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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 computationTue, 26 May 2009 07:46:10 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/26/t12433456170dsd6o7ftjpz6r2.htm/, Retrieved Sat, 04 May 2024 16:23:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40372, Retrieved Sat, 04 May 2024 16:23:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsFilip Bosschaerts
Estimated Impact140
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [centrummaten eige...] [2009-05-26 13:46:10] [2fef2e3c8097f11f80164f604c894b1e] [Current]
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Dataseries X:
528222
516141
501866
506174
517945
533590
528379
477580
469357
490243
492622
507561
516922
514258
509846
527070
541657
564591
555362
498662
511038
525919
531673
548854
560576
557274
565742
587625
619916
625809
619567
572942
572775
574205
579799
590072
593408
597141
595404
612117
628232
628884
620735
569028
567456
573100
584428
589379
590865
595454
594167
611324
612613
610763
593530
542722
536662
543599
555332
560854
562325
554788
547344
565464
577992
579714
569323
506971
500857
509127
509933
517009
519164
512238
509239
518585
522975
525192
516847
455626




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40372&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40372&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40372&T=0

As an alternative you can also use a QR Code:  

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

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







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean551621.84660.87707181895118.351501552201
Geometric Mean550061.460962555
Harmonic Mean548497.698732117
Quadratic Mean553175.187862263
Winsorized Mean ( 1 / 26 )551785.28754617.38766526346119.501615957238
Winsorized Mean ( 2 / 26 )551930.28754560.37629065882121.027356586898
Winsorized Mean ( 3 / 26 )552214.8754431.09881418458124.622559359832
Winsorized Mean ( 4 / 26 )552292.8754402.37540624646125.453380058493
Winsorized Mean ( 5 / 26 )552648.56254335.97178994994127.456678519207
Winsorized Mean ( 6 / 26 )552291.63754211.99999843139131.123370775328
Winsorized Mean ( 7 / 26 )552336.5254190.59405349583131.803872660783
Winsorized Mean ( 8 / 26 )552688.0254112.58309069132134.389509661455
Winsorized Mean ( 9 / 26 )552714.5754088.44859823811135.189317345995
Winsorized Mean ( 10 / 26 )551085.5753793.18373782712145.283121801973
Winsorized Mean ( 11 / 26 )551068.93753726.89389159696147.862792322179
Winsorized Mean ( 12 / 26 )551078.23753723.37204819158148.005149731856
Winsorized Mean ( 13 / 26 )550975.86253679.29650311446149.750329182116
Winsorized Mean ( 14 / 26 )550879.61253660.6387343619150.487292648950
Winsorized Mean ( 15 / 26 )551063.9253628.12685498704151.886620017857
Winsorized Mean ( 16 / 26 )550795.3253520.51032035862156.453262419038
Winsorized Mean ( 17 / 26 )551056.06253437.41922986092160.310984971797
Winsorized Mean ( 18 / 26 )551323.81253358.22891387772164.171004013955
Winsorized Mean ( 19 / 26 )551074.91253276.7328546426168.178163111227
Winsorized Mean ( 20 / 26 )550294.41253163.19787820415173.967748363697
Winsorized Mean ( 21 / 26 )549102.13752998.28745390565183.138590259158
Winsorized Mean ( 22 / 26 )549336.16252960.54221195173185.552551921850
Winsorized Mean ( 23 / 26 )549025.08752872.08950709587191.158766516003
Winsorized Mean ( 24 / 26 )548062.68752706.64025718851202.488190310630
Winsorized Mean ( 25 / 26 )548908.31252505.85080599320219.050675797293
Winsorized Mean ( 26 / 26 )549577.48752406.12564370383228.407643191075
Trimmed Mean ( 1 / 26 )551861.9743589744508.938065389122.392893039520
Trimmed Mean ( 2 / 26 )551942.6973684214382.28433498313125.948627514272
Trimmed Mean ( 3 / 26 )551949.4054054054269.67485441554129.271999443845
Trimmed Mean ( 4 / 26 )551851.0833333334194.49141026961131.565672534745
Trimmed Mean ( 5 / 26 )551724.8571428574115.24609058069134.068496755441
