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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationSat, 09 May 2015 14:15:37 +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/May/09/t1431177356ssa6je0j6gpbhfg.htm/, Retrieved Fri, 03 May 2024 12:14:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279043, Retrieved Fri, 03 May 2024 12:14:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [consumentenvertro...] [2015-05-09 13:15:37] [e6344a6a1a33122c0bdf1792ef294740] [Current]
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Dataseries X:
-5
-6
-6
-7
-12
-16
-18
-19
-20
-24
-17
-23
-25
-24
-17
-14
-16
-13
-10
-10
-12
-12
-20
-16
-12
-14
-7
-9
-9
-4
-3
1
-1
-2
1
-3
-2
0
-2
-4
-4
-7
-9
-13
-8
-13
-15
-15
-15
-10
-12
-11
-11
-17
-18
-19
-22
-24
-24
-20
-25
-22
-17
-9
-11
-13
-11
-9
-7
-3
-3
-6
-4
-8
-1
-2
-2
-1
1
2
2
-1
1
-1
-8
1
2
-2
-2
-2
-2
-6
-4
-5
-2
-1




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' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279043&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' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279043&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279043&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' @ fisher.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean-9.3750.778021839318242-12.0497902837985
Geometric MeanNaN
Harmonic Mean0
Quadratic Mean12.058019461476
Winsorized Mean ( 1 / 32 )-9.3750.778021839318242-12.0497902837985
Winsorized Mean ( 2 / 32 )-9.354166666666670.773743912294543-12.0894866092411
Winsorized Mean ( 3 / 32 )-9.385416666666670.769108875962822-12.2029753653764
Winsorized Mean ( 4 / 32 )-9.385416666666670.769108875962822-12.2029753653764
Winsorized Mean ( 5 / 32 )-9.385416666666670.769108875962822-12.2029753653764
Winsorized Mean ( 6 / 32 )-9.322916666666670.756911834025803-12.3170444001129
Winsorized Mean ( 7 / 32 )-9.250.743391941675028-12.4429651189892
Winsorized Mean ( 8 / 32 )-9.333333333333330.731746688666419-12.7548692435397
Winsorized Mean ( 9 / 32 )-9.239583333333330.686930751838668-13.4505309430423
Winsorized Mean ( 10 / 32 )-9.239583333333330.686930751838668-13.4505309430423
Winsorized Mean ( 11 / 32 )-9.239583333333330.686930751838668-13.4505309430423
Winsorized Mean ( 12 / 32 )-9.114583333333330.666864519708613-13.6678186707488
Winsorized Mean ( 13 / 32 )-9.114583333333330.666864519708613-13.6678186707488
Winsorized Mean ( 14 / 32 )-8.968750.644724394571929-13.9109828564109
Winsorized Mean ( 15 / 32 )-9.1250.62517541398044-14.5959034791562
Winsorized Mean ( 16 / 32 )-8.958333333333330.600970827638509-14.9064362550421
Winsorized Mean ( 17 / 32 )-8.958333333333330.600970827638509-14.9064362550421
Winsorized Mean ( 18 / 32 )-8.958333333333330.600970827638509-14.9064362550421
Winsorized Mean ( 19 / 32 )-8.958333333333330.600970827638509-14.9064362550421
Winsorized Mean ( 20 / 32 )-8.750.572391106628473-15.2867504380697
Winsorized Mean ( 21 / 32 )-8.750.572391106628473-15.2867504380697
Winsorized Mean ( 22 / 32 )-8.750.572391106628473-15.2867504380697
Winsorized Mean ( 23 / 32 )-8.510416666666670.541277483331783-15.7228351977281
Winsorized Mean ( 24 / 32 )-8.510416666666670.541277483331783-15.7228351977281
Winsorized Mean ( 25 / 32 )-8.770833333333330.509230406324236-17.2237031104321
Winsorized Mean ( 26 / 32 )-8.50.475265392157325-17.8847442718621
Winsorized Mean ( 27 / 32 )-8.50.475265392157325-17.8847442718621
Winsorized Mean ( 28 / 32 )-8.208333333333330.440772016761765-18.6226280734375
Winsorized Mean ( 29 / 32 )-8.510416666666670.404198034141797-21.0550669419662
