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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 computationSun, 07 Dec 2008 11:00:53 -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/2008/Dec/07/t12286729214plnfnvm3q6xtmv.htm/, Retrieved Wed, 22 May 2024 10:46:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30200, Retrieved Wed, 22 May 2024 10:46:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Uitvoer per gewes...] [2008-12-07 13:12:38] [299afd6311e4c20059ea2f05c8dd029d]
- RMPD    [Central Tendency] [Uitvoer per gewes...] [2008-12-07 18:00:53] [5e2b1e7aa808f9f0d23fd35605d4968f] [Current]
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Dataseries X:
691.2
646.6
680.2
668.9
611.4
640.8
549.8
541.8
628.6
686.5
611.8
588.4
566.9
563.7
569.9
635.4
590.8
634.3
576.1
351.6
507.5
586.2
666.4
693.6
650.6
654.8
733.5
648.1
678.1
816.2
591
563.5
742.5
694.4
728.6
749
538.9
568.5
692.8
580.5
506.9
612.8
442.9
523.3
596.7
533.7
523.1
559.2
430.7
538.2
612.4
428
522.4
531.1
425.9
410.3
551
555.6
460.2
288.9
392.3
400.5
399
354.9
337.6
379.2
334.1
321.6
449.8
485.5
428.3
404.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30200&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]1 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=30200&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30200&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean553.61388888888913.976314401970839.6108639922141
Geometric Mean539.955027454091
Harmonic Mean525.120683939045
Quadratic Mean566.001140310983
Winsorized Mean ( 1 / 24 )553.13472222222213.643181923142440.5429411803094
Winsorized Mean ( 2 / 24 )553.30138888888913.526007449202040.9064826384917
Winsorized Mean ( 3 / 24 )553.07222222222213.420425103032241.2112297469074
Winsorized Mean ( 4 / 24 )553.57777777777813.197422808565241.9459000297015
Winsorized Mean ( 5 / 24 )551.43194444444412.737688189629743.2913678082801
Winsorized Mean ( 6 / 24 )553.39027777777812.304852306966344.9733376697648
Winsorized Mean ( 7 / 24 )554.58611111111112.044443212807946.0449770331741
Winsorized Mean ( 8 / 24 )555.15277777777811.876153098157946.7451685061123
Winsorized Mean ( 9 / 24 )554.75277777777811.747654008171447.2224307416532
Winsorized Mean ( 10 / 24 )554.46111111111111.503754329604048.198274687095
Winsorized Mean ( 11 / 24 )554.99583333333311.298834789298149.119740546964
Winsorized Mean ( 12 / 24 )556.062510.606742149215952.425381156372
Winsorized Mean ( 13 / 24 )555.99027777777810.474016990810953.0828122835355
Winsorized Mean ( 14 / 24 )553.79305555555510.138067086498754.6251125417257
Winsorized Mean ( 15 / 24 )553.4180555555559.929248208099555.736148795648
Winsorized Mean ( 16 / 24 )555.5736111111119.387076362384559.1849463734398
Winsorized Mean ( 17 / 24 )556.8486111111119.0645576274110361.4314160712281
Winsorized Mean ( 18 / 24 )557.9986111111118.434500117158866.1566901843941
Winsorized Mean ( 19 / 24 )563.257.177978571250278.469167107293
Winsorized Mean ( 20 / 24 )568.8888888888896.2635285681041590.8256237204456
Winsorized Mean ( 21 / 24 )567.4013888888895.9972266324631394.6106298230472
Winsorized Mean ( 22 / 24 )567.1263888888894.68941762780953120.937488170316
Winsorized Mean ( 23 / 24 )567.2222222222224.64190792278603122.195922809641
Winsorized Mean ( 24 / 24 )567.0888888888894.6056004366068123.130283813047
Trimmed Mean ( 1 / 24 )553.64428571428613.340109298274741.5022301043584
Trimmed Mean ( 2 / 24 )554.18382352941212.979279023831242.6975814690383
Trimmed Mean ( 3 / 24 )554.66515151515112.623250367798843.9399627951667
Trimmed Mean ( 4 / 24 )555.262512.24414998394645.3492076402229
Trimmed Mean ( 5 / 24 )555.75161290322611.870702092767246.8170802838903
Trimmed Mean ( 6 / 24 )556.78833333333311.562967893520748.1527180963053
