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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 computationMon, 12 Nov 2007 11:08:39 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/12/t1194890727ptex4abt2ndc22u.htm/, Retrieved Mon, 29 Apr 2024 05:31:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=5281, Retrieved Mon, 29 Apr 2024 05:31:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsmethode 1
Estimated Impact169
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Back-to-back hist...] [2007-11-12 18:08:39] [6dd0685065b0babfa744248f2bd1b94f] [Current]
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Dataseries X:
100,6
96,1
110
108,2
106,9
117,2
105,2
106,3
95,9
107,5
113
111,4
95,5
90,3
110,8
107,1
101,4
112,9
98,5
100,1
93,4
104,4
101,8
107,9
91,3
86,6
111,4
98,4
102,2
103
95,8
96
95,7
106,4
112
116,2
93,9
100,5
112,5
101,2
107,8
114,3
99,6
98,6
93,6
99,6
113,1
110,7
88,1
93,1
107,4
99,5
105,6
108,3
99,2
99,3
107,1
106,9
115,4
99
100,1
96,2
96,9
96,2
91
99
99
107,2
110,8
111,1
104,6
94,3
90,7
88,8
90,9
90,5
95,5
103,1
100,6
103,1




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5281&T=0

[TABLE]
[ROW][C]Summary of compuational 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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=5281&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5281&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean102.016250.842388564072274121.103555236829
Geometric Mean101.740724187079
Harmonic Mean101.464710451030
Quadratic Mean102.290640456495
Winsorized Mean ( 1 / 26 )102.02250.83546957727793122.113961746402
Winsorized Mean ( 2 / 26 )102.020.827659503156073123.263249695040
Winsorized Mean ( 3 / 26 )102.0350.808616767046892126.184620648712
Winsorized Mean ( 4 / 26 )101.9850.795716578574131128.167494238652
Winsorized Mean ( 5 / 26 )101.991250.792345088780886128.720744842282
Winsorized Mean ( 6 / 26 )101.998750.788339654337688129.384269126602
Winsorized Mean ( 7 / 26 )101.97250.78073110616049130.611550116767
Winsorized Mean ( 8 / 26 )101.95250.767011657611143132.921708540299
Winsorized Mean ( 9 / 26 )102.08750.722095611941251141.376707338731
Winsorized Mean ( 10 / 26 )102.1250.716250124262697142.582872296360
Winsorized Mean ( 11 / 26 )102.111250.705321081722916144.772717909649
Winsorized Mean ( 12 / 26 )102.111250.691290743185473147.711004387923
Winsorized Mean ( 13 / 26 )102.176250.681649720150322149.895535756205
Winsorized Mean ( 14 / 26 )102.368750.64938041002973157.640650101092
Winsorized Mean ( 15 / 26 )102.23750.628455951448781162.680454794503
Winsorized Mean ( 16 / 26 )101.93750.572360134371465178.100279663856
Winsorized Mean ( 17 / 26 )101.93750.566455152570279179.956876616729
Winsorized Mean ( 18 / 26 )101.89250.554015191378793183.916436923719
Winsorized Mean ( 19 / 26 )101.89250.547519651690551186.098343110410
Winsorized Mean ( 20 / 26 )101.84250.533962898132706190.729543861845
Winsorized Mean ( 21 / 26 )101.84250.526884126645881193.292025418045
Winsorized Mean ( 22 / 26 )101.78750.519585932391592195.901185260125
Winsorized Mean ( 23 / 26 )101.960.488881440935467208.557722716782
Winsorized Mean ( 24 / 26 )102.410.432828495283194236.606418283516
Winsorized Mean ( 25 / 26 )102.378750.420633540220259243.391789314734
Winsorized Mean ( 26 / 26 )102.411250.416856051369404245.675334839379
Trimmed Mean ( 1 / 26 )102.0192307692310.817778350701958124.751689356487
Trimmed Mean ( 2 / 26 )102.0157894736840.79711552934838127.981184304713
Trimmed Mean ( 3 / 26 )102.0135135135140.777786101231013131.158828053182
Trimmed Mean ( 4 / 26 )102.0055555555560.7634779802495133.606414584767
Trimmed Mean ( 5 / 26 )102.0114285714290.751025641996603135.829488191949
Trimmed Mean ( 6 / 26 )102.0161764705880.737139103209674138.394742629154
Trimmed Mean ( 7 / 26 )102.0196969696970.721560145016558141.387655172329
Trimmed Mean ( 8 / 26 )102.0281250.70470171540056144.782001760853