Winsorized Mean ( 30 / 32 )-8.510416666666670.404198034141797-21.0550669419662
Winsorized Mean ( 31 / 32 )-8.510416666666670.404198034141797-21.0550669419662
Winsorized Mean ( 32 / 32 )-8.177083333333330.366345989656536-22.3206574227813
Trimmed Mean ( 1 / 32 )-9.329787234042550.767294804680369-12.1593254341518
Trimmed Mean ( 2 / 32 )-9.282608695652170.755031867927049-12.2943270211067
Trimmed Mean ( 3 / 32 )-9.244444444444440.743563493886687-12.4326227961014
Trimmed Mean ( 4 / 32 )-9.193181818181820.732307505626303-12.5537178679049
Trimmed Mean ( 5 / 32 )-9.139534883720930.719317732431839-12.7058384238942
Trimmed Mean ( 6 / 32 )-9.083333333333330.704303697707132-12.8968985437734
Trimmed Mean ( 7 / 32 )-9.036585365853660.690069170291338-13.095187779565
Trimmed Mean ( 8 / 32 )-90.676691504605358-13.3000044167079
Trimmed Mean ( 9 / 32 )-8.948717948717950.663469883526097-13.4877530554346
Trimmed Mean ( 10 / 32 )-8.90789473684210.656727033892503-13.5640749917723
Trimmed Mean ( 11 / 32 )-8.864864864864860.648617795144284-13.6673167637852
Trimmed Mean ( 12 / 32 )-8.819444444444440.638895267709872-13.80421000152
Trimmed Mean ( 13 / 32 )-8.785714285714290.630781452686224-13.9283015508775
Trimmed Mean ( 14 / 32 )-8.750.620959282241542-14.0911010596608
Trimmed Mean ( 15 / 32 )-8.727272727272730.612817808532648-14.2412191776372
Trimmed Mean ( 16 / 32 )-8.68750.605806477429251-14.3403881002817
Trimmed Mean ( 17 / 32 )-8.661290322580650.600961484332863-14.4123883948997
Trimmed Mean ( 18 / 32 )-8.633333333333330.594687719725628-14.5174232575653
Trimmed Mean ( 19 / 32 )-8.603448275862070.586673775859768-14.66479094494
Trimmed Mean ( 20 / 32 )-8.571428571428570.576519529668383-14.8675424340939
Trimmed Mean ( 21 / 32 )-8.555555555555560.568609732346839-15.0464458640973
Trimmed Mean ( 22 / 32 )-8.538461538461540.558400496936147-15.2909275427058
Trimmed Mean ( 23 / 32 )-8.520.545287791455305-15.6247767390155
Trimmed Mean ( 24 / 32 )-8.520833333333330.534276855454391-15.9483482137488
Trimmed Mean ( 25 / 32 )-8.521739130434780.519883980400517-16.3916170755438
Trimmed Mean ( 26 / 32 )-8.50.507345619047823-16.7538649805484
Trimmed Mean ( 27 / 32 )-8.50.497671698641121-17.0795325979135
Trimmed Mean ( 28 / 32 )-8.50.484371122813267-17.5485275642184
Trimmed Mean ( 29 / 32 )-8.526315789473680.473684210526316-18
Trimmed Mean ( 30 / 32 )-8.527777777777780.467152996777918-18.2547855554737
Trimmed Mean ( 31 / 32 )-8.529411764705880.457138456965896-18.6582678283446
Trimmed Mean ( 32 / 32 )-8.531250.44219115110199-19.2931269174862
Median-9
Midrange-11.5
Midmean - Weighted Average at Xnp-7.62068965517241
Midmean - Weighted Average at X(n+1)p-7.62068965517241
Midmean - Empirical Distribution Function-7.62068965517241
Midmean - Empirical Distribution Function - Averaging-7.62068965517241
Midmean - Empirical Distribution Function - Interpolation-7.62068965517241
Midmean - Closest Observation-7.62068965517241
Midmean - True Basic - Statistics Graphics Toolkit-7.62068965517241
Midmean - MS Excel (old versions)-7.62068965517241
Number of observations96

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & -9.375 & 0.778021839318242 & -12.0497902837985 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & 0 &  &  \tabularnewline
Quadratic Mean & 12.058019461476 &  &  \tabularnewline
Winsorized Mean ( 1 / 32 ) & -9.375 & 0.778021839318242 & -12.0497902837985 \tabularnewline
Winsorized Mean ( 2 / 32 ) & -9.35416666666667 & 0.773743912294543 & -12.0894866092411 \tabularnewline
Winsorized Mean ( 3 / 32 ) & -9.38541666666667 & 0.769108875962822 & -12.2029753653764 \tabularnewline
