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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 computationWed, 08 Oct 2014 14:31:22 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/08/t1412775104eme6q1cvhh57hfb.htm/, Retrieved Sun, 12 May 2024 06:30:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239634, Retrieved Sun, 12 May 2024 06:30:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact49
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2014-10-08 13:31:22] [e05db0df8788e4fa845cdc810f8bbe4c] [Current]
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Dataseries X:
564410
658506
574787
611567
565210
638288
524970
505151
605350
517957
510879
622942
459903
486911
545974
481494
492324
609265
573243
524622
540071
564556
465319
458048
492603
606596
776475
749810
832426
895273
643875
348031
301771
411429
350941
425245
447041
449723
514318
445044
532552
469484
442289
532681
524463
590857
487590
612157
598030
577042
755394
697253
476835
510995
527816
482667
531528
628748
472131
445430
551715
561949
769474
583410
480271
576444
550457
534892
541769
741041
482062
586176




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239634&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239634&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239634&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'Gertrude Mary Cox' @ cox.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean550665.97222222212686.797926163943.4046459498333
Geometric Mean540702.237102874
Harmonic Mean530892.83127231
Quadratic Mean560946.349233522
Winsorized Mean ( 1 / 24 )550435.59722222212213.414784403145.0681162425717
Winsorized Mean ( 2 / 24 )548962.23611111111728.536166652646.8056906941175
Winsorized Mean ( 3 / 24 )551190.86111111111123.689620129949.551082413667
Winsorized Mean ( 4 / 24 )551176.19444444410780.045216526751.1293026488838
Winsorized Mean ( 5 / 24 )551972.02777777810492.171265501852.6079887384854
Winsorized Mean ( 6 / 24 )551470.86111111110266.428265540953.7159415959799
Winsorized Mean ( 7 / 24 )547251.2222222229215.677602021859.3826353150812
Winsorized Mean ( 8 / 24 )5431258266.6663096319865.7006076762979
Winsorized Mean ( 9 / 24 )541631.3757864.118122837268.8737588296285
Winsorized Mean ( 10 / 24 )542011.6527777787537.2792820104171.91078272387
Winsorized Mean ( 11 / 24 )540837.5555555567236.8056217342274.7342935301818
Winsorized Mean ( 12 / 24 )540772.5555555566932.8969555841878.0009509761982
Winsorized Mean ( 13 / 24 )539577.2777777786502.2469259902982.9832031787382
Winsorized Mean ( 14 / 24 )539977.256406.7395415688384.2826911405509
Winsorized Mean ( 15 / 24 )540477.6666666676187.3410890581687.3521693546942
Winsorized Mean ( 16 / 24 )540648.1111111115985.3077447297590.3292084834182
Winsorized Mean ( 17 / 24 )540642.6805555565898.8477698997891.6522517014777
Winsorized Mean ( 18 / 24 )538954.6805555565601.2381094097996.2206337291999
Winsorized Mean ( 19 / 24 )537221.4583333335302.67569572316101.311392429038
Winsorized Mean ( 20 / 24 )537100.0694444444949.56223840545108.514661211226
Winsorized Mean ( 21 / 24 )536491.3611111114809.47152094294111.548921492715
Winsorized Mean ( 22 / 24 )535992.0833333334339.84681389281123.504839299282
Winsorized Mean ( 23 / 24 )535890.1805555564301.80886923946124.573219509471
Winsorized Mean ( 24 / 24 )539520.5138888893652.52098637969147.71181764616
Trimmed Mean ( 1 / 24 )549298.65714285711528.770124600247.6459024862295
Trimmed Mean ( 2 / 24 )548094.83823529410695.720352973551.2443126921243
Trimmed Mean ( 3 / 24 )547621.71212121210013.479918081554.6884516273274
Trimmed Mean ( 4 / 24 )546283.281259478.9320301538357.631311155328
Trimmed Mean ( 5 / 24 )544862.7580645168962.1854900555760.7957466032248
Trimmed Mean ( 6 / 24 )543156.5333333338421.6852094082364.4949935585991