Trimmed Mean ( 7 / 24 )557.49137931034511.311758837086449.2842348691675
Trimmed Mean ( 8 / 24 )558.02511.069579307225850.4106781759758
Trimmed Mean ( 9 / 24 )558.50370370370410.808877399095251.6708334346038
Trimmed Mean ( 10 / 24 )559.08076923076910.511201393728953.189045503811
Trimmed Mean ( 11 / 24 )559.74610.191668149693154.9219216892236
Trimmed Mean ( 12 / 24 )560.393759.8328185672976656.9921784038381
Trimmed Mean ( 13 / 24 )560.9586956521749.5361749976277858.8242870744002
Trimmed Mean ( 14 / 24 )561.5840909090919.1796113027730161.1773279266678
Trimmed Mean ( 15 / 24 )562.5380952380958.7863331950750464.0242161034153
Trimmed Mean ( 16 / 24 )563.63258.3110101421748667.8175685455856
Trimmed Mean ( 17 / 24 )564.5868421052637.8212608907445472.1861666542001
Trimmed Mean ( 18 / 24 )565.4972222222227.2416339098509678.0897279898344
Trimmed Mean ( 19 / 24 )566.3794117647066.6281092383179785.451128127218
Trimmed Mean ( 20 / 24 )566.756.1877382652072291.5924325996068
Trimmed Mean ( 21 / 24 )566.4933333333335.8560116146274396.7370576790386
Trimmed Mean ( 22 / 24 )566.3821428571435.45508367719232103.826481200496
Trimmed Mean ( 23 / 24 )566.2884615384625.32161434998261106.412908620541
Trimmed Mean ( 24 / 24 )566.1666666666675.11034992231475110.788238628133
Median565.3
Midrange552.55
Midmean - Weighted Average at Xnp562.37027027027
Midmean - Weighted Average at X(n+1)p565.497222222222
Midmean - Empirical Distribution Function562.37027027027
Midmean - Empirical Distribution Function - Averaging565.497222222222
Midmean - Empirical Distribution Function - Interpolation565.497222222222
Midmean - Closest Observation562.37027027027
Midmean - True Basic - Statistics Graphics Toolkit565.497222222222
Midmean - MS Excel (old versions)564.586842105263
Number of observations72

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 553.613888888889 & 13.9763144019708 & 39.6108639922141 \tabularnewline
Geometric Mean & 539.955027454091 &  &  \tabularnewline
Harmonic Mean & 525.120683939045 &  &  \tabularnewline
Quadratic Mean & 566.001140310983 &  &  \tabularnewline
Winsorized Mean ( 1 / 24 ) & 553.134722222222 & 13.6431819231424 & 40.5429411803094 \tabularnewline
Winsorized Mean ( 2 / 24 ) & 553.301388888889 & 13.5260074492020 & 40.9064826384917 \tabularnewline
Winsorized Mean ( 3 / 24 ) & 553.072222222222 & 13.4204251030322 & 41.2112297469074 \tabularnewline
Winsorized Mean ( 4 / 24 ) & 553.577777777778 & 13.1974228085652 & 41.9459000297015 \tabularnewline
Winsorized Mean ( 5 / 24 ) & 551.431944444444 & 12.7376881896297 & 43.2913678082801 \tabularnewline
Winsorized Mean ( 6 / 24 ) & 553.390277777778 & 12.3048523069663 & 44.9733376697648 \tabularnewline
Winsorized Mean ( 7 / 24 ) & 554.586111111111 & 12.0444432128079 & 46.0449770331741 \tabularnewline
Winsorized Mean ( 8 / 24 ) & 555.152777777778 & 11.8761530981579 & 46.7451685061123 \tabularnewline
Winsorized Mean ( 9 / 24 ) & 554.752777777778 & 11.7476540081714 & 47.2224307416532 \tabularnewline
Winsorized Mean ( 10 / 24 ) & 554.461111111111 & 11.5037543296040 & 48.198274687095 \tabularnewline
Winsorized Mean ( 11 / 24 ) & 554.995833333333 & 11.2988347892981 & 49.119740546964 \tabularnewline
Winsorized Mean ( 12 / 24 ) & 556.0625 & 10.6067421492159 & 52.425381156372 \tabularnewline
Winsorized Mean ( 13 / 24 ) & 555.990277777778 & 10.4740169908109 & 53.0828122835355 \tabularnewline
Winsorized Mean ( 14 / 24 ) & 553.793055555555 & 10.1380670864987 & 54.6251125417257 \tabularnewline
Winsorized Mean ( 15 / 24 ) & 553.418055555555 & 9.9292482080995 & 55.736148795648 \tabularnewline
Winsorized Mean ( 16 / 24 ) & 555.573611111111 & 9.3870763623845 & 59.1849463734398 \tabularnewline
Winsorized Mean ( 17 / 24 ) & 556.848611111111 & 9.06455762741103 & 61.4314160712281 \tabularnewline