Winsorized Mean ( 4 / 32 ) & -9.38541666666667 & 0.769108875962822 & -12.2029753653764 \tabularnewline
Winsorized Mean ( 5 / 32 ) & -9.38541666666667 & 0.769108875962822 & -12.2029753653764 \tabularnewline
Winsorized Mean ( 6 / 32 ) & -9.32291666666667 & 0.756911834025803 & -12.3170444001129 \tabularnewline
Winsorized Mean ( 7 / 32 ) & -9.25 & 0.743391941675028 & -12.4429651189892 \tabularnewline
Winsorized Mean ( 8 / 32 ) & -9.33333333333333 & 0.731746688666419 & -12.7548692435397 \tabularnewline
Winsorized Mean ( 9 / 32 ) & -9.23958333333333 & 0.686930751838668 & -13.4505309430423 \tabularnewline
Winsorized Mean ( 10 / 32 ) & -9.23958333333333 & 0.686930751838668 & -13.4505309430423 \tabularnewline
Winsorized Mean ( 11 / 32 ) & -9.23958333333333 & 0.686930751838668 & -13.4505309430423 \tabularnewline
Winsorized Mean ( 12 / 32 ) & -9.11458333333333 & 0.666864519708613 & -13.6678186707488 \tabularnewline
Winsorized Mean ( 13 / 32 ) & -9.11458333333333 & 0.666864519708613 & -13.6678186707488 \tabularnewline
Winsorized Mean ( 14 / 32 ) & -8.96875 & 0.644724394571929 & -13.9109828564109 \tabularnewline
Winsorized Mean ( 15 / 32 ) & -9.125 & 0.62517541398044 & -14.5959034791562 \tabularnewline
Winsorized Mean ( 16 / 32 ) & -8.95833333333333 & 0.600970827638509 & -14.9064362550421 \tabularnewline
Winsorized Mean ( 17 / 32 ) & -8.95833333333333 & 0.600970827638509 & -14.9064362550421 \tabularnewline
Winsorized Mean ( 18 / 32 ) & -8.95833333333333 & 0.600970827638509 & -14.9064362550421 \tabularnewline
Winsorized Mean ( 19 / 32 ) & -8.95833333333333 & 0.600970827638509 & -14.9064362550421 \tabularnewline
Winsorized Mean ( 20 / 32 ) & -8.75 & 0.572391106628473 & -15.2867504380697 \tabularnewline
Winsorized Mean ( 21 / 32 ) & -8.75 & 0.572391106628473 & -15.2867504380697 \tabularnewline
Winsorized Mean ( 22 / 32 ) & -8.75 & 0.572391106628473 & -15.2867504380697 \tabularnewline
Winsorized Mean ( 23 / 32 ) & -8.51041666666667 & 0.541277483331783 & -15.7228351977281 \tabularnewline
Winsorized Mean ( 24 / 32 ) & -8.51041666666667 & 0.541277483331783 & -15.7228351977281 \tabularnewline
Winsorized Mean ( 25 / 32 ) & -8.77083333333333 & 0.509230406324236 & -17.2237031104321 \tabularnewline
Winsorized Mean ( 26 / 32 ) & -8.5 & 0.475265392157325 & -17.8847442718621 \tabularnewline
Winsorized Mean ( 27 / 32 ) & -8.5 & 0.475265392157325 & -17.8847442718621 \tabularnewline
Winsorized Mean ( 28 / 32 ) & -8.20833333333333 & 0.440772016761765 & -18.6226280734375 \tabularnewline
Winsorized Mean ( 29 / 32 ) & -8.51041666666667 & 0.404198034141797 & -21.0550669419662 \tabularnewline
Winsorized Mean ( 30 / 32 ) & -8.51041666666667 & 0.404198034141797 & -21.0550669419662 \tabularnewline
Winsorized Mean ( 31 / 32 ) & -8.51041666666667 & 0.404198034141797 & -21.0550669419662 \tabularnewline
Winsorized Mean ( 32 / 32 ) & -8.17708333333333 & 0.366345989656536 & -22.3206574227813 \tabularnewline
Trimmed Mean ( 1 / 32 ) & -9.32978723404255 & 0.767294804680369 & -12.1593254341518 \tabularnewline
Trimmed Mean ( 2 / 32 ) & -9.28260869565217 & 0.755031867927049 & -12.2943270211067 \tabularnewline
Trimmed Mean ( 3 / 32 ) & -9.24444444444444 & 0.743563493886687 & -12.4326227961014 \tabularnewline
Trimmed Mean ( 4 / 32 ) & -9.19318181818182 & 0.732307505626303 & -12.5537178679049 \tabularnewline
Trimmed Mean ( 5 / 32 ) & -9.13953488372093 & 0.719317732431839 & -12.7058384238942 \tabularnewline
Trimmed Mean ( 6 / 32 ) & -9.08333333333333 & 0.704303697707132 & -12.8968985437734 \tabularnewline
Trimmed Mean ( 7 / 32 ) & -9.03658536585366 & 0.690069170291338 & -13.095187779565 \tabularnewline