Trimmed Mean ( 9 / 26 )102.0403225806450.687535238950428148.414680149947
Trimmed Mean ( 10 / 26 )102.0333333333330.676530141246542150.818606759089
Trimmed Mean ( 11 / 26 )102.0206896551720.664080397598688153.62701568075
Trimmed Mean ( 12 / 26 )102.0089285714290.650825034768379156.737868277812
Trimmed Mean ( 13 / 26 )101.9962962962960.637068117162288160.102653936947
Trimmed Mean ( 14 / 26 )101.9750.621630434166274164.044413521626
Trimmed Mean ( 15 / 26 )101.930.608324899764484167.558487314037
Trimmed Mean ( 16 / 26 )101.8958333333330.595535684222224171.099458912207
Trimmed Mean ( 17 / 26 )101.8913043478260.590061210997823172.679210984777
Trimmed Mean ( 18 / 26 )101.8863636363640.583336170517432174.661488153543
Trimmed Mean ( 19 / 26 )101.8857142857140.576248545273636176.808627321277
Trimmed Mean ( 20 / 26 )101.8850.567377570663758179.571779478008
Trimmed Mean ( 21 / 26 )101.8894736842110.557628965923619182.719119541159
Trimmed Mean ( 22 / 26 )101.8944444444440.545150983082908186.910502973353
Trimmed Mean ( 23 / 26 )101.9058823529410.528913411708417192.670255843542
Trimmed Mean ( 24 / 26 )101.90.513762214359158198.340783249514
Trimmed Mean ( 25 / 26 )101.8433333333330.505661813598576201.406019981138
Trimmed Mean ( 26 / 26 )101.7821428571430.495483665458515205.419774560993
Median100.9
Midrange101.9
Midmean - Weighted Average at Xnp101.741463414634
Midmean - Weighted Average at X(n+1)p101.885
Midmean - Empirical Distribution Function101.741463414634
Midmean - Empirical Distribution Function - Averaging101.885
Midmean - Empirical Distribution Function - Interpolation101.885
Midmean - Closest Observation101.741463414634
Midmean - True Basic - Statistics Graphics Toolkit101.885
Midmean - MS Excel (old versions)101.885714285714
Number of observations80

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 102.01625 & 0.842388564072274 & 121.103555236829 \tabularnewline
Geometric Mean & 101.740724187079 &  &  \tabularnewline
Harmonic Mean & 101.464710451030 &  &  \tabularnewline
Quadratic Mean & 102.290640456495 &  &  \tabularnewline
Winsorized Mean ( 1 / 26 ) & 102.0225 & 0.83546957727793 & 122.113961746402 \tabularnewline
Winsorized Mean ( 2 / 26 ) & 102.02 & 0.827659503156073 & 123.263249695040 \tabularnewline
Winsorized Mean ( 3 / 26 ) & 102.035 & 0.808616767046892 & 126.184620648712 \tabularnewline
Winsorized Mean ( 4 / 26 ) & 101.985 & 0.795716578574131 & 128.167494238652 \tabularnewline
Winsorized Mean ( 5 / 26 ) & 101.99125 & 0.792345088780886 & 128.720744842282 \tabularnewline
Winsorized Mean ( 6 / 26 ) & 101.99875 & 0.788339654337688 & 129.384269126602 \tabularnewline
Winsorized Mean ( 7 / 26 ) & 101.9725 & 0.78073110616049 & 130.611550116767 \tabularnewline
Winsorized Mean ( 8 / 26 ) & 101.9525 & 0.767011657611143 & 132.921708540299 \tabularnewline
Winsorized Mean ( 9 / 26 ) & 102.0875 & 0.722095611941251 & 141.376707338731 \tabularnewline
Winsorized Mean ( 10 / 26 ) & 102.125 & 0.716250124262697 & 142.582872296360 \tabularnewline
Winsorized Mean ( 11 / 26 ) & 102.11125 & 0.705321081722916 & 144.772717909649 \tabularnewline
Winsorized Mean ( 12 / 26 ) & 102.11125 & 0.691290743185473 & 147.711004387923 \tabularnewline
Winsorized Mean ( 13 / 26 ) & 102.17625 & 0.681649720150322 & 149.895535756205 \tabularnewline
Winsorized Mean ( 14 / 26 ) & 102.36875 & 0.64938041002973 & 157.640650101092 \tabularnewline
Winsorized Mean ( 15 / 26 ) & 102.2375 & 0.628455951448781 & 162.680454794503 \tabularnewline
Winsorized Mean ( 16 / 26 ) & 101.9375 & 0.572360134371465 & 178.100279663856 \tabularnewline
Winsorized Mean ( 17 / 26 ) & 101.9375 & 0.566455152570279 & 179.956876616729 \tabularnewline
Winsorized Mean ( 18 / 26 ) & 101.8925 & 0.554015191378793 & 183.916436923719 \tabularnewline
Winsorized Mean ( 19 / 26 ) & 101.8925 & 0.547519651690551 & 186.098343110410 \tabularnewline
Winsorized Mean ( 20 / 26 ) & 101.8425 & 0.533962898132706 & 190.729543861845 \tabularnewline
