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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationMon, 20 Oct 2008 11:41:36 -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/2008/Oct/20/t1224524537p6kdolsifkegiqf.htm/, Retrieved Fri, 17 May 2024 03:24:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17769, Retrieved Fri, 17 May 2024 03:24:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Totaal niet werke...] [2008-10-13 17:04:19] [b635de6fc42b001d22cbe6e730fec936]
- RMP     [Central Tendency] [Totaal niet werke...] [2008-10-20 17:41:36] [f4b2017b314c03698059f43b95818e67] [Current]
- RMP       [Histogram] [Totaal niet werke...] [2008-10-21 07:22:34] [b635de6fc42b001d22cbe6e730fec936]
- RMPD      [Back to Back Histogram] [Back to back hist...] [2008-10-21 07:37:44] [b635de6fc42b001d22cbe6e730fec936]
- RMP         [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2008-11-10 11:45:00] [b635de6fc42b001d22cbe6e730fec936]
-               [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2008-11-10 12:02:20] [b635de6fc42b001d22cbe6e730fec936]
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Dataseries X:
577.992
565.464
547.344
554.788
562.325
560.854
555.332
543.599
536.662
542.722
593.530
610.763
612.613
611.324
594.167
595.454
590.865
589.379
584.428
573.100
567.456
569.028
620.735
628.884
628.232
612.117
595.404
597.141
593.408
590.072
579.799
574.205
572.775
572.942
619.567
625.809
619.916
587.625
565.742
557.274
560.576
548.854
531.673
525.919
511.038
498.662
555.362
564.591
541.657
527.070
509.846
514.258
516.922
507.561
492.622
490.243
469.357
477.580
528.379
533.590




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17769&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17769&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17769&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'Gwilym Jenkins' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean563.1099333333335.15420041527574109.252626588679
Geometric Mean561.68882708944
Harmonic Mean560.23816314564
Quadratic Mean564.499936361378
Winsorized Mean ( 1 / 20 )563.2361166666675.11125724951046110.195219917881
Winsorized Mean ( 2 / 20 )563.577454.98129796522143113.138674685755
Winsorized Mean ( 3 / 20 )563.44274.89987198006983114.991310444803
Winsorized Mean ( 4 / 20 )563.7907666666674.79332350633309117.620011651992
Winsorized Mean ( 5 / 20 )564.5032666666674.62458697076908122.065661265483
Winsorized Mean ( 6 / 20 )564.0363666666674.44239238620088126.966804737622
Winsorized Mean ( 7 / 20 )564.1175666666674.40309973546286128.118280429404
Winsorized Mean ( 8 / 20 )564.4411666666674.29718788161801131.351288846635
Winsorized Mean ( 9 / 20 )564.7566166666674.20350754244284134.353658454116
Winsorized Mean ( 10 / 20 )563.9857833333333.52705450502366159.902769444032
Winsorized Mean ( 11 / 20 )563.8875166666673.43991406306825163.924884845438
Winsorized Mean ( 12 / 20 )564.1393166666673.3912107944295166.353361930004
Winsorized Mean ( 13 / 20 )564.5853.22384908075428175.127614803825
Winsorized Mean ( 14 / 20 )564.8836666666673.12405946485093180.817194109851
Winsorized Mean ( 15 / 20 )565.6211666666672.99103099188966189.105752565045
Winsorized Mean ( 16 / 20 )566.2750333333332.67108317043311212.002022101586
Winsorized Mean ( 17 / 20 )566.35212.58919900181831218.736412149962
Winsorized Mean ( 18 / 20 )566.40732.51641394734785225.085105968738
Winsorized Mean ( 19 / 20 )567.0377833333332.25121438729542251.880845526474
Winsorized Mean ( 20 / 20 )566.475452.01333462062082281.361798579376
Trimmed Mean ( 1 / 20 )563.5923275862074.94719639880419113.921559233516
Trimmed Mean ( 2 / 20 )563.9739821428574.74440771565817118.871314596667
Trimmed Mean ( 3 / 20 )564.1942777777784.58122281473829123.15364272672
Trimmed Mean ( 4 / 20 )564.4833461538464.41710685061809127.794813493103
Trimmed Mean ( 5 / 20 )564.691124.25394614922691132.745244107668
Trimmed Mean ( 6 / 20 )564.7380833333334.10738086647672137.493478616158
Trimmed Mean ( 7 / 20 )564.8906304347833.97782525724272142.009915947475