Trimmed Mean ( 8 / 32 ) & -9 & 0.676691504605358 & -13.3000044167079 \tabularnewline
Trimmed Mean ( 9 / 32 ) & -8.94871794871795 & 0.663469883526097 & -13.4877530554346 \tabularnewline
Trimmed Mean ( 10 / 32 ) & -8.9078947368421 & 0.656727033892503 & -13.5640749917723 \tabularnewline
Trimmed Mean ( 11 / 32 ) & -8.86486486486486 & 0.648617795144284 & -13.6673167637852 \tabularnewline
Trimmed Mean ( 12 / 32 ) & -8.81944444444444 & 0.638895267709872 & -13.80421000152 \tabularnewline
Trimmed Mean ( 13 / 32 ) & -8.78571428571429 & 0.630781452686224 & -13.9283015508775 \tabularnewline
Trimmed Mean ( 14 / 32 ) & -8.75 & 0.620959282241542 & -14.0911010596608 \tabularnewline
Trimmed Mean ( 15 / 32 ) & -8.72727272727273 & 0.612817808532648 & -14.2412191776372 \tabularnewline
Trimmed Mean ( 16 / 32 ) & -8.6875 & 0.605806477429251 & -14.3403881002817 \tabularnewline
Trimmed Mean ( 17 / 32 ) & -8.66129032258065 & 0.600961484332863 & -14.4123883948997 \tabularnewline
Trimmed Mean ( 18 / 32 ) & -8.63333333333333 & 0.594687719725628 & -14.5174232575653 \tabularnewline
Trimmed Mean ( 19 / 32 ) & -8.60344827586207 & 0.586673775859768 & -14.66479094494 \tabularnewline
Trimmed Mean ( 20 / 32 ) & -8.57142857142857 & 0.576519529668383 & -14.8675424340939 \tabularnewline
Trimmed Mean ( 21 / 32 ) & -8.55555555555556 & 0.568609732346839 & -15.0464458640973 \tabularnewline
Trimmed Mean ( 22 / 32 ) & -8.53846153846154 & 0.558400496936147 & -15.2909275427058 \tabularnewline
Trimmed Mean ( 23 / 32 ) & -8.52 & 0.545287791455305 & -15.6247767390155 \tabularnewline
Trimmed Mean ( 24 / 32 ) & -8.52083333333333 & 0.534276855454391 & -15.9483482137488 \tabularnewline
Trimmed Mean ( 25 / 32 ) & -8.52173913043478 & 0.519883980400517 & -16.3916170755438 \tabularnewline
Trimmed Mean ( 26 / 32 ) & -8.5 & 0.507345619047823 & -16.7538649805484 \tabularnewline
Trimmed Mean ( 27 / 32 ) & -8.5 & 0.497671698641121 & -17.0795325979135 \tabularnewline
Trimmed Mean ( 28 / 32 ) & -8.5 & 0.484371122813267 & -17.5485275642184 \tabularnewline
Trimmed Mean ( 29 / 32 ) & -8.52631578947368 & 0.473684210526316 & -18 \tabularnewline
Trimmed Mean ( 30 / 32 ) & -8.52777777777778 & 0.467152996777918 & -18.2547855554737 \tabularnewline
Trimmed Mean ( 31 / 32 ) & -8.52941176470588 & 0.457138456965896 & -18.6582678283446 \tabularnewline
Trimmed Mean ( 32 / 32 ) & -8.53125 & 0.44219115110199 & -19.2931269174862 \tabularnewline
Median & -9 &  &  \tabularnewline
Midrange & -11.5 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & -7.62068965517241 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & -7.62068965517241 &  &  \tabularnewline
Midmean - Empirical Distribution Function & -7.62068965517241 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & -7.62068965517241 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & -7.62068965517241 &  &  \tabularnewline
Midmean - Closest Observation & -7.62068965517241 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & -7.62068965517241 &  &  \tabularnewline
Midmean - MS Excel (old versions) & -7.62068965517241 &  &  \tabularnewline