Winsorized Mean ( 21 / 26 ) & 101.8425 & 0.526884126645881 & 193.292025418045 \tabularnewline
Winsorized Mean ( 22 / 26 ) & 101.7875 & 0.519585932391592 & 195.901185260125 \tabularnewline
Winsorized Mean ( 23 / 26 ) & 101.96 & 0.488881440935467 & 208.557722716782 \tabularnewline
Winsorized Mean ( 24 / 26 ) & 102.41 & 0.432828495283194 & 236.606418283516 \tabularnewline
Winsorized Mean ( 25 / 26 ) & 102.37875 & 0.420633540220259 & 243.391789314734 \tabularnewline
Winsorized Mean ( 26 / 26 ) & 102.41125 & 0.416856051369404 & 245.675334839379 \tabularnewline
Trimmed Mean ( 1 / 26 ) & 102.019230769231 & 0.817778350701958 & 124.751689356487 \tabularnewline
Trimmed Mean ( 2 / 26 ) & 102.015789473684 & 0.79711552934838 & 127.981184304713 \tabularnewline
Trimmed Mean ( 3 / 26 ) & 102.013513513514 & 0.777786101231013 & 131.158828053182 \tabularnewline
Trimmed Mean ( 4 / 26 ) & 102.005555555556 & 0.7634779802495 & 133.606414584767 \tabularnewline
Trimmed Mean ( 5 / 26 ) & 102.011428571429 & 0.751025641996603 & 135.829488191949 \tabularnewline
Trimmed Mean ( 6 / 26 ) & 102.016176470588 & 0.737139103209674 & 138.394742629154 \tabularnewline
Trimmed Mean ( 7 / 26 ) & 102.019696969697 & 0.721560145016558 & 141.387655172329 \tabularnewline
Trimmed Mean ( 8 / 26 ) & 102.028125 & 0.70470171540056 & 144.782001760853 \tabularnewline
Trimmed Mean ( 9 / 26 ) & 102.040322580645 & 0.687535238950428 & 148.414680149947 \tabularnewline
Trimmed Mean ( 10 / 26 ) & 102.033333333333 & 0.676530141246542 & 150.818606759089 \tabularnewline
Trimmed Mean ( 11 / 26 ) & 102.020689655172 & 0.664080397598688 & 153.62701568075 \tabularnewline
Trimmed Mean ( 12 / 26 ) & 102.008928571429 & 0.650825034768379 & 156.737868277812 \tabularnewline
Trimmed Mean ( 13 / 26 ) & 101.996296296296 & 0.637068117162288 & 160.102653936947 \tabularnewline
Trimmed Mean ( 14 / 26 ) & 101.975 & 0.621630434166274 & 164.044413521626 \tabularnewline
Trimmed Mean ( 15 / 26 ) & 101.93 & 0.608324899764484 & 167.558487314037 \tabularnewline
Trimmed Mean ( 16 / 26 ) & 101.895833333333 & 0.595535684222224 & 171.099458912207 \tabularnewline
Trimmed Mean ( 17 / 26 ) & 101.891304347826 & 0.590061210997823 & 172.679210984777 \tabularnewline
Trimmed Mean ( 18 / 26 ) & 101.886363636364 & 0.583336170517432 & 174.661488153543 \tabularnewline
Trimmed Mean ( 19 / 26 ) & 101.885714285714 & 0.576248545273636 & 176.808627321277 \tabularnewline
Trimmed Mean ( 20 / 26 ) & 101.885 & 0.567377570663758 & 179.571779478008 \tabularnewline
Trimmed Mean ( 21 / 26 ) & 101.889473684211 & 0.557628965923619 & 182.719119541159 \tabularnewline
Trimmed Mean ( 22 / 26 ) & 101.894444444444 & 0.545150983082908 & 186.910502973353 \tabularnewline
Trimmed Mean ( 23 / 26 ) & 101.905882352941 & 0.528913411708417 & 192.670255843542 \tabularnewline
Trimmed Mean ( 24 / 26 ) & 101.9 & 0.513762214359158 & 198.340783249514 \tabularnewline
Trimmed Mean ( 25 / 26 ) & 101.843333333333 & 0.505661813598576 & 201.406019981138 \tabularnewline
Trimmed Mean ( 26 / 26 ) & 101.782142857143 & 0.495483665458515 & 205.419774560993 \tabularnewline
Median & 100.9 &  &  \tabularnewline
Midrange & 101.9 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 101.741463414634 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 101.885 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 101.741463414634 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 101.885 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 101.885 &  &  \tabularnewline
Midmean - Closest Observation & 101.741463414634 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 101.885 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 101.885714285714 &  &  \tabularnewline