Trimmed Mean ( 8 / 20 )565.0412272727273.82093725964444147.880268341624
Trimmed Mean ( 9 / 20 )565.1483809523813.64677772694251154.971984384199
Trimmed Mean ( 10 / 20 )565.2136753.44314714703537164.156119638007
Trimmed Mean ( 11 / 20 )565.4075526315793.36594052739994167.979067968956
Trimmed Mean ( 12 / 20 )565.6378611111113.27991588746021172.45498985924
Trimmed Mean ( 13 / 20 )565.8582352941183.17057997389615178.471522545689
Trimmed Mean ( 14 / 20 )566.0418753.0631617431039184.790070675938
Trimmed Mean ( 15 / 20 )566.2073333333332.9357788300036192.864437724908
Trimmed Mean ( 16 / 20 )566.2910714285712.7901362442927202.961798939724
Trimmed Mean ( 17 / 20 )566.2933846153852.6817442022666211.166070252620
Trimmed Mean ( 18 / 20 )566.284752.53726011449101223.187503230665
Trimmed Mean ( 19 / 20 )566.2661818181822.32881862795045243.155982617909
Trimmed Mean ( 20 / 20 )566.144352.10954229667181268.373073577713
Median565.603
Midrange549.1205
Midmean - Weighted Average at Xnp565.155161290323
Midmean - Weighted Average at X(n+1)p566.207333333334
Midmean - Empirical Distribution Function565.155161290323
Midmean - Empirical Distribution Function - Averaging566.207333333334
Midmean - Empirical Distribution Function - Interpolation566.207333333334
Midmean - Closest Observation565.155161290323
Midmean - True Basic - Statistics Graphics Toolkit566.207333333334
Midmean - MS Excel (old versions)566.041875
Number of observations60

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 563.109933333333 & 5.15420041527574 & 109.252626588679 \tabularnewline
Geometric Mean & 561.68882708944 &  &  \tabularnewline
Harmonic Mean & 560.23816314564 &  &  \tabularnewline
Quadratic Mean & 564.499936361378 &  &  \tabularnewline
Winsorized Mean ( 1 / 20 ) & 563.236116666667 & 5.11125724951046 & 110.195219917881 \tabularnewline
Winsorized Mean ( 2 / 20 ) & 563.57745 & 4.98129796522143 & 113.138674685755 \tabularnewline
Winsorized Mean ( 3 / 20 ) & 563.4427 & 4.89987198006983 & 114.991310444803 \tabularnewline
Winsorized Mean ( 4 / 20 ) & 563.790766666667 & 4.79332350633309 & 117.620011651992 \tabularnewline
Winsorized Mean ( 5 / 20 ) & 564.503266666667 & 4.62458697076908 & 122.065661265483 \tabularnewline
Winsorized Mean ( 6 / 20 ) & 564.036366666667 & 4.44239238620088 & 126.966804737622 \tabularnewline
Winsorized Mean ( 7 / 20 ) & 564.117566666667 & 4.40309973546286 & 128.118280429404 \tabularnewline
Winsorized Mean ( 8 / 20 ) & 564.441166666667 & 4.29718788161801 & 131.351288846635 \tabularnewline
Winsorized Mean ( 9 / 20 ) & 564.756616666667 & 4.20350754244284 & 134.353658454116 \tabularnewline
Winsorized Mean ( 10 / 20 ) & 563.985783333333 & 3.52705450502366 & 159.902769444032 \tabularnewline
Winsorized Mean ( 11 / 20 ) & 563.887516666667 & 3.43991406306825 & 163.924884845438 \tabularnewline
Winsorized Mean ( 12 / 20 ) & 564.139316666667 & 3.3912107944295 & 166.353361930004 \tabularnewline
Winsorized Mean ( 13 / 20 ) & 564.585 & 3.22384908075428 & 175.127614803825 \tabularnewline
Winsorized Mean ( 14 / 20 ) & 564.883666666667 & 3.12405946485093 & 180.817194109851 \tabularnewline
Winsorized Mean ( 15 / 20 ) & 565.621166666667 & 2.99103099188966 & 189.105752565045 \tabularnewline
Winsorized Mean ( 16 / 20 ) & 566.275033333333 & 2.67108317043311 & 212.002022101586 \tabularnewline
Winsorized Mean ( 17 / 20 ) & 566.3521 & 2.58919900181831 & 218.736412149962 \tabularnewline
Winsorized Mean ( 18 / 20 ) & 566.4073 & 2.51641394734785 & 225.085105968738 \tabularnewline
Winsorized Mean ( 19 / 20 ) & 567.037783333333 & 2.25121438729542 & 251.880845526474 \tabularnewline
Winsorized Mean ( 20 / 20 ) & 566.47545 & 2.01333462062082 & 281.361798579376 \tabularnewline
Trimmed Mean ( 1 / 20 ) & 563.592327586207 & 4.94719639880419 & 113.921559233516 \tabularnewline
Trimmed Mean ( 2 / 20 ) & 563.973982142857 & 4.74440771565817 & 118.871314596667 \tabularnewline
Trimmed Mean ( 3 / 20 ) & 564.194277777778 & 4.58122281473829 & 123.15364272672 \tabularnewline
Trimmed Mean ( 4 / 20 ) & 564.483346153846 & 4.41710685061809 & 127.794813493103 \tabularnewline