Number of observations & 96 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279043&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]-9.375[/C][C]0.778021839318242[/C][C]-12.0497902837985[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]0[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]12.058019461476[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 32 )[/C][C]-9.375[/C][C]0.778021839318242[/C][C]-12.0497902837985[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 32 )[/C][C]-9.35416666666667[/C][C]0.773743912294543[/C][C]-12.0894866092411[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 32 )[/C][C]-9.38541666666667[/C][C]0.769108875962822[/C][C]-12.2029753653764[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 32 )[/C][C]-9.38541666666667[/C][C]0.769108875962822[/C][C]-12.2029753653764[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 32 )[/C][C]-9.38541666666667[/C][C]0.769108875962822[/C][C]-12.2029753653764[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 32 )[/C][C]-9.32291666666667[/C][C]0.756911834025803[/C][C]-12.3170444001129[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 32 )[/C][C]-9.25[/C][C]0.743391941675028[/C][C]-12.4429651189892[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 32 )[/C][C]-9.33333333333333[/C][C]0.731746688666419[/C][C]-12.7548692435397[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 32 )[/C][C]-9.23958333333333[/C][C]0.686930751838668[/C][C]-13.4505309430423[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 32 )[/C][C]-9.23958333333333[/C][C]0.686930751838668[/C][C]-13.4505309430423[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 32 )[/C][C]-9.23958333333333[/C][C]0.686930751838668[/C][C]-13.4505309430423[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 32 )[/C][C]-9.11458333333333[/C][C]0.666864519708613[/C][C]-13.6678186707488[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 32 )[/C][C]-9.11458333333333[/C][C]0.666864519708613[/C][C]-13.6678186707488[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 32 )[/C][C]-8.96875[/C][C]0.644724394571929[/C][C]-13.9109828564109[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 32 )[/C][C]-9.125[/C][C]0.62517541398044[/C][C]-14.5959034791562[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 32 )[/C][C]-8.95833333333333[/C][C]0.600970827638509[/C][C]-14.9064362550421[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 32 )[/C][C]-8.95833333333333[/C][C]0.600970827638509[/C][C]-14.9064362550421[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 32 )[/C][C]-8.95833333333333[/C][C]0.600970827638509[/C][C]-14.9064362550421[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 32 )[/C][C]-8.95833333333333[/C][C]0.600970827638509[/C][C]-14.9064362550421[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 32 )[/C][C]-8.75[/C][C]0.572391106628473[/C][C]-15.2867504380697[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 32 )[/C][C]-8.75[/C][C]0.572391106628473[/C][C]-15.2867504380697[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 32 )[/C][C]-8.75[/C][C]0.572391106628473[/C][C]-15.2867504380697[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 32 )[/C][C]-8.51041666666667[/C][C]0.541277483331783[/C][C]-15.7228351977281[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 32 )[/C][C]-8.51041666666667[/C][C]0.541277483331783[/C][C]-15.7228351977281[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 32 )[/C][C]-8.77083333333333[/C][C]0.509230406324236[/C][C]-17.2237031104321[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 32 )[/C][C]-8.5[/C][C]0.475265392157325[/C][C]-17.8847442718621[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 32 )[/C][C]-8.5[/C][C]0.475265392157325[/C][C]-17.8847442718621[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 32 )[/C][C]-8.20833333333333[/C][C]0.440772016761765[/C][C]-18.6226280734375[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 32 )[/C][C]-8.51041666666667[/C][C]0.404198034141797[/C][C]-21.0550669419662[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 