Number of observations & 80 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5281&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]102.01625[/C][C]0.842388564072274[/C][C]121.103555236829[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]101.740724187079[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]101.464710451030[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]102.290640456495[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 26 )[/C][C]102.0225[/C][C]0.83546957727793[/C][C]122.113961746402[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 26 )[/C][C]102.02[/C][C]0.827659503156073[/C][C]123.263249695040[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 26 )[/C][C]102.035[/C][C]0.808616767046892[/C][C]126.184620648712[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 26 )[/C][C]101.985[/C][C]0.795716578574131[/C][C]128.167494238652[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 26 )[/C][C]101.99125[/C][C]0.792345088780886[/C][C]128.720744842282[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 26 )[/C][C]101.99875[/C][C]0.788339654337688[/C][C]129.384269126602[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 26 )[/C][C]101.9725[/C][C]0.78073110616049[/C][C]130.611550116767[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 26 )[/C][C]101.9525[/C][C]0.767011657611143[/C][C]132.921708540299[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 26 )[/C][C]102.0875[/C][C]0.722095611941251[/C][C]141.376707338731[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 26 )[/C][C]102.125[/C][C]0.716250124262697[/C][C]142.582872296360[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 26 )[/C][C]102.11125[/C][C]0.705321081722916[/C][C]144.772717909649[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 26 )[/C][C]102.11125[/C][C]0.691290743185473[/C][C]147.711004387923[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 26 )[/C][C]102.17625[/C][C]0.681649720150322[/C][C]149.895535756205[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 26 )[/C][C]102.36875[/C][C]0.64938041002973[/C][C]157.640650101092[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 26 )[/C][C]102.2375[/C][C]0.628455951448781[/C][C]162.680454794503[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 26 )[/C][C]101.9375[/C][C]0.572360134371465[/C][C]178.100279663856[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 26 )[/C][C]101.9375[/C][C]0.566455152570279[/C][C]179.956876616729[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 26 )[/C][C]101.8925[/C][C]0.554015191378793[/C][C]183.916436923719[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 26 )[/C][C]101.8925[/C][C]0.547519651690551[/C][C]186.098343110410[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 26 )[/C][C]101.8425[/C][C]0.533962898132706[/C][C]190.729543861845[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 26 )[/C][C]101.8425[/C][C]0.526884126645881[/C][C]193.292025418045[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 26 )[/C][C]101.7875[/C][C]0.519585932391592[/C][C]195.901185260125[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 26 )[/C][C]101.96[/C][C]0.488881440935467[/C][C]208.557722716782[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 26 )[/C][C]102.41[/C][C]0.432828495283194[/C][C]236.606418283516[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 26 )[/C][C]102.37875[/C][C]0.420633540220259[/C][C]243.391789314734[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 26 )[/C][C]102.41125[/C][C]0.416856051369404[/C][C]245.675334839379[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 26 )[/C][C]102.019230769231[/C][C]0.817778350701958[/C][C]124.751689356487[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 26 )[/C][C]102.015789473684[/C][C]0.79711552934838[/C][C]127.981184304713[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 26 )[/C][C]102.013513513514[/C][C]0.777786101231013[/C][C]131.158828053182[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 26 )[/C][C]102.005555555556[/C][C]0.7634779802495[/C][C]133.606414584767[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 26 )[/C][C]102.011428571429[/C][C]0.751025641996603[/C][C]135.829488191949[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 