Trimmed Mean ( 5 / 20 ) & 564.69112 & 4.25394614922691 & 132.745244107668 \tabularnewline
Trimmed Mean ( 6 / 20 ) & 564.738083333333 & 4.10738086647672 & 137.493478616158 \tabularnewline
Trimmed Mean ( 7 / 20 ) & 564.890630434783 & 3.97782525724272 & 142.009915947475 \tabularnewline
Trimmed Mean ( 8 / 20 ) & 565.041227272727 & 3.82093725964444 & 147.880268341624 \tabularnewline
Trimmed Mean ( 9 / 20 ) & 565.148380952381 & 3.64677772694251 & 154.971984384199 \tabularnewline
Trimmed Mean ( 10 / 20 ) & 565.213675 & 3.44314714703537 & 164.156119638007 \tabularnewline
Trimmed Mean ( 11 / 20 ) & 565.407552631579 & 3.36594052739994 & 167.979067968956 \tabularnewline
Trimmed Mean ( 12 / 20 ) & 565.637861111111 & 3.27991588746021 & 172.45498985924 \tabularnewline
Trimmed Mean ( 13 / 20 ) & 565.858235294118 & 3.17057997389615 & 178.471522545689 \tabularnewline
Trimmed Mean ( 14 / 20 ) & 566.041875 & 3.0631617431039 & 184.790070675938 \tabularnewline
Trimmed Mean ( 15 / 20 ) & 566.207333333333 & 2.9357788300036 & 192.864437724908 \tabularnewline
Trimmed Mean ( 16 / 20 ) & 566.291071428571 & 2.7901362442927 & 202.961798939724 \tabularnewline
Trimmed Mean ( 17 / 20 ) & 566.293384615385 & 2.6817442022666 & 211.166070252620 \tabularnewline
Trimmed Mean ( 18 / 20 ) & 566.28475 & 2.53726011449101 & 223.187503230665 \tabularnewline
Trimmed Mean ( 19 / 20 ) & 566.266181818182 & 2.32881862795045 & 243.155982617909 \tabularnewline
Trimmed Mean ( 20 / 20 ) & 566.14435 & 2.10954229667181 & 268.373073577713 \tabularnewline
Median & 565.603 &  &  \tabularnewline
Midrange & 549.1205 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 565.155161290323 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 566.207333333334 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 565.155161290323 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 566.207333333334 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 566.207333333334 &  &  \tabularnewline
Midmean - Closest Observation & 565.155161290323 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 566.207333333334 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 566.041875 &  &  \tabularnewline
Number of observations & 60 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17769&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]563.109933333333[/C][C]5.15420041527574[/C][C]109.252626588679[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]561.68882708944[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]560.23816314564[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]564.499936361378[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 20 )[/C][C]563.236116666667[/C][C]5.11125724951046[/C][C]110.195219917881[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 20 )[/C][C]563.57745[/C][C]4.98129796522143[/C][C]113.138674685755[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 20 )[/C][C]563.4427[/C][C]4.89987198006983[/C][C]114.991310444803[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 20 )[/C][C]563.790766666667[/C][C]4.79332350633309[/C][C]117.620011651992[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 20 )[/C][C]564.503266666667[/C][C]4.62458697076908[/C][C]122.065661265483[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 20 )[/C][C]564.036366666667[/C][C]4.44239238620088[/C][C]126.966804737622[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 20 )[/C][C]564.117566666667[/C][C]4.40309973546286[/C][C]128.118280429404[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 20 )[/C][C]564.441166666667[/C][C]4.29718788161801[/C][C]131.351288846635[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 20 )[/C][C]564.756616666667[/C][C]4.20350754244284[/C][C]134.353658454116[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 20 )[/C][C]563.985783333333[/C][C]3.52705450502366[/C][C]159.902769444032[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 20 )[/C][C]563.887516666667[/C][C]3.43991406306825[/C][C]163.924884845438[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 20 )[/C][C]564.139316666667[/C][C]3.3912107944295[/C][C]166.353361930004[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 20 )[/C][C]564.585[/C][C]3.22384908075428[/C][C]175.127614803825[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 20 )[/C][C]564.883666666667[/C][C]3.12405946485093[/C][C]180.817194109851[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 20 )[/C][C]565.621166666667[/C][C]2.99103099188966[/C][C]189.105752565045[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 20 )[/C][C]566.275033333333[/C][C]2.67108317043311[/C][C]212.002022101586[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 20 )[/C][C]566.3521[/C][C]2.58919900181831[/C][C]218.736412149962[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 20 )[/C][C]566.4073[/C][C]2.51641394734785[/C][C]225.085105968738[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 20 )[/C][C]567.037783333333[/C][C]2.25121438729542[/C][C]251.880845526474[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 20 )[/C][C]566.47545[/C][C]2.01333462062082[/C][C]281.361798579376[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 20 )[/C][C]563.592327586207[/C][C]4.94719639880419[/C][C]113.921559233516[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 20 )[/C][C]563.973982142857[/C][C]4.74440771565817[/C][C]118.871314596667[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 20 )[/C][C]564.194277777778[/C][C]4.58122281473829[/C][C]123.15364272672[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 20 )[/C][C]564.483346153846[/C][C]4.41710685061809[/C][C]127.794813493103[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 20 )[/C][C]564.69112[/C][C]4.25394614922691[/C][C]132.745244107668[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 20 )[/C][C]564.738083333333[/C][C]4.10738086647672[/C][C]137.493478616158[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 20 )[/C][C]564.890630434783[/C][C]3.97782525724272[/C][C]142.009915947475[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 20 )[/C][C]565.041227272727[/C][C]3.82093725964444[/C][C]147.880268341624[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 20 )[/C][C]565.148380952381[/C][C]3.64677772694251[/C][C]154.971984384199[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 20 )[/C][C]565.213675[/C][C]3.44314714703537[/C][C]164.156119638007[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 20 )[/C][C]565.407552631579[/C][C]3.36594052739994[/C][C]167.979067968956[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 20 )[/C][C]565.637861111111[/C][C]3.27991588746021[/C][C]172.45498985924[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 20 )[/C][C]565.858235294118[/C][C]3.17057997389615[/C][C]178.471522545689[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 20 )[/C][C]566.041875[/C][C]3.0631617431039[/C][C]184.790070675938[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 20 )[/C][C]566.207333333333[/C][C]2.9357788300036[/C][C]192.864437724908[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 20 )[/C][C]566.291071428571[/C][C]2.7901362442927[/C][C]202.961798939724[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 20 )[/C][C]566.293384615385[/C][C]2.6817442022666[/C][C]211.166070252620[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 20 )[/C][C]566.28475[/C][C]2.53726011449101[/C][C]223.187503230665[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 20 )[/C][C]566.266181818182[/C][C]2.32881862795045[/C][C]243.155982617909[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 20 )[/C][C]566.14435[/C][C]2.10954229667181[/C][C]268.373073577713[/C][/ROW]
[ROW][C]Median[/C][C]565.603[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]549.1205[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]565.155161290323[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]566.207333333334[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]565.155161290323[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]566.207333333334[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]566.207333333334[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]565.155161290323[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]566.207333333334[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]566.041875[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17769&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17769&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 Mean563.1099333333335.15420041527574109.252626588679