32 )[/C][C]-8.51041666666667[/C][C]0.404198034141797[/C][C]-21.0550669419662[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 32 )[/C][C]-8.51041666666667[/C][C]0.404198034141797[/C][C]-21.0550669419662[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 32 )[/C][C]-8.17708333333333[/C][C]0.366345989656536[/C][C]-22.3206574227813[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 32 )[/C][C]-9.32978723404255[/C][C]0.767294804680369[/C][C]-12.1593254341518[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 32 )[/C][C]-9.28260869565217[/C][C]0.755031867927049[/C][C]-12.2943270211067[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 32 )[/C][C]-9.24444444444444[/C][C]0.743563493886687[/C][C]-12.4326227961014[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 32 )[/C][C]-9.19318181818182[/C][C]0.732307505626303[/C][C]-12.5537178679049[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 32 )[/C][C]-9.13953488372093[/C][C]0.719317732431839[/C][C]-12.7058384238942[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 32 )[/C][C]-9.08333333333333[/C][C]0.704303697707132[/C][C]-12.8968985437734[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 32 )[/C][C]-9.03658536585366[/C][C]0.690069170291338[/C][C]-13.095187779565[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 32 )[/C][C]-9[/C][C]0.676691504605358[/C][C]-13.3000044167079[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 32 )[/C][C]-8.94871794871795[/C][C]0.663469883526097[/C][C]-13.4877530554346[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 32 )[/C][C]-8.9078947368421[/C][C]0.656727033892503[/C][C]-13.5640749917723[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 32 )[/C][C]-8.86486486486486[/C][C]0.648617795144284[/C][C]-13.6673167637852[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 32 )[/C][C]-8.81944444444444[/C][C]0.638895267709872[/C][C]-13.80421000152[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 32 )[/C][C]-8.78571428571429[/C][C]0.630781452686224[/C][C]-13.9283015508775[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 32 )[/C][C]-8.75[/C][C]0.620959282241542[/C][C]-14.0911010596608[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 32 )[/C][C]-8.72727272727273[/C][C]0.612817808532648[/C][C]-14.2412191776372[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 32 )[/C][C]-8.6875[/C][C]0.605806477429251[/C][C]-14.3403881002817[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 32 )[/C][C]-8.66129032258065[/C][C]0.600961484332863[/C][C]-14.4123883948997[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 32 )[/C][C]-8.63333333333333[/C][C]0.594687719725628[/C][C]-14.5174232575653[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 32 )[/C][C]-8.60344827586207[/C][C]0.586673775859768[/C][C]-14.66479094494[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 32 )[/C][C]-8.57142857142857[/C][C]0.576519529668383[/C][C]-14.8675424340939[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 32 )[/C][C]-8.55555555555556[/C][C]0.568609732346839[/C][C]-15.0464458640973[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 32 )[/C][C]-8.53846153846154[/C][C]0.558400496936147[/C][C]-15.2909275427058[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 32 )[/C][C]-8.52[/C][C]0.545287791455305[/C][C]-15.6247767390155[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 32 )[/C][C]-8.52083333333333[/C][C]0.534276855454391[/C][C]-15.9483482137488[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 32 )[/C][C]-8.52173913043478[/C][C]0.519883980400517[/C][C]-16.3916170755438[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 