Winsorized Mean ( 18 / 24 ) & 557.998611111111 & 8.4345001171588 & 66.1566901843941 \tabularnewline
Winsorized Mean ( 19 / 24 ) & 563.25 & 7.1779785712502 & 78.469167107293 \tabularnewline
Winsorized Mean ( 20 / 24 ) & 568.888888888889 & 6.26352856810415 & 90.8256237204456 \tabularnewline
Winsorized Mean ( 21 / 24 ) & 567.401388888889 & 5.99722663246313 & 94.6106298230472 \tabularnewline
Winsorized Mean ( 22 / 24 ) & 567.126388888889 & 4.68941762780953 & 120.937488170316 \tabularnewline
Winsorized Mean ( 23 / 24 ) & 567.222222222222 & 4.64190792278603 & 122.195922809641 \tabularnewline
Winsorized Mean ( 24 / 24 ) & 567.088888888889 & 4.6056004366068 & 123.130283813047 \tabularnewline
Trimmed Mean ( 1 / 24 ) & 553.644285714286 & 13.3401092982747 & 41.5022301043584 \tabularnewline
Trimmed Mean ( 2 / 24 ) & 554.183823529412 & 12.9792790238312 & 42.6975814690383 \tabularnewline
Trimmed Mean ( 3 / 24 ) & 554.665151515151 & 12.6232503677988 & 43.9399627951667 \tabularnewline
Trimmed Mean ( 4 / 24 ) & 555.2625 & 12.244149983946 & 45.3492076402229 \tabularnewline
Trimmed Mean ( 5 / 24 ) & 555.751612903226 & 11.8707020927672 & 46.8170802838903 \tabularnewline
Trimmed Mean ( 6 / 24 ) & 556.788333333333 & 11.5629678935207 & 48.1527180963053 \tabularnewline
Trimmed Mean ( 7 / 24 ) & 557.491379310345 & 11.3117588370864 & 49.2842348691675 \tabularnewline
Trimmed Mean ( 8 / 24 ) & 558.025 & 11.0695793072258 & 50.4106781759758 \tabularnewline
Trimmed Mean ( 9 / 24 ) & 558.503703703704 & 10.8088773990952 & 51.6708334346038 \tabularnewline
Trimmed Mean ( 10 / 24 ) & 559.080769230769 & 10.5112013937289 & 53.189045503811 \tabularnewline
Trimmed Mean ( 11 / 24 ) & 559.746 & 10.1916681496931 & 54.9219216892236 \tabularnewline
Trimmed Mean ( 12 / 24 ) & 560.39375 & 9.83281856729766 & 56.9921784038381 \tabularnewline
Trimmed Mean ( 13 / 24 ) & 560.958695652174 & 9.53617499762778 & 58.8242870744002 \tabularnewline
Trimmed Mean ( 14 / 24 ) & 561.584090909091 & 9.17961130277301 & 61.1773279266678 \tabularnewline
Trimmed Mean ( 15 / 24 ) & 562.538095238095 & 8.78633319507504 & 64.0242161034153 \tabularnewline
Trimmed Mean ( 16 / 24 ) & 563.6325 & 8.31101014217486 & 67.8175685455856 \tabularnewline
Trimmed Mean ( 17 / 24 ) & 564.586842105263 & 7.82126089074454 & 72.1861666542001 \tabularnewline
Trimmed Mean ( 18 / 24 ) & 565.497222222222 & 7.24163390985096 & 78.0897279898344 \tabularnewline
Trimmed Mean ( 19 / 24 ) & 566.379411764706 & 6.62810923831797 & 85.451128127218 \tabularnewline
Trimmed Mean ( 20 / 24 ) & 566.75 & 6.18773826520722 & 91.5924325996068 \tabularnewline
Trimmed Mean ( 21 / 24 ) & 566.493333333333 & 5.85601161462743 & 96.7370576790386 \tabularnewline
Trimmed Mean ( 22 / 24 ) & 566.382142857143 & 5.45508367719232 & 103.826481200496 \tabularnewline
Trimmed Mean ( 23 / 24 ) & 566.288461538462 & 5.32161434998261 & 106.412908620541 \tabularnewline
Trimmed Mean ( 24 / 24 ) & 566.166666666667 & 5.11034992231475 & 110.788238628133 \tabularnewline
Median & 565.3 &  &  \tabularnewline
Midrange & 552.55 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 562.37027027027 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 565.497222222222 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 562.37027027027 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 565.497222222222 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 565.497222222222 &  &  \tabularnewline
Midmean - Closest Observation & 562.37027027027 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 565.497222222222 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 564.586842105263 &  &  \tabularnewline