26 )[/C][C]102.016176470588[/C][C]0.737139103209674[/C][C]138.394742629154[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 26 )[/C][C]102.019696969697[/C][C]0.721560145016558[/C][C]141.387655172329[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 26 )[/C][C]102.028125[/C][C]0.70470171540056[/C][C]144.782001760853[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 26 )[/C][C]102.040322580645[/C][C]0.687535238950428[/C][C]148.414680149947[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 26 )[/C][C]102.033333333333[/C][C]0.676530141246542[/C][C]150.818606759089[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 26 )[/C][C]102.020689655172[/C][C]0.664080397598688[/C][C]153.62701568075[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 26 )[/C][C]102.008928571429[/C][C]0.650825034768379[/C][C]156.737868277812[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 26 )[/C][C]101.996296296296[/C][C]0.637068117162288[/C][C]160.102653936947[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 26 )[/C][C]101.975[/C][C]0.621630434166274[/C][C]164.044413521626[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 26 )[/C][C]101.93[/C][C]0.608324899764484[/C][C]167.558487314037[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 26 )[/C][C]101.895833333333[/C][C]0.595535684222224[/C][C]171.099458912207[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 26 )[/C][C]101.891304347826[/C][C]0.590061210997823[/C][C]172.679210984777[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 26 )[/C][C]101.886363636364[/C][C]0.583336170517432[/C][C]174.661488153543[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 26 )[/C][C]101.885714285714[/C][C]0.576248545273636[/C][C]176.808627321277[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 26 )[/C][C]101.885[/C][C]0.567377570663758[/C][C]179.571779478008[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 26 )[/C][C]101.889473684211[/C][C]0.557628965923619[/C][C]182.719119541159[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 26 )[/C][C]101.894444444444[/C][C]0.545150983082908[/C][C]186.910502973353[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 26 )[/C][C]101.905882352941[/C][C]0.528913411708417[/C][C]192.670255843542[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 26 )[/C][C]101.9[/C][C]0.513762214359158[/C][C]198.340783249514[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 26 )[/C][C]101.843333333333[/C][C]0.505661813598576[/C][C]201.406019981138[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 26 )[/C][C]101.782142857143[/C][C]0.495483665458515[/C][C]205.419774560993[/C][/ROW]
[ROW][C]Median[/C][C]100.9[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]101.9[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]101.741463414634[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]101.885[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]101.741463414634[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]101.885[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]101.885[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]101.741463414634[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]101.885[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]101.885714285714[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]80[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=5281&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5281&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 Mean102.016250.842388564072274121.103555236829
Geometric Mean101.740724187079
Harmonic Mean101.464710451030
Quadratic Mean102.290640456495
Winsorized Mean ( 1 / 26 )102.02250.83546957727793122.113961746402
Winsorized Mean ( 2 / 26 )102.020.827659503156073123.263249695040
Winsorized Mean ( 3 / 26 )102.0350.808616767046892126.184620648712
Winsorized Mean ( 4 / 26 )101.9850.795716578574131128.167494238652