Trimmed Mean ( 6 / 26 )551507.5147058824040.39697746526136.498348499377
Trimmed Mean ( 7 / 26 )551349.1060606063983.49780445553138.408286668044
Trimmed Mean ( 8 / 26 )551172.781253919.18322157059140.634604224785
Trimmed Mean ( 9 / 26 )550928.3870967743857.75455106788142.810637588197
Trimmed Mean ( 10 / 26 )550663.7666666673786.9875177414145.409448562188
Trimmed Mean ( 11 / 26 )550605.5862068973760.44355586717146.420383134809
Trimmed Mean ( 12 / 26 )550545.4107142863737.22401281124147.313997990757
Trimmed Mean ( 13 / 26 )550479.629629633705.583976767148.554082995012
Trimmed Mean ( 14 / 26 )550420.9038461543671.01450948555149.937000364319
Trimmed Mean ( 15 / 26 )550368.483627.64170904122151.715225521944
Trimmed Mean ( 16 / 26 )550291.2083333333575.54601803567153.904104592018
Trimmed Mean ( 17 / 26 )550236.4130434783526.81109887199156.01527771631
Trimmed Mean ( 18 / 26 )550148.753476.42486691599158.251298693548
Trimmed Mean ( 19 / 26 )550024.4047619053422.41310345609160.712452919979
Trimmed Mean ( 20 / 26 )549913.8253364.08247995008163.466213529985
Trimmed Mean ( 21 / 26 )549873.7631578953306.83692738915166.283906715665
Trimmed Mean ( 22 / 26 )549955.4166666673261.00057592003168.646218810160
Trimmed Mean ( 23 / 26 )550021.6470588233199.90641515403171.886791580543
Trimmed Mean ( 24 / 26 )550129.968753129.85575954761175.768473378312
Trimmed Mean ( 25 / 26 )550359.6666666673065.85719851493179.512492275653
Trimmed Mean ( 26 / 26 )550525.5357142863023.22028519423182.099047962334
Median555060
Midrange542255
Midmean - Weighted Average at Xnp549107.317073171
Midmean - Weighted Average at X(n+1)p549913.825
Midmean - Empirical Distribution Function549107.317073171
Midmean - Empirical Distribution Function - Averaging549913.825
Midmean - Empirical Distribution Function - Interpolation549913.825
Midmean - Closest Observation549107.317073171
Midmean - True Basic - Statistics Graphics Toolkit549913.825
Midmean - MS Excel (old versions)550024.404761905
Number of observations80

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 551621.8 & 4660.87707181895 & 118.351501552201 \tabularnewline
Geometric Mean & 550061.460962555 &  &  \tabularnewline
Harmonic Mean & 548497.698732117 &  &  \tabularnewline
Quadratic Mean & 553175.187862263 &  &  \tabularnewline
Winsorized Mean ( 1 / 26 ) & 551785.2875 & 4617.38766526346 & 119.501615957238 \tabularnewline
Winsorized Mean ( 2 / 26 ) & 551930.2875 & 4560.37629065882 & 121.027356586898 \tabularnewline
Winsorized Mean ( 3 / 26 ) & 552214.875 & 4431.09881418458 & 124.622559359832 \tabularnewline
Winsorized Mean ( 4 / 26 ) & 552292.875 & 4402.37540624646 & 125.453380058493 \tabularnewline
Winsorized Mean ( 5 / 26 ) & 552648.5625 & 4335.97178994994 & 127.456678519207 \tabularnewline
Winsorized Mean ( 6 / 26 ) & 552291.6375 & 4211.99999843139 & 131.123370775328 \tabularnewline
Winsorized Mean ( 7 / 26 ) & 552336.525 & 4190.59405349583 & 131.803872660783 \tabularnewline
Winsorized Mean ( 8 / 26 ) & 552688.025 & 4112.58309069132 & 134.389509661455 \tabularnewline
Winsorized Mean ( 9 / 26 ) & 552714.575 & 4088.44859823811 & 135.189317345995 \tabularnewline
Winsorized Mean ( 10 / 26 ) & 551085.575 & 3793.18373782712 & 145.283121801973 \tabularnewline
Winsorized Mean ( 11 / 26 ) & 551068.9375 & 3726.89389159696 & 147.862792322179 \tabularnewline
Winsorized Mean ( 12 / 26 ) & 551078.2375 & 3723.37204819158 & 148.005149731856 \tabularnewline
Winsorized Mean ( 13 / 26 ) & 550975.8625 & 3679.29650311446 & 149.750329182116 \tabularnewline
Winsorized Mean ( 14 / 26 ) & 550879.6125 & 3660.6387343619 & 150.487292648950 \tabularnewline
Winsorized Mean ( 15 / 26 ) & 551063.925 & 3628.12685498704 & 151.886620017857 \tabularnewline
Winsorized Mean ( 16 / 26 ) & 550795.325 & 3520.51032035862 & 156.453262419038 \tabularnewline
Winsorized Mean ( 17 / 26 ) & 551056.0625 & 3437.41922986092 & 160.310984971797 \tabularnewline
Winsorized Mean ( 18 / 26 ) & 551323.8125 & 3358.22891387772 & 164.171004013955 \tabularnewline