Number of observations & 72 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30200&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]553.613888888889[/C][C]13.9763144019708[/C][C]39.6108639922141[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]539.955027454091[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]525.120683939045[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]566.001140310983[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 24 )[/C][C]553.134722222222[/C][C]13.6431819231424[/C][C]40.5429411803094[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 24 )[/C][C]553.301388888889[/C][C]13.5260074492020[/C][C]40.9064826384917[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 24 )[/C][C]553.072222222222[/C][C]13.4204251030322[/C][C]41.2112297469074[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 24 )[/C][C]553.577777777778[/C][C]13.1974228085652[/C][C]41.9459000297015[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 24 )[/C][C]551.431944444444[/C][C]12.7376881896297[/C][C]43.2913678082801[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 24 )[/C][C]553.390277777778[/C][C]12.3048523069663[/C][C]44.9733376697648[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 24 )[/C][C]554.586111111111[/C][C]12.0444432128079[/C][C]46.0449770331741[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 24 )[/C][C]555.152777777778[/C][C]11.8761530981579[/C][C]46.7451685061123[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 24 )[/C][C]554.752777777778[/C][C]11.7476540081714[/C][C]47.2224307416532[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 24 )[/C][C]554.461111111111[/C][C]11.5037543296040[/C][C]48.198274687095[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 24 )[/C][C]554.995833333333[/C][C]11.2988347892981[/C][C]49.119740546964[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 24 )[/C][C]556.0625[/C][C]10.6067421492159[/C][C]52.425381156372[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 24 )[/C][C]555.990277777778[/C][C]10.4740169908109[/C][C]53.0828122835355[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 24 )[/C][C]553.793055555555[/C][C]10.1380670864987[/C][C]54.6251125417257[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 24 )[/C][C]553.418055555555[/C][C]9.9292482080995[/C][C]55.736148795648[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 24 )[/C][C]555.573611111111[/C][C]9.3870763623845[/C][C]59.1849463734398[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 24 )[/C][C]556.848611111111[/C][C]9.06455762741103[/C][C]61.4314160712281[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 24 )[/C][C]557.998611111111[/C][C]8.4345001171588[/C][C]66.1566901843941[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 24 )[/C][C]563.25[/C][C]7.1779785712502[/C][C]78.469167107293[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 24 )[/C][C]568.888888888889[/C][C]6.26352856810415[/C][C]90.8256237204456[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 24 )[/C][C]567.401388888889[/C][C]5.99722663246313[/C][C]94.6106298230472[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 24 )[/C][C]567.126388888889[/C][C]4.68941762780953[/C][C]120.937488170316[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 24 )[/C][C]567.222222222222[/C][C]4.64190792278603[/C][C]122.195922809641[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 24 )[/C][C]567.088888888889[/C][C]4.6056004366068[/C][C]123.130283813047[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 24 )[/C][C]553.644285714286[/C][C]13.3401092982747[/C][C]41.5022301043584[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 24 )[/C][C]554.183823529412[/C][C]12.9792790238312[/C][C]42.6975814690383[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 24 )[/C][C]554.665151515151[/C][C]12.6232503677988[/C][C]43.9399627951667[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 24 )[/C][C]555.2625[/C][C]12.244149983946[/C][C]45.3492076402229[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 24 )[/C][C]555.751612903226[/C][C]11.8707020927672[/C][C]46.8170802838903[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 24 )[/C][C]556.788333333333[/C][C]11.5629678935207[/C][C]48.1527180963053[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 24 )[/C][C]557.491379310345[/C][C]11.3117588370864[/C][C]49.2842348691675[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 24 )[/C][C]558.025[/C][C]11.0695793072258[/C][C]50.4106781759758[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 24 )[/C][C]558.503703703704[/C][C]10.8088773990952[/C][C]51.6708334346038[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 24 )[/C][C]559.080769230769[/C][C]10.5112013937289[/C][C]53.189045503811[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 24 )[/C][C]559.746[/C][C]10.1916681496931[/C][C]54.9219216892236[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 24 )[/C][C]560.39375[/C][C]9.83281856729766[/C][C]56.9921784038381[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 24 )[/C][C]560.958695652174[/C][C]9.53617499762778[/C][C]58.8242870744002[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 24 )[/C][C]561.584090909091[/C][C]9.17961130277301[/C][C]61.1773279266678[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 24 )[/C][C]562.538095238095[/C][C]8.78633319507504[/C][C]64.0242161034153[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 24 )[/C][C]563.6325[/C][C]8.31101014217486[/C][C]67.8175685455856[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 24 )[/C][C]564.586842105263[/C][C]7.82126089074454[/C][C]72.1861666542001[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 24 )[/C][C]565.497222222222[/C][C]7.24163390985096[/C][C]78.0897279898344[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 24 )[/C][C]566.379411764706[/C][C]6.62810923831797[/C][C]85.451128127218[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 24 )[/C][C]566.75[/C][C]6.18773826520722[/C][C]91.5924325996068[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 24 )[/C][C]566.493333333333[/C][C]5.85601161462743[/C][C]96.7370576790386[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 24 )[/C][C]566.382142857143[/C][C]5.45508367719232[/C][C]103.826481200496[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 24 )[/C][C]566.288461538462[/C][C]5.32161434998261[/C][C]106.412908620541[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 24 )[/C][C]566.166666666667[/C][C]5.11034992231475[/C][C]110.788238628133[/C][/ROW]
[ROW][C]Median[/C][C]565.3[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]552.55[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]562.37027027027[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]565.497222222222[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]562.37027027027[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]565.497222222222[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]565.497222222222[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]562.37027027027[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]565.497222222222[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]564.586842105263[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30200&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30200&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 Mean553.61388888888913.976314401970839.6108639922141
Geometric Mean539.955027454091
Harmonic Mean525.120683939045
Quadratic Mean566.001140310983
Winsorized Mean ( 1 / 24 )553.13472222222213.643181923142440.5429411803094
Winsorized Mean ( 2 / 24 )553.30138888888913.526007449202040.9064826384917
Winsorized Mean ( 3 / 24 )553.07222222222213.420425103032241.2112297469074
Winsorized Mean ( 4 / 24 )553.57777777777813.197422808565241.9459000297015