Trimmed Mean ( 7 / 24 )541436.3275862077818.9929590556469.2462994175148
Trimmed Mean ( 8 / 24 )540368.2857142867397.7409144600973.0450406363986
Trimmed Mean ( 9 / 24 )539908.8333333337139.4206025424175.623620373489
Trimmed Mean ( 10 / 24 )539643.8269230776918.340663209578.0019159497025
Trimmed Mean ( 11 / 24 )539302.866717.0046640709680.2891894484924
Trimmed Mean ( 12 / 24 )539093.5833333336531.1785806494882.5415469315991
Trimmed Mean ( 13 / 24 )538874.5869565226361.0053827821684.7153169238209
Trimmed Mean ( 14 / 24 )538786.1363636366235.8269053120586.4017145672639
Trimmed Mean ( 15 / 24 )538640.2857142866088.3249982967188.471013926651
Trimmed Mean ( 16 / 24 )538419.85938.8385640628490.6607906903029
Trimmed Mean ( 17 / 24 )538155.9210526325781.0310693935893.0899548182299
Trimmed Mean ( 18 / 24 )537863.3611111115582.0198459482496.3564043043531
Trimmed Mean ( 19 / 24 )537734.9705882355384.1629694350399.8734573304828
Trimmed Mean ( 20 / 24 )537795.781255185.21324271706103.717196588851
Trimmed Mean ( 21 / 24 )537879.2666666674998.99176706694107.597550012021
Trimmed Mean ( 22 / 24 )538049.2142857144761.28047012886113.005150119029
Trimmed Mean ( 23 / 24 )538308.1538461544561.61015522853118.008364487076
Trimmed Mean ( 24 / 24 )538623.5416666674251.95938804755126.676548976635
Median533786.5
Midrange598522
Midmean - Weighted Average at Xnp536339.864864865
Midmean - Weighted Average at X(n+1)p537863.361111111
Midmean - Empirical Distribution Function536339.864864865
Midmean - Empirical Distribution Function - Averaging537863.361111111
Midmean - Empirical Distribution Function - Interpolation537863.361111111
Midmean - Closest Observation536339.864864865
Midmean - True Basic - Statistics Graphics Toolkit537863.361111111
Midmean - MS Excel (old versions)538155.921052632
Number of observations72

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 550665.972222222 & 12686.7979261639 & 43.4046459498333 \tabularnewline
Geometric Mean & 540702.237102874 &  &  \tabularnewline
Harmonic Mean & 530892.83127231 &  &  \tabularnewline
Quadratic Mean & 560946.349233522 &  &  \tabularnewline
Winsorized Mean ( 1 / 24 ) & 550435.597222222 & 12213.4147844031 & 45.0681162425717 \tabularnewline
Winsorized Mean ( 2 / 24 ) & 548962.236111111 & 11728.5361666526 & 46.8056906941175 \tabularnewline
Winsorized Mean ( 3 / 24 ) & 551190.861111111 & 11123.6896201299 & 49.551082413667 \tabularnewline
Winsorized Mean ( 4 / 24 ) & 551176.194444444 & 10780.0452165267 & 51.1293026488838 \tabularnewline
Winsorized Mean ( 5 / 24 ) & 551972.027777778 & 10492.1712655018 & 52.6079887384854 \tabularnewline
Winsorized Mean ( 6 / 24 ) & 551470.861111111 & 10266.4282655409 & 53.7159415959799 \tabularnewline
Winsorized Mean ( 7 / 24 ) & 547251.222222222 & 9215.6776020218 & 59.3826353150812 \tabularnewline
Winsorized Mean ( 8 / 24 ) & 543125 & 8266.66630963198 & 65.7006076762979 \tabularnewline
Winsorized Mean ( 9 / 24 ) & 541631.375 & 7864.1181228372 & 68.8737588296285 \tabularnewline
Winsorized Mean ( 10 / 24 ) & 542011.652777778 & 7537.27928201041 & 71.91078272387 \tabularnewline
Winsorized Mean ( 11 / 24 ) & 540837.555555556 & 7236.80562173422 & 74.7342935301818 \tabularnewline
Winsorized Mean ( 12 / 24 ) & 540772.555555556 & 6932.89695558418 & 78.0009509761982 \tabularnewline
Winsorized Mean ( 13 / 24 ) & 539577.277777778 & 6502.24692599029 & 82.9832031787382 \tabularnewline
Winsorized Mean ( 14 / 24 ) & 539977.25 & 6406.73954156883 & 84.2826911405509 \tabularnewline
Winsorized Mean ( 15 / 24 ) & 540477.666666667 & 6187.34108905816 & 87.3521693546942 \tabularnewline
Winsorized Mean ( 16 / 24 ) & 540648.111111111 & 5985.30774472975 & 90.3292084834182 \tabularnewline
Winsorized Mean ( 17 / 24 ) & 540642.680555556 & 5898.84776989978 & 91.6522517014777 \tabularnewline