Winsorized Mean ( 19 / 26 ) & 551074.9125 & 3276.7328546426 & 168.178163111227 \tabularnewline
Winsorized Mean ( 20 / 26 ) & 550294.4125 & 3163.19787820415 & 173.967748363697 \tabularnewline
Winsorized Mean ( 21 / 26 ) & 549102.1375 & 2998.28745390565 & 183.138590259158 \tabularnewline
Winsorized Mean ( 22 / 26 ) & 549336.1625 & 2960.54221195173 & 185.552551921850 \tabularnewline
Winsorized Mean ( 23 / 26 ) & 549025.0875 & 2872.08950709587 & 191.158766516003 \tabularnewline
Winsorized Mean ( 24 / 26 ) & 548062.6875 & 2706.64025718851 & 202.488190310630 \tabularnewline
Winsorized Mean ( 25 / 26 ) & 548908.3125 & 2505.85080599320 & 219.050675797293 \tabularnewline
Winsorized Mean ( 26 / 26 ) & 549577.4875 & 2406.12564370383 & 228.407643191075 \tabularnewline
Trimmed Mean ( 1 / 26 ) & 551861.974358974 & 4508.938065389 & 122.392893039520 \tabularnewline
Trimmed Mean ( 2 / 26 ) & 551942.697368421 & 4382.28433498313 & 125.948627514272 \tabularnewline
Trimmed Mean ( 3 / 26 ) & 551949.405405405 & 4269.67485441554 & 129.271999443845 \tabularnewline
Trimmed Mean ( 4 / 26 ) & 551851.083333333 & 4194.49141026961 & 131.565672534745 \tabularnewline
Trimmed Mean ( 5 / 26 ) & 551724.857142857 & 4115.24609058069 & 134.068496755441 \tabularnewline
Trimmed Mean ( 6 / 26 ) & 551507.514705882 & 4040.39697746526 & 136.498348499377 \tabularnewline
Trimmed Mean ( 7 / 26 ) & 551349.106060606 & 3983.49780445553 & 138.408286668044 \tabularnewline
Trimmed Mean ( 8 / 26 ) & 551172.78125 & 3919.18322157059 & 140.634604224785 \tabularnewline
Trimmed Mean ( 9 / 26 ) & 550928.387096774 & 3857.75455106788 & 142.810637588197 \tabularnewline
Trimmed Mean ( 10 / 26 ) & 550663.766666667 & 3786.9875177414 & 145.409448562188 \tabularnewline
Trimmed Mean ( 11 / 26 ) & 550605.586206897 & 3760.44355586717 & 146.420383134809 \tabularnewline
Trimmed Mean ( 12 / 26 ) & 550545.410714286 & 3737.22401281124 & 147.313997990757 \tabularnewline
Trimmed Mean ( 13 / 26 ) & 550479.62962963 & 3705.583976767 & 148.554082995012 \tabularnewline
Trimmed Mean ( 14 / 26 ) & 550420.903846154 & 3671.01450948555 & 149.937000364319 \tabularnewline
Trimmed Mean ( 15 / 26 ) & 550368.48 & 3627.64170904122 & 151.715225521944 \tabularnewline
Trimmed Mean ( 16 / 26 ) & 550291.208333333 & 3575.54601803567 & 153.904104592018 \tabularnewline
Trimmed Mean ( 17 / 26 ) & 550236.413043478 & 3526.81109887199 & 156.01527771631 \tabularnewline
Trimmed Mean ( 18 / 26 ) & 550148.75 & 3476.42486691599 & 158.251298693548 \tabularnewline
Trimmed Mean ( 19 / 26 ) & 550024.404761905 & 3422.41310345609 & 160.712452919979 \tabularnewline
Trimmed Mean ( 20 / 26 ) & 549913.825 & 3364.08247995008 & 163.466213529985 \tabularnewline
Trimmed Mean ( 21 / 26 ) & 549873.763157895 & 3306.83692738915 & 166.283906715665 \tabularnewline
Trimmed Mean ( 22 / 26 ) & 549955.416666667 & 3261.00057592003 & 168.646218810160 \tabularnewline
Trimmed Mean ( 23 / 26 ) & 550021.647058823 & 3199.90641515403 & 171.886791580543 \tabularnewline
Trimmed Mean ( 24 / 26 ) & 550129.96875 & 3129.85575954761 & 175.768473378312 \tabularnewline
Trimmed Mean ( 25 / 26 ) & 550359.666666667 & 3065.85719851493 & 179.512492275653 \tabularnewline
Trimmed Mean ( 26 / 26 ) & 550525.535714286 & 3023.22028519423 & 182.099047962334 \tabularnewline
Median & 555060 &  &  \tabularnewline
Midrange & 542255 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 549107.317073171 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 549913.825 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 549107.317073171 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 549913.825 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 549913.825 &  &  \tabularnewline
Midmean - Closest Observation & 549107.317073171 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 549913.825 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 550024.404761905 &  &  \tabularnewline