Geometric Mean561.68882708944
Harmonic Mean560.23816314564
Quadratic Mean564.499936361378
Winsorized Mean ( 1 / 20 )563.2361166666675.11125724951046110.195219917881
Winsorized Mean ( 2 / 20 )563.577454.98129796522143113.138674685755
Winsorized Mean ( 3 / 20 )563.44274.89987198006983114.991310444803
Winsorized Mean ( 4 / 20 )563.7907666666674.79332350633309117.620011651992
Winsorized Mean ( 5 / 20 )564.5032666666674.62458697076908122.065661265483
Winsorized Mean ( 6 / 20 )564.0363666666674.44239238620088126.966804737622
Winsorized Mean ( 7 / 20 )564.1175666666674.40309973546286128.118280429404
Winsorized Mean ( 8 / 20 )564.4411666666674.29718788161801131.351288846635
Winsorized Mean ( 9 / 20 )564.7566166666674.20350754244284134.353658454116
Winsorized Mean ( 10 / 20 )563.9857833333333.52705450502366159.902769444032
Winsorized Mean ( 11 / 20 )563.8875166666673.43991406306825163.924884845438
Winsorized Mean ( 12 / 20 )564.1393166666673.3912107944295166.353361930004
Winsorized Mean ( 13 / 20 )564.5853.22384908075428175.127614803825
Winsorized Mean ( 14 / 20 )564.8836666666673.12405946485093180.817194109851
Winsorized Mean ( 15 / 20 )565.6211666666672.99103099188966189.105752565045
Winsorized Mean ( 16 / 20 )566.2750333333332.67108317043311212.002022101586
Winsorized Mean ( 17 / 20 )566.35212.58919900181831218.736412149962
Winsorized Mean ( 18 / 20 )566.40732.51641394734785225.085105968738
Winsorized Mean ( 19 / 20 )567.0377833333332.25121438729542251.880845526474
Winsorized Mean ( 20 / 20 )566.475452.01333462062082281.361798579376
Trimmed Mean ( 1 / 20 )563.5923275862074.94719639880419113.921559233516
Trimmed Mean ( 2 / 20 )563.9739821428574.74440771565817118.871314596667
Trimmed Mean ( 3 / 20 )564.1942777777784.58122281473829123.15364272672
Trimmed Mean ( 4 / 20 )564.4833461538464.41710685061809127.794813493103
Trimmed Mean ( 5 / 20 )564.691124.25394614922691132.745244107668
Trimmed Mean ( 6 / 20 )564.7380833333334.10738086647672137.493478616158
Trimmed Mean ( 7 / 20 )564.8906304347833.97782525724272142.009915947475
Trimmed Mean ( 8 / 20 )565.0412272727273.82093725964444147.880268341624
Trimmed Mean ( 9 / 20 )565.1483809523813.64677772694251154.971984384199
Trimmed Mean ( 10 / 20 )565.2136753.44314714703537164.156119638007
Trimmed Mean ( 11 / 20 )565.4075526315793.36594052739994167.979067968956
Trimmed Mean ( 12 / 20 )565.6378611111113.27991588746021172.45498985924
Trimmed Mean ( 13 / 20 )565.8582352941183.17057997389615178.471522545689
Trimmed Mean ( 14 / 20 )566.0418753.0631617431039184.790070675938
Trimmed Mean ( 15 / 20 )566.2073333333332.9357788300036192.864437724908
Trimmed Mean ( 16 / 20 )566.2910714285712.7901362442927202.961798939724
Trimmed Mean ( 17 / 20 )566.2933846153852.6817442022666211.166070252620
Trimmed Mean ( 18 / 20 )566.284752.53726011449101223.187503230665
Trimmed Mean ( 19 / 20 )566.2661818181822.32881862795045243.155982617909
Trimmed Mean ( 20 / 20 )566.144352.10954229667181268.373073577713
Median565.603
Midrange549.1205
Midmean - Weighted Average at Xnp565.155161290323
Midmean - Weighted Average at X(n+1)p566.207333333334
Midmean - Empirical Distribution Function565.155161290323
Midmean - Empirical Distribution Function - Averaging566.207333333334
Midmean - Empirical Distribution Function - Interpolation566.207333333334
Midmean - Closest Observation565.155161290323
Midmean - True Basic - Statistics Graphics Toolkit566.207333333334
Midmean - MS Excel (old versions)566.041875
Number of observations60



Parameters (Session):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = Female ; par5 = Male ;
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')