Winsorized Mean ( 18 / 24 ) & 538954.680555556 & 5601.23810940979 & 96.2206337291999 \tabularnewline
Winsorized Mean ( 19 / 24 ) & 537221.458333333 & 5302.67569572316 & 101.311392429038 \tabularnewline
Winsorized Mean ( 20 / 24 ) & 537100.069444444 & 4949.56223840545 & 108.514661211226 \tabularnewline
Winsorized Mean ( 21 / 24 ) & 536491.361111111 & 4809.47152094294 & 111.548921492715 \tabularnewline
Winsorized Mean ( 22 / 24 ) & 535992.083333333 & 4339.84681389281 & 123.504839299282 \tabularnewline
Winsorized Mean ( 23 / 24 ) & 535890.180555556 & 4301.80886923946 & 124.573219509471 \tabularnewline
Winsorized Mean ( 24 / 24 ) & 539520.513888889 & 3652.52098637969 & 147.71181764616 \tabularnewline
Trimmed Mean ( 1 / 24 ) & 549298.657142857 & 11528.7701246002 & 47.6459024862295 \tabularnewline
Trimmed Mean ( 2 / 24 ) & 548094.838235294 & 10695.7203529735 & 51.2443126921243 \tabularnewline
Trimmed Mean ( 3 / 24 ) & 547621.712121212 & 10013.4799180815 & 54.6884516273274 \tabularnewline
Trimmed Mean ( 4 / 24 ) & 546283.28125 & 9478.93203015383 & 57.631311155328 \tabularnewline
Trimmed Mean ( 5 / 24 ) & 544862.758064516 & 8962.18549005557 & 60.7957466032248 \tabularnewline
Trimmed Mean ( 6 / 24 ) & 543156.533333333 & 8421.68520940823 & 64.4949935585991 \tabularnewline
Trimmed Mean ( 7 / 24 ) & 541436.327586207 & 7818.99295905564 & 69.2462994175148 \tabularnewline
Trimmed Mean ( 8 / 24 ) & 540368.285714286 & 7397.74091446009 & 73.0450406363986 \tabularnewline
Trimmed Mean ( 9 / 24 ) & 539908.833333333 & 7139.42060254241 & 75.623620373489 \tabularnewline
Trimmed Mean ( 10 / 24 ) & 539643.826923077 & 6918.3406632095 & 78.0019159497025 \tabularnewline
Trimmed Mean ( 11 / 24 ) & 539302.86 & 6717.00466407096 & 80.2891894484924 \tabularnewline
Trimmed Mean ( 12 / 24 ) & 539093.583333333 & 6531.17858064948 & 82.5415469315991 \tabularnewline
Trimmed Mean ( 13 / 24 ) & 538874.586956522 & 6361.00538278216 & 84.7153169238209 \tabularnewline
Trimmed Mean ( 14 / 24 ) & 538786.136363636 & 6235.82690531205 & 86.4017145672639 \tabularnewline
Trimmed Mean ( 15 / 24 ) & 538640.285714286 & 6088.32499829671 & 88.471013926651 \tabularnewline
Trimmed Mean ( 16 / 24 ) & 538419.8 & 5938.83856406284 & 90.6607906903029 \tabularnewline
Trimmed Mean ( 17 / 24 ) & 538155.921052632 & 5781.03106939358 & 93.0899548182299 \tabularnewline
Trimmed Mean ( 18 / 24 ) & 537863.361111111 & 5582.01984594824 & 96.3564043043531 \tabularnewline
Trimmed Mean ( 19 / 24 ) & 537734.970588235 & 5384.16296943503 & 99.8734573304828 \tabularnewline
Trimmed Mean ( 20 / 24 ) & 537795.78125 & 5185.21324271706 & 103.717196588851 \tabularnewline
Trimmed Mean ( 21 / 24 ) & 537879.266666667 & 4998.99176706694 & 107.597550012021 \tabularnewline
Trimmed Mean ( 22 / 24 ) & 538049.214285714 & 4761.28047012886 & 113.005150119029 \tabularnewline
Trimmed Mean ( 23 / 24 ) & 538308.153846154 & 4561.61015522853 & 118.008364487076 \tabularnewline
Trimmed Mean ( 24 / 24 ) & 538623.541666667 & 4251.95938804755 & 126.676548976635 \tabularnewline
Median & 533786.5 &  &  \tabularnewline
Midrange & 598522 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 536339.864864865 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 537863.361111111 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 536339.864864865 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 537863.361111111 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 537863.361111111 &  &  \tabularnewline
Midmean - Closest Observation & 536339.864864865 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 537863.361111111 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 538155.921052632 &  &  \tabularnewline