Number of observations & 80 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40372&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]551621.8[/C][C]4660.87707181895[/C][C]118.351501552201[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]550061.460962555[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]548497.698732117[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]553175.187862263[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 26 )[/C][C]551785.2875[/C][C]4617.38766526346[/C][C]119.501615957238[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 26 )[/C][C]551930.2875[/C][C]4560.37629065882[/C][C]121.027356586898[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 26 )[/C][C]552214.875[/C][C]4431.09881418458[/C][C]124.622559359832[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 26 )[/C][C]552292.875[/C][C]4402.37540624646[/C][C]125.453380058493[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 26 )[/C][C]552648.5625[/C][C]4335.97178994994[/C][C]127.456678519207[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 26 )[/C][C]552291.6375[/C][C]4211.99999843139[/C][C]131.123370775328[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 26 )[/C][C]552336.525[/C][C]4190.59405349583[/C][C]131.803872660783[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 26 )[/C][C]552688.025[/C][C]4112.58309069132[/C][C]134.389509661455[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 26 )[/C][C]552714.575[/C][C]4088.44859823811[/C][C]135.189317345995[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 26 )[/C][C]551085.575[/C][C]3793.18373782712[/C][C]145.283121801973[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 26 )[/C][C]551068.9375[/C][C]3726.89389159696[/C][C]147.862792322179[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 26 )[/C][C]551078.2375[/C][C]3723.37204819158[/C][C]148.005149731856[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 26 )[/C][C]550975.8625[/C][C]3679.29650311446[/C][C]149.750329182116[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 26 )[/C][C]550879.6125[/C][C]3660.6387343619[/C][C]150.487292648950[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 26 )[/C][C]551063.925[/C][C]3628.12685498704[/C][C]151.886620017857[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 26 )[/C][C]550795.325[/C][C]3520.51032035862[/C][C]156.453262419038[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 26 )[/C][C]551056.0625[/C][C]3437.41922986092[/C][C]160.310984971797[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 26 )[/C][C]551323.8125[/C][C]3358.22891387772[/C][C]164.171004013955[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 26 )[/C][C]551074.9125[/C][C]3276.7328546426[/C][C]168.178163111227[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 26 )[/C][C]550294.4125[/C][C]3163.19787820415[/C][C]173.967748363697[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 26 )[/C][C]549102.1375[/C][C]2998.28745390565[/C][C]183.138590259158[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 26 )[/C][C]549336.1625[/C][C]2960.54221195173[/C][C]185.552551921850[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 26 )[/C][C]549025.0875[/C][C]2872.08950709587[/C][C]191.158766516003[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 26 )[/C][C]548062.6875[/C][C]2706.64025718851[/C][C]202.488190310630[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 26 )[/C][C]548908.3125[/C][C]2505.85080599320[/C][C]219.050675797293[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 26 )[/C][C]549577.4875[/C][C]2406.12564370383[/C][C]228.407643191075[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 26 )[/C][C]551861.974358974[/C][C]4508.938065389[/C][C]122.392893039520[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 26 )[/C][C]551942.697368421[/C][C]4382.28433498313[/C][C]125.948627514272[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 26 )[/C][C]551949.405405405[/C][C]4269.67485441554[/C][C]129.271999443845[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 26 )[/C][C]551851.083333333[/C][C]4194.49141026961[/C][C]131.565672534745[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 26 )[/C][C]551724.857142857[/C][C]4115.24609058069[/C][C]134.068496755441[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 26 )[/C][C]551507.514705882[/C][C]4040.39697746526[/C][C]136.498348499377[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 26 )[/C][C]551349.106060606[/C][C]3983.49780445553[/C][C]138.408286668044[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 26 )[/C][C]551172.78125[/C][C]3919.18322157059[/C][C]140.634604224785[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 26 )[/C][C]550928.387096774[/C][C]3857.75455106788[/C][C]142.810637588197[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 26 )[/C][C]550663.766666667[/C][C]3786.9875177414[/C][C]145.409448562188[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 26 )[/C][C]550605.586206897[/C][C]3760.44355586717[/C][C]146.420383134809[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 26 )[/C][C]550545.410714286[/C][C]3737.22401281124[/C][C]147.313997990757[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 26 )[/C][C]550479.62962963[/C][C]3705.583976767[/C][C]148.554082995012[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 26 )[/C][C]550420.903846154[/C][C]3671.01450948555[/C][C]149.937000364319[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 26 )[/C][C]550368.48[/C][C]3627.64170904122[/C][C]151.715225521944[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 26 )[/C][C]550291.208333333[/C][C]3575.54601803567[/C][C]153.904104592018[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 26 )[/C][C]550236.413043478[/C][C]3526.81109887199[/C][C]156.01527771631[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 26 )[/C][C]550148.75[/C][C]3476.42486691599[/C][C]158.251298693548[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 26 )[/C][C]550024.404761905[/C][C]3422.41310345609[/C][C]160.712452919979[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 26 )[/C][C]549913.825[/C][C]3364.08247995008[/C][C]163.466213529985[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 26 )[/C][C]549873.763157895[/C][C]3306.83692738915[/C][C]166.283906715665[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 26 )[/C][C]549955.416666667[/C][C]3261.00057592003[/C][C]168.646218810160[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 26 )[/C][C]550021.647058823[/C][C]3199.90641515403[/C][C]171.886791580543[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 26 )[/C][C]550129.96875[/C][C]3129.85575954761[/C][C]175.768473378312[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 26 )[/C][C]550359.666666667[/C][C]3065.85719851493[/C][C]179.512492275653[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 26 )[/C][C]550525.535714286[/C][C]3023.22028519423[/C][C]182.099047962334[/C][/ROW]
[ROW][C]Median[/C][C]555060[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]542255[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]549107.317073171[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]549913.825[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]549107.317073171[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]549913.825[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]549913.825[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]549107.317073171[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]549913.825[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]550024.404761905[/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=40372&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40372&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 Mean551621.84660.87707181895118.351501552201
Geometric Mean550061.460962555
Harmonic Mean548497.698732117
Quadratic Mean553175.187862263
Winsorized Mean ( 1 / 26 )551785.28754617.38766526346119.501615957238
Winsorized Mean ( 2 / 26 )551930.28754560.37629065882121.027356586898
Winsorized Mean ( 3 / 26 )552214.8754431.09881418458124.622559359832