Winsorized Mean ( 5 / 26 )101.991250.792345088780886128.720744842282
Winsorized Mean ( 6 / 26 )101.998750.788339654337688129.384269126602
Winsorized Mean ( 7 / 26 )101.97250.78073110616049130.611550116767
Winsorized Mean ( 8 / 26 )101.95250.767011657611143132.921708540299
Winsorized Mean ( 9 / 26 )102.08750.722095611941251141.376707338731
Winsorized Mean ( 10 / 26 )102.1250.716250124262697142.582872296360
Winsorized Mean ( 11 / 26 )102.111250.705321081722916144.772717909649
Winsorized Mean ( 12 / 26 )102.111250.691290743185473147.711004387923
Winsorized Mean ( 13 / 26 )102.176250.681649720150322149.895535756205
Winsorized Mean ( 14 / 26 )102.368750.64938041002973157.640650101092
Winsorized Mean ( 15 / 26 )102.23750.628455951448781162.680454794503
Winsorized Mean ( 16 / 26 )101.93750.572360134371465178.100279663856
Winsorized Mean ( 17 / 26 )101.93750.566455152570279179.956876616729
Winsorized Mean ( 18 / 26 )101.89250.554015191378793183.916436923719
Winsorized Mean ( 19 / 26 )101.89250.547519651690551186.098343110410
Winsorized Mean ( 20 / 26 )101.84250.533962898132706190.729543861845
Winsorized Mean ( 21 / 26 )101.84250.526884126645881193.292025418045
Winsorized Mean ( 22 / 26 )101.78750.519585932391592195.901185260125
Winsorized Mean ( 23 / 26 )101.960.488881440935467208.557722716782
Winsorized Mean ( 24 / 26 )102.410.432828495283194236.606418283516
Winsorized Mean ( 25 / 26 )102.378750.420633540220259243.391789314734
Winsorized Mean ( 26 / 26 )102.411250.416856051369404245.675334839379
Trimmed Mean ( 1 / 26 )102.0192307692310.817778350701958124.751689356487
Trimmed Mean ( 2 / 26 )102.0157894736840.79711552934838127.981184304713
Trimmed Mean ( 3 / 26 )102.0135135135140.777786101231013131.158828053182
Trimmed Mean ( 4 / 26 )102.0055555555560.7634779802495133.606414584767
Trimmed Mean ( 5 / 26 )102.0114285714290.751025641996603135.829488191949
Trimmed Mean ( 6 / 26 )102.0161764705880.737139103209674138.394742629154
Trimmed Mean ( 7 / 26 )102.0196969696970.721560145016558141.387655172329
Trimmed Mean ( 8 / 26 )102.0281250.70470171540056144.782001760853
Trimmed Mean ( 9 / 26 )102.0403225806450.687535238950428148.414680149947
Trimmed Mean ( 10 / 26 )102.0333333333330.676530141246542150.818606759089
Trimmed Mean ( 11 / 26 )102.0206896551720.664080397598688153.62701568075
Trimmed Mean ( 12 / 26 )102.0089285714290.650825034768379156.737868277812
Trimmed Mean ( 13 / 26 )101.9962962962960.637068117162288160.102653936947
Trimmed Mean ( 14 / 26 )101.9750.621630434166274164.044413521626
Trimmed Mean ( 15 / 26 )101.930.608324899764484167.558487314037
Trimmed Mean ( 16 / 26 )101.8958333333330.595535684222224171.099458912207
Trimmed Mean ( 17 / 26 )101.8913043478260.590061210997823172.679210984777
Trimmed Mean ( 18 / 26 )101.8863636363640.583336170517432174.661488153543
Trimmed Mean ( 19 / 26 )101.8857142857140.576248545273636176.808627321277
Trimmed Mean ( 20 / 26 )101.8850.567377570663758179.571779478008
Trimmed Mean ( 21 / 26 )101.8894736842110.557628965923619182.719119541159
Trimmed Mean ( 22 / 26 )101.8944444444440.545150983082908186.910502973353
Trimmed Mean ( 23 / 26 )101.9058823529410.528913411708417192.670255843542
Trimmed Mean ( 24 / 26 )101.90.513762214359158198.340783249514
Trimmed Mean ( 25 / 26 )101.8433333333330.505661813598576201.406019981138
Trimmed Mean ( 26 / 26 )101.7821428571430.495483665458515205.419774560993
Median100.9
Midrange101.9
Midmean - Weighted Average at Xnp101.741463414634
Midmean - Weighted Average at X(n+1)p101.885
Midmean - Empirical Distribution Function101.741463414634
Midmean - Empirical Distribution Function - Averaging101.885
Midmean - Empirical Distribution Function - Interpolation101.885
Midmean - Closest Observation101.741463414634
Midmean - True Basic - Statistics Graphics Toolkit101.885
Midmean - MS Excel (old versions)101.885714285714
Number of observations80



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')