Winsorized Mean ( 5 / 24 )551.43194444444412.737688189629743.2913678082801
Winsorized Mean ( 6 / 24 )553.39027777777812.304852306966344.9733376697648
Winsorized Mean ( 7 / 24 )554.58611111111112.044443212807946.0449770331741
Winsorized Mean ( 8 / 24 )555.15277777777811.876153098157946.7451685061123
Winsorized Mean ( 9 / 24 )554.75277777777811.747654008171447.2224307416532
Winsorized Mean ( 10 / 24 )554.46111111111111.503754329604048.198274687095
Winsorized Mean ( 11 / 24 )554.99583333333311.298834789298149.119740546964
Winsorized Mean ( 12 / 24 )556.062510.606742149215952.425381156372
Winsorized Mean ( 13 / 24 )555.99027777777810.474016990810953.0828122835355
Winsorized Mean ( 14 / 24 )553.79305555555510.138067086498754.6251125417257
Winsorized Mean ( 15 / 24 )553.4180555555559.929248208099555.736148795648
Winsorized Mean ( 16 / 24 )555.5736111111119.387076362384559.1849463734398
Winsorized Mean ( 17 / 24 )556.8486111111119.0645576274110361.4314160712281
Winsorized Mean ( 18 / 24 )557.9986111111118.434500117158866.1566901843941
Winsorized Mean ( 19 / 24 )563.257.177978571250278.469167107293
Winsorized Mean ( 20 / 24 )568.8888888888896.2635285681041590.8256237204456
Winsorized Mean ( 21 / 24 )567.4013888888895.9972266324631394.6106298230472
Winsorized Mean ( 22 / 24 )567.1263888888894.68941762780953120.937488170316
Winsorized Mean ( 23 / 24 )567.2222222222224.64190792278603122.195922809641
Winsorized Mean ( 24 / 24 )567.0888888888894.6056004366068123.130283813047
Trimmed Mean ( 1 / 24 )553.64428571428613.340109298274741.5022301043584
Trimmed Mean ( 2 / 24 )554.18382352941212.979279023831242.6975814690383
Trimmed Mean ( 3 / 24 )554.66515151515112.623250367798843.9399627951667
Trimmed Mean ( 4 / 24 )555.262512.24414998394645.3492076402229
Trimmed Mean ( 5 / 24 )555.75161290322611.870702092767246.8170802838903
Trimmed Mean ( 6 / 24 )556.78833333333311.562967893520748.1527180963053
Trimmed Mean ( 7 / 24 )557.49137931034511.311758837086449.2842348691675
Trimmed Mean ( 8 / 24 )558.02511.069579307225850.4106781759758
Trimmed Mean ( 9 / 24 )558.50370370370410.808877399095251.6708334346038
Trimmed Mean ( 10 / 24 )559.08076923076910.511201393728953.189045503811
Trimmed Mean ( 11 / 24 )559.74610.191668149693154.9219216892236
Trimmed Mean ( 12 / 24 )560.393759.8328185672976656.9921784038381
Trimmed Mean ( 13 / 24 )560.9586956521749.5361749976277858.8242870744002
Trimmed Mean ( 14 / 24 )561.5840909090919.1796113027730161.1773279266678
Trimmed Mean ( 15 / 24 )562.5380952380958.7863331950750464.0242161034153
Trimmed Mean ( 16 / 24 )563.63258.3110101421748667.8175685455856
Trimmed Mean ( 17 / 24 )564.5868421052637.8212608907445472.1861666542001
Trimmed Mean ( 18 / 24 )565.4972222222227.2416339098509678.0897279898344
Trimmed Mean ( 19 / 24 )566.3794117647066.6281092383179785.451128127218
Trimmed Mean ( 20 / 24 )566.756.1877382652072291.5924325996068
Trimmed Mean ( 21 / 24 )566.4933333333335.8560116146274396.7370576790386
Trimmed Mean ( 22 / 24 )566.3821428571435.45508367719232103.826481200496
Trimmed Mean ( 23 / 24 )566.2884615384625.32161434998261106.412908620541
Trimmed Mean ( 24 / 24 )566.1666666666675.11034992231475110.788238628133
Median565.3
Midrange552.55
Midmean - Weighted Average at Xnp562.37027027027
Midmean - Weighted Average at X(n+1)p565.497222222222
Midmean - Empirical Distribution Function562.37027027027
Midmean - Empirical Distribution Function - Averaging565.497222222222
Midmean - Empirical Distribution Function - Interpolation565.497222222222
Midmean - Closest Observation562.37027027027
Midmean - True Basic - Statistics Graphics Toolkit565.497222222222
Midmean - MS Excel (old versions)564.586842105263
Number of observations72



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')