Number of observations & 72 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239634&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]550665.972222222[/C][C]12686.7979261639[/C][C]43.4046459498333[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]540702.237102874[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]530892.83127231[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]560946.349233522[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 24 )[/C][C]550435.597222222[/C][C]12213.4147844031[/C][C]45.0681162425717[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 24 )[/C][C]548962.236111111[/C][C]11728.5361666526[/C][C]46.8056906941175[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 24 )[/C][C]551190.861111111[/C][C]11123.6896201299[/C][C]49.551082413667[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 24 )[/C][C]551176.194444444[/C][C]10780.0452165267[/C][C]51.1293026488838[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 24 )[/C][C]551972.027777778[/C][C]10492.1712655018[/C][C]52.6079887384854[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 24 )[/C][C]551470.861111111[/C][C]10266.4282655409[/C][C]53.7159415959799[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 24 )[/C][C]547251.222222222[/C][C]9215.6776020218[/C][C]59.3826353150812[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 24 )[/C][C]543125[/C][C]8266.66630963198[/C][C]65.7006076762979[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 24 )[/C][C]541631.375[/C][C]7864.1181228372[/C][C]68.8737588296285[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 24 )[/C][C]542011.652777778[/C][C]7537.27928201041[/C][C]71.91078272387[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 24 )[/C][C]540837.555555556[/C][C]7236.80562173422[/C][C]74.7342935301818[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 24 )[/C][C]540772.555555556[/C][C]6932.89695558418[/C][C]78.0009509761982[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 24 )[/C][C]539577.277777778[/C][C]6502.24692599029[/C][C]82.9832031787382[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 24 )[/C][C]539977.25[/C][C]6406.73954156883[/C][C]84.2826911405509[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 24 )[/C][C]540477.666666667[/C][C]6187.34108905816[/C][C]87.3521693546942[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 24 )[/C][C]540648.111111111[/C][C]5985.30774472975[/C][C]90.3292084834182[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 24 )[/C][C]540642.680555556[/C][C]5898.84776989978[/C][C]91.6522517014777[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 24 )[/C][C]538954.680555556[/C][C]5601.23810940979[/C][C]96.2206337291999[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 24 )[/C][C]537221.458333333[/C][C]5302.67569572316[/C][C]101.311392429038[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 24 )[/C][C]537100.069444444[/C][C]4949.56223840545[/C][C]108.514661211226[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 24 )[/C][C]536491.361111111[/C][C]4809.47152094294[/C][C]111.548921492715[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 24 )[/C][C]535992.083333333[/C][C]4339.84681389281[/C][C]123.504839299282[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 24 )[/C][C]535890.180555556[/C][C]4301.80886923946[/C][C]124.573219509471[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 24 )[/C][C]539520.513888889[/C][C]3652.52098637969[/C][C]147.71181764616[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 24 )[/C][C]549298.657142857[/C][C]11528.7701246002[/C][C]47.6459024862295[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 24 )[/C][C]548094.838235294[/C][C]10695.7203529735[/C][C]51.2443126921243[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 24 )[/C][C]547621.712121212[/C][C]10013.4799180815[/C][C]54.6884516273274[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 24 )[/C][C]546283.28125[/C][C]9478.93203015383[/C][C]57.631311155328[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 24 )[/C][C]544862.758064516[/C][C]8962.18549005557[/C][C]60.7957466032248[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 24 )[/C][C]543156.533333333[/C][C]8421.68520940823[/C][C]64.4949935585991[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 24 )[/C][C]541436.327586207[/C][C]7818.99295905564[/C][C]69.2462994175148[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 24 )[/C][C]540368.285714286[/C][C]7397.74091446009[/C][C]73.0450406363986[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 24 )[/C][C]539908.833333333[/C][C]7139.42060254241[/C][C]75.623620373489[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 24 )[/C][C]539643.826923077[/C][C]6918.3406632095[/C][C]78.0019159497025[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 24 )[/C][C]539302.86[/C][C]6717.00466407096[/C][C]80.2891894484924[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 24 )[/C][C]539093.583333333[/C][C]6531.17858064948[/C][C]82.5415469315991[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 24 )[/C][C]538874.586956522[/C][C]6361.00538278216[/C][C]84.7153169238209[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 24 )[/C][C]538786.136363636[/C][C]6235.82690531205[/C][C]86.4017145672639[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 24 )[/C][C]538640.285714286[/C][C]6088.32499829671[/C][C]88.471013926651[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 24 )[/C][C]538419.8[/C][C]5938.83856406284[/C][C]90.6607906903029[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 24 )[/C][C]538155.921052632[/C][C]5781.03106939358[/C][C]93.0899548182299[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 24 )[/C][C]537863.361111111[/C][C]5582.01984594824[/C][C]96.3564043043531[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 24 )[/C][C]537734.970588235[/C][C]5384.16296943503[/C][C]99.8734573304828[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 24 )[/C][C]537795.78125[/C][C]5185.21324271706[/C][C]103.717196588851[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 24 )[/C][C]537879.266666667[/C][C]4998.99176706694[/C][C]107.597550012021[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 24 )[/C][C]538049.214285714[/C][C]4761.28047012886[/C][C]113.005150119029[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 24 )[/C][C]538308.153846154[/C][C]4561.61015522853[/C][C]118.008364487076[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 24 )[/C][C]538623.541666667[/C][C]4251.95938804755[/C][C]126.676548976635[/C][/ROW]
[ROW][C]Median[/C][C]533786.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]598522[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]536339.864864865[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]537863.361111111[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]536339.864864865[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]537863.361111111[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]537863.361111111[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]536339.864864865[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]537863.361111111[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]538155.921052632[/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=239634&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239634&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 Mean550665.97222222212686.797926163943.4046459498333
Geometric Mean540702.237102874
Harmonic Mean530892.83127231
Quadratic Mean560946.349233522
Winsorized Mean ( 1 / 24 )550435.59722222212213.414784403145.0681162425717
Winsorized Mean ( 2 / 24 )548962.23611111111728.536166652646.8056906941175
Winsorized Mean ( 3 / 24 )551190.86111111111123.689620129949.551082413667
