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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, 12 Dec 2007 03:52:43 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/12/t1197455909saiity7ewd6ouqd.htm/, Retrieved Thu, 02 May 2024 21:54:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3203, Retrieved Thu, 02 May 2024 21:54:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact215
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Centr. Ten. Inv. ...] [2007-12-12 10:52:43] [6bdd947de0ee04552c8f0fc807f31807] [Current]
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Dataseries X:
2595,3
2576
2821,1
2807,3
2725,4
2617,5
2521,4
2463,2
2808,6
2993,2
2605,6
2856,4
2861,5
2809,3
3092,4
2671,3
2568,8
2656,9
2547,8
2408,4
2818,7
2871,5
2779,8
3009,6
2764
2788,5
3319,4
2998,2
2841,2
3233,5
2889,3
2910,5
3259,3
3419,9
3311,8
3644,9
3208,3
3400,6
3969,6
3657,2
3268,7
3486,7
3121,8
3544,2
3840,6
3725,7
4304,1
4887,5
4370
4343,9
5546
3953,4
4115,5
3964,8
3651
4032,1
3862,5
3993,1
3963
3962,3
3910,2
3685,9
4055,5
3868,8
4325,1
4356,4
4319,8




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3203&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3203&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3203&T=0

As an alternative you can also use a QR Code:  

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

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean3366.5940298507582.459046586780840.8274673210987
Geometric Mean3303.49186141182
Harmonic Mean3244.11113156807
Quadratic Mean3432.59697457344
Winsorized Mean ( 1 / 22 )3357.5835820895578.893372258558742.5584999850898
Winsorized Mean ( 2 / 22 )3343.8731343283674.704161157026544.7615378117908
Winsorized Mean ( 3 / 22 )3344.4462686567274.383519665762244.9621943635469
Winsorized Mean ( 4 / 22 )3344.9537313432874.029006145697745.184366311227
Winsorized Mean ( 5 / 22 )3344.0880597014973.65889790593145.3996483082355
Winsorized Mean ( 6 / 22 )3345.3417910447873.29266810137745.6436077128147
Winsorized Mean ( 7 / 22 )3344.777611940372.797482443537345.9463363246738
Winsorized Mean ( 8 / 22 )3323.6791044776168.34369975325148.6318287783288
Winsorized Mean ( 9 / 22 )3320.9119402985166.140651068429250.2098465414664
Winsorized Mean ( 10 / 22 )3319.5686567164265.232464877805850.8882910209613
Winsorized Mean ( 11 / 22 )3322.0477611940362.876935014709552.83412368012
Winsorized Mean ( 12 / 22 )3324.7522388059761.223809466433354.3048900057225
Winsorized Mean ( 13 / 22 )3326.8865671641860.653069418793254.8510833671568
Winsorized Mean ( 14 / 22 )3328.3283582089660.345708697019255.1543503270409
Winsorized Mean ( 15 / 22 )3332.3805970149359.755253927608755.7671564922473
Winsorized Mean ( 16 / 22 )3330.5656716417959.37527572559956.0934771407866
Winsorized Mean ( 17 / 22 )3319.7820895522457.629416153344557.6056866638857
Winsorized Mean ( 18 / 22 )3311.1850746268755.581518207325559.5734909988561
Winsorized Mean ( 19 / 22 )3310.0791044776155.218986336227859.9445829070924
Winsorized Mean ( 20 / 22 )3309.5417910447853.430220417509561.941383830792
Winsorized Mean ( 21 / 22 )3278.2925373134347.503890498077569.0110326320769
Winsorized Mean ( 22 / 22 )3266.8985074626945.432048726935371.9073561286669
Trimmed Mean ( 1 / 22 )3347.8061538461576.548868751279443.7342342017328
Trimmed Mean ( 2 / 22 )3337.4079365079473.700513847812345.2833740535311
Trimmed Mean ( 3 / 22 )3333.8573770491872.961537642691545.6933541255093
Trimmed Mean ( 4 / 22 )3329.8491525423772.161187939531846.1445999937342
Trimmed Mean ( 5 / 22 )3325.4105