32 )[/C][C]-8.5[/C][C]0.507345619047823[/C][C]-16.7538649805484[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 32 )[/C][C]-8.5[/C][C]0.497671698641121[/C][C]-17.0795325979135[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 32 )[/C][C]-8.5[/C][C]0.484371122813267[/C][C]-17.5485275642184[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 32 )[/C][C]-8.52631578947368[/C][C]0.473684210526316[/C][C]-18[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 32 )[/C][C]-8.52777777777778[/C][C]0.467152996777918[/C][C]-18.2547855554737[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 32 )[/C][C]-8.52941176470588[/C][C]0.457138456965896[/C][C]-18.6582678283446[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 32 )[/C][C]-8.53125[/C][C]0.44219115110199[/C][C]-19.2931269174862[/C][/ROW]
[ROW][C]Median[/C][C]-9[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]-11.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]-7.62068965517241[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]-7.62068965517241[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]-7.62068965517241[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]-7.62068965517241[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]-7.62068965517241[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]-7.62068965517241[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]-7.62068965517241[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]-7.62068965517241[/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=279043&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279043&T=1

As an alternative you can also use a QR Code:  

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

Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean-9.3750.778021839318242-12.0497902837985
Geometric MeanNaN
Harmonic Mean0
Quadratic Mean12.058019461476
Winsorized Mean ( 1 / 32 )-9.3750.778021839318242-12.0497902837985
Winsorized Mean ( 2 / 32 )-9.354166666666670.773743912294543-12.0894866092411
Winsorized Mean ( 3 / 32 )-9.385416666666670.769108875962822-12.2029753653764
Winsorized Mean ( 4 / 32 )-9.385416666666670.769108875962822-12.2029753653764
Winsorized Mean ( 5 / 32 )-9.385416666666670.769108875962822-12.2029753653764
Winsorized Mean ( 6 / 32 )-9.322916666666670.756911834025803-12.3170444001129
Winsorized Mean ( 7 / 32 )-9.250.743391941675028-12.4429651189892
Winsorized Mean ( 8 / 32 )-9.333333333333330.731746688666419-12.7548692435397
Winsorized Mean ( 9 / 32 )-9.239583333333330.686930751838668-13.4505309430423
Winsorized Mean ( 10 / 32 )-9.239583333333330.686930751838668-13.4505309430423
Winsorized Mean ( 11 / 32 )-9.239583333333330.686930751838668-13.4505309430423
Winsorized Mean ( 12 / 32 )-9.114583333333330.666864519708613-13.6678186707488
Winsorized Mean ( 13 / 32 )-9.114583333333330.666864519708613-13.6678186707488
Winsorized Mean ( 14 / 32 )-8.968750.644724394571929-13.9109828564109
Winsorized Mean ( 15 / 32 )-9.1250.62517541398044-14.5959034791562
Winsorized Mean ( 16 / 32 )-8.958333333333330.600970827638509-14.9064362550421
Winsorized Mean ( 17 / 32 )-8.958333333333330.600970827638509-14.9064362550421
Winsorized Mean ( 18 / 32 )-8.958333333333330.600970827638509-14.9064362550421
Winsorized Mean ( 19 / 32 )-8.958333333333330.600970827638509-14.9064362550421
Winsorized Mean ( 20 / 32 )-8.750.572391106628473-15.2867504380697
Winsorized Mean ( 21 / 32 )-8.750.572391106628473-15.2867504380697
Winsorized Mean ( 22 / 32 )-8.750.572391106628473-15.2867504380697