Winsorized Mean ( 4 / 24 )551176.19444444410780.045216526751.1293026488838
Winsorized Mean ( 5 / 24 )551972.02777777810492.171265501852.6079887384854
Winsorized Mean ( 6 / 24 )551470.86111111110266.428265540953.7159415959799
Winsorized Mean ( 7 / 24 )547251.2222222229215.677602021859.3826353150812
Winsorized Mean ( 8 / 24 )5431258266.6663096319865.7006076762979
Winsorized Mean ( 9 / 24 )541631.3757864.118122837268.8737588296285
Winsorized Mean ( 10 / 24 )542011.6527777787537.2792820104171.91078272387
Winsorized Mean ( 11 / 24 )540837.5555555567236.8056217342274.7342935301818
Winsorized Mean ( 12 / 24 )540772.5555555566932.8969555841878.0009509761982
Winsorized Mean ( 13 / 24 )539577.2777777786502.2469259902982.9832031787382
Winsorized Mean ( 14 / 24 )539977.256406.7395415688384.2826911405509
Winsorized Mean ( 15 / 24 )540477.6666666676187.3410890581687.3521693546942
Winsorized Mean ( 16 / 24 )540648.1111111115985.3077447297590.3292084834182
Winsorized Mean ( 17 / 24 )540642.6805555565898.8477698997891.6522517014777
Winsorized Mean ( 18 / 24 )538954.6805555565601.2381094097996.2206337291999
Winsorized Mean ( 19 / 24 )537221.4583333335302.67569572316101.311392429038
Winsorized Mean ( 20 / 24 )537100.0694444444949.56223840545108.514661211226
Winsorized Mean ( 21 / 24 )536491.3611111114809.47152094294111.548921492715
Winsorized Mean ( 22 / 24 )535992.0833333334339.84681389281123.504839299282
Winsorized Mean ( 23 / 24 )535890.1805555564301.80886923946124.573219509471
Winsorized Mean ( 24 / 24 )539520.5138888893652.52098637969147.71181764616
Trimmed Mean ( 1 / 24 )549298.65714285711528.770124600247.6459024862295
Trimmed Mean ( 2 / 24 )548094.83823529410695.720352973551.2443126921243
Trimmed Mean ( 3 / 24 )547621.71212121210013.479918081554.6884516273274
Trimmed Mean ( 4 / 24 )546283.281259478.9320301538357.631311155328
Trimmed Mean ( 5 / 24 )544862.7580645168962.1854900555760.7957466032248
Trimmed Mean ( 6 / 24 )543156.5333333338421.6852094082364.4949935585991
Trimmed Mean ( 7 / 24 )541436.3275862077818.9929590556469.2462994175148
Trimmed Mean ( 8 / 24 )540368.2857142867397.7409144600973.0450406363986
Trimmed Mean ( 9 / 24 )539908.8333333337139.4206025424175.623620373489
Trimmed Mean ( 10 / 24 )539643.8269230776918.340663209578.0019159497025
Trimmed Mean ( 11 / 24 )539302.866717.0046640709680.2891894484924
Trimmed Mean ( 12 / 24 )539093.5833333336531.1785806494882.5415469315991
Trimmed Mean ( 13 / 24 )538874.5869565226361.0053827821684.7153169238209
Trimmed Mean ( 14 / 24 )538786.1363636366235.8269053120586.4017145672639
Trimmed Mean ( 15 / 24 )538640.2857142866088.3249982967188.471013926651
Trimmed Mean ( 16 / 24 )538419.85938.8385640628490.6607906903029
Trimmed Mean ( 17 / 24 )538155.9210526325781.0310693935893.0899548182299
Trimmed Mean ( 18 / 24 )537863.3611111115582.0198459482496.3564043043531
Trimmed Mean ( 19 / 24 )537734.9705882355384.1629694350399.8734573304828
Trimmed Mean ( 20 / 24 )537795.781255185.21324271706103.717196588851
Trimmed Mean ( 21 / 24 )537879.2666666674998.99176706694107.597550012021
Trimmed Mean ( 22 / 24 )538049.2142857144761.28047012886113.005150119029
Trimmed Mean ( 23 / 24 )538308.1538461544561.61015522853118.008364487076
Trimmed Mean ( 24 / 24 )538623.5416666674251.95938804755126.676548976635
Median533786.5
Midrange598522
Midmean - Weighted Average at Xnp536339.864864865
Midmean - Weighted Average at X(n+1)p537863.361111111
Midmean - Empirical Distribution Function536339.864864865
Midmean - Empirical Distribution Function - Averaging537863.361111111
Midmean - Empirical Distribution Function - Interpolation537863.361111111
Midmean - Closest Observation536339.864864865
Midmean - True Basic - Statistics Graphics Toolkit537863.361111111
Midmean - MS Excel (old versions)538155.921052632
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')