ( 16 / 32 )95.09583333333330.401664783063211236.754222284825
Winsorized Mean ( 17 / 32 )95.10291666666670.40084357092007237.256934041311
Winsorized Mean ( 18 / 32 )95.08604166666670.397723772365359239.07558027313
Winsorized Mean ( 19 / 32 )95.08208333333330.396243238822905239.958878833587
Winsorized Mean ( 20 / 32 )95.06541666666660.39258022190204242.155389810718
Winsorized Mean ( 21 / 32 )95.08291666666670.388460267918692244.768704856498
Winsorized Mean ( 22 / 32 )95.060.385550273191311246.556692109594
Winsorized Mean ( 23 / 32 )95.02645833333330.378478254351307251.075080908423
Winsorized Mean ( 24 / 32 )95.00645833333330.374812350101678253.477395575573
Winsorized Mean ( 25 / 32 )95.00906250.373899762523356254.103029803516
Winsorized Mean ( 26 / 32 )95.00364583333330.373232211001093254.54299771853
Winsorized Mean ( 27 / 32 )95.02052083333330.368007030878668258.203003911253
Winsorized Mean ( 28 / 32 )94.98260416666670.360630334032481263.379408782933
Winsorized Mean ( 29 / 32 )94.90708333333330.344513129529382275.481760195845
Winsorized Mean ( 30 / 32 )94.91645833333330.341296578954853278.105507602785
Winsorized Mean ( 31 / 32 )94.98427083333340.330819514873095287.11810084653
Winsorized Mean ( 32 / 32 )95.01093750.327146222408382290.42345896752
Trimmed Mean ( 1 / 32 )94.67414893617020.474053341722068199.712016779066
Trimmed Mean ( 2 / 32 )94.69891304347830.47139593697456200.890388770128
Trimmed Mean ( 3 / 32 )94.72588888888890.468420404409359202.224087587155
Trimmed Mean ( 4 / 32 )94.75147727272730.465604110333415203.502235418146
Trimmed Mean ( 5 / 32 )94.77918604651160.462399091372619204.972690939254
Trimmed Mean ( 6 / 32 )94.8073809523810.458868845422228206.611065227459
Trimmed Mean ( 7 / 32 )94.83536585365850.455081291735204208.392143504857
Trimmed Mean ( 8 / 32 )94.86450.450887588084444210.395013096332
Trimmed Mean ( 9 / 32 )94.89576923076920.446121724101144212.712728621246
Trimmed Mean ( 10 / 32 )94.92315789473680.441756113174724214.876840554763
Trimmed Mean ( 11 / 32 )94.94094594594590.438934970710199216.298432071455
Trimmed Mean ( 12 / 32 )94.95652777777780.436136390909805217.72209280609
Trimmed Mean ( 13 / 32 )94.96828571428570.433758955083413218.94253617432
Trimmed Mean ( 14 / 32 )94.97161764705880.432606673842965219.533408496452
Trimmed Mean ( 15 / 32 )94.96560606060610.432740609266713219.451569894323
Trimmed Mean ( 16 / 32 )94.956250.433078994727986219.258498232271
Trimmed Mean ( 17 / 32 )94.94274193548390.433708880942627218.908918187551
Trimmed Mean ( 18 / 32 )94.92766666666670.43403841160608218.707985579903
Trimmed Mean ( 19 / 32 )94.91310344827590.434331105481917218.527068981081
Trimmed Mean ( 20 / 32 )94.89785714285710.434307159415835218.504012852331
Trimmed Mean ( 21 / 32 )94.8829629629630.43420357944378218.521835044541
Trimmed Mean ( 22 / 32 )94.86538461538460.434009461631548218.579070278243
Trimmed Mean ( 23 / 32 )94.84840.433517587619592218.787893983274
Trimmed Mean ( 24 / 32 )94.83291666666670.43327999791109218.872131471267
Trimmed Mean ( 25 / 32 )94.81782608695650.432749987850811219.105323509898
Trimmed Mean ( 26 / 32 )94.80113636363640.431336143268024219.784819434269
Trimmed Mean ( 27 / 32 )94.78333333333330.428729677842338221.079477890003
Trimmed Mean ( 28 / 32 )94.762250.425380295539572222.770661908068
Trimmed Mean ( 29 / 32 )94.74236842105260.421521735924027224.76271173387
Trimmed Mean ( 30 / 32 )94.72722222222220.418813064165923226.180199060586
Trimmed Mean ( 31 / 32 )94.70941176470590.414574270211807228.44980639131
Trimmed Mean ( 32 / 32 )94.68281250.409818073911629231.036204909833
Median94.225
Midrange93.335
Midmean - Weighted Average at Xnp94.7534693877551
Midmean - Weighted Average at X(n+1)p94.8329166666667
Midmean - Empirical Distribution Function94.7534693877551
Midmean - Empirical Distribution Function - Averaging94.8329166666667
Midmean - Empirical Distribution Function - Interpolation94.8329166666667
Midmean - Closest Observation94.7534693877551
Midmean - True Basic - Statistics Graphics Toolkit94.8329166666667
Midmean - MS Excel (old versions)94.8484
Number of observations96



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')