Winsorized Mean ( 23 / 32 )-8.510416666666670.541277483331783-15.7228351977281
Winsorized Mean ( 24 / 32 )-8.510416666666670.541277483331783-15.7228351977281
Winsorized Mean ( 25 / 32 )-8.770833333333330.509230406324236-17.2237031104321
Winsorized Mean ( 26 / 32 )-8.50.475265392157325-17.8847442718621
Winsorized Mean ( 27 / 32 )-8.50.475265392157325-17.8847442718621
Winsorized Mean ( 28 / 32 )-8.208333333333330.440772016761765-18.6226280734375
Winsorized Mean ( 29 / 32 )-8.510416666666670.404198034141797-21.0550669419662
Winsorized Mean ( 30 / 32 )-8.510416666666670.404198034141797-21.0550669419662
Winsorized Mean ( 31 / 32 )-8.510416666666670.404198034141797-21.0550669419662
Winsorized Mean ( 32 / 32 )-8.177083333333330.366345989656536-22.3206574227813
Trimmed Mean ( 1 / 32 )-9.329787234042550.767294804680369-12.1593254341518
Trimmed Mean ( 2 / 32 )-9.282608695652170.755031867927049-12.2943270211067
Trimmed Mean ( 3 / 32 )-9.244444444444440.743563493886687-12.4326227961014
Trimmed Mean ( 4 / 32 )-9.193181818181820.732307505626303-12.5537178679049
Trimmed Mean ( 5 / 32 )-9.139534883720930.719317732431839-12.7058384238942
Trimmed Mean ( 6 / 32 )-9.083333333333330.704303697707132-12.8968985437734
Trimmed Mean ( 7 / 32 )-9.036585365853660.690069170291338-13.095187779565
Trimmed Mean ( 8 / 32 )-90.676691504605358-13.3000044167079
Trimmed Mean ( 9 / 32 )-8.948717948717950.663469883526097-13.4877530554346
Trimmed Mean ( 10 / 32 )-8.90789473684210.656727033892503-13.5640749917723
Trimmed Mean ( 11 / 32 )-8.864864864864860.648617795144284-13.6673167637852
Trimmed Mean ( 12 / 32 )-8.819444444444440.638895267709872-13.80421000152
Trimmed Mean ( 13 / 32 )-8.785714285714290.630781452686224-13.9283015508775
Trimmed Mean ( 14 / 32 )-8.750.620959282241542-14.0911010596608
Trimmed Mean ( 15 / 32 )-8.727272727272730.612817808532648-14.2412191776372
Trimmed Mean ( 16 / 32 )-8.68750.605806477429251-14.3403881002817
Trimmed Mean ( 17 / 32 )-8.661290322580650.600961484332863-14.4123883948997
Trimmed Mean ( 18 / 32 )-8.633333333333330.594687719725628-14.5174232575653
Trimmed Mean ( 19 / 32 )-8.603448275862070.586673775859768-14.66479094494
Trimmed Mean ( 20 / 32 )-8.571428571428570.576519529668383-14.8675424340939
Trimmed Mean ( 21 / 32 )-8.555555555555560.568609732346839-15.0464458640973
Trimmed Mean ( 22 / 32 )-8.538461538461540.558400496936147-15.2909275427058
Trimmed Mean ( 23 / 32 )-8.520.545287791455305-15.6247767390155
Trimmed Mean ( 24 / 32 )-8.520833333333330.534276855454391-15.9483482137488
Trimmed Mean ( 25 / 32 )-8.521739130434780.519883980400517-16.3916170755438
Trimmed Mean ( 26 / 32 )-8.50.507345619047823-16.7538649805484
Trimmed Mean ( 27 / 32 )-8.50.497671698641121-17.0795325979135
Trimmed Mean ( 28 / 32 )-8.50.484371122813267-17.5485275642184
Trimmed Mean ( 29 / 32 )-8.526315789473680.473684210526316-18
Trimmed Mean ( 30 / 32 )-8.527777777777780.467152996777918-18.2547855554737
Trimmed Mean ( 31 / 32 )-8.529411764705880.457138456965896-18.6582678283446
Trimmed Mean ( 32 / 32 )-8.531250.44219115110199-19.2931269174862
Median-9
Midrange-11.5
Midmean - Weighted Average at Xnp-7.62068965517241
Midmean - Weighted Average at X(n+1)p-7.62068965517241
Midmean - Empirical Distribution Function-7.62068965517241
Midmean - Empirical Distribution Function - Averaging-7.62068965517241
Midmean - Empirical Distribution Function - Interpolation-7.62068965517241
Midmean - Closest Observation-7.62068965517241
Midmean - True Basic - Statistics Graphics Toolkit-7.62068965517241
Midmean - MS Excel (old versions)-7.62068965517241
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')