Winsorized Mean ( 4 / 26 )552292.8754402.37540624646125.453380058493
Winsorized Mean ( 5 / 26 )552648.56254335.97178994994127.456678519207
Winsorized Mean ( 6 / 26 )552291.63754211.99999843139131.123370775328
Winsorized Mean ( 7 / 26 )552336.5254190.59405349583131.803872660783
Winsorized Mean ( 8 / 26 )552688.0254112.58309069132134.389509661455
Winsorized Mean ( 9 / 26 )552714.5754088.44859823811135.189317345995
Winsorized Mean ( 10 / 26 )551085.5753793.18373782712145.283121801973
Winsorized Mean ( 11 / 26 )551068.93753726.89389159696147.862792322179
Winsorized Mean ( 12 / 26 )551078.23753723.37204819158148.005149731856
Winsorized Mean ( 13 / 26 )550975.86253679.29650311446149.750329182116
Winsorized Mean ( 14 / 26 )550879.61253660.6387343619150.487292648950
Winsorized Mean ( 15 / 26 )551063.9253628.12685498704151.886620017857
Winsorized Mean ( 16 / 26 )550795.3253520.51032035862156.453262419038
Winsorized Mean ( 17 / 26 )551056.06253437.41922986092160.310984971797
Winsorized Mean ( 18 / 26 )551323.81253358.22891387772164.171004013955
Winsorized Mean ( 19 / 26 )551074.91253276.7328546426168.178163111227
Winsorized Mean ( 20 / 26 )550294.41253163.19787820415173.967748363697
Winsorized Mean ( 21 / 26 )549102.13752998.28745390565183.138590259158
Winsorized Mean ( 22 / 26 )549336.16252960.54221195173185.552551921850
Winsorized Mean ( 23 / 26 )549025.08752872.08950709587191.158766516003
Winsorized Mean ( 24 / 26 )548062.68752706.64025718851202.488190310630
Winsorized Mean ( 25 / 26 )548908.31252505.85080599320219.050675797293
Winsorized Mean ( 26 / 26 )549577.48752406.12564370383228.407643191075
Trimmed Mean ( 1 / 26 )551861.9743589744508.938065389122.392893039520
Trimmed Mean ( 2 / 26 )551942.6973684214382.28433498313125.948627514272
Trimmed Mean ( 3 / 26 )551949.4054054054269.67485441554129.271999443845
Trimmed Mean ( 4 / 26 )551851.0833333334194.49141026961131.565672534745
Trimmed Mean ( 5 / 26 )551724.8571428574115.24609058069134.068496755441
Trimmed Mean ( 6 / 26 )551507.5147058824040.39697746526136.498348499377
Trimmed Mean ( 7 / 26 )551349.1060606063983.49780445553138.408286668044
Trimmed Mean ( 8 / 26 )551172.781253919.18322157059140.634604224785
Trimmed Mean ( 9 / 26 )550928.3870967743857.75455106788142.810637588197
Trimmed Mean ( 10 / 26 )550663.7666666673786.9875177414145.409448562188
Trimmed Mean ( 11 / 26 )550605.5862068973760.44355586717146.420383134809
Trimmed Mean ( 12 / 26 )550545.4107142863737.22401281124147.313997990757
Trimmed Mean ( 13 / 26 )550479.629629633705.583976767148.554082995012
Trimmed Mean ( 14 / 26 )550420.9038461543671.01450948555149.937000364319
Trimmed Mean ( 15 / 26 )550368.483627.64170904122151.715225521944
Trimmed Mean ( 16 / 26 )550291.2083333333575.54601803567153.904104592018
Trimmed Mean ( 17 / 26 )550236.4130434783526.81109887199156.01527771631
Trimmed Mean ( 18 / 26 )550148.753476.42486691599158.251298693548
Trimmed Mean ( 19 / 26 )550024.4047619053422.41310345609160.712452919979
Trimmed Mean ( 20 / 26 )549913.8253364.08247995008163.466213529985
Trimmed Mean ( 21 / 26 )549873.7631578953306.83692738915166.283906715665
Trimmed Mean ( 22 / 26 )549955.4166666673261.00057592003168.646218810160
Trimmed Mean ( 23 / 26 )550021.6470588233199.90641515403171.886791580543
Trimmed Mean ( 24 / 26 )550129.968753129.85575954761175.768473378312
Trimmed Mean ( 25 / 26 )550359.6666666673065.85719851493179.512492275653
Trimmed Mean ( 26 / 26 )550525.5357142863023.22028519423182.099047962334
Median555060
Midrange542255
Midmean - Weighted Average at Xnp549107.317073171
Midmean - Weighted Average at X(n+1)p549913.825
Midmean - Empirical Distribution Function549107.317073171
Midmean - Empirical Distribution Function - Averaging549913.825
Midmean - Empirical Distribution Function - Interpolation549913.825
Midmean - Closest Observation549107.317073171
Midmean - True Basic - Statistics Graphics Toolkit549913.825
Midmean - MS Excel (old versions)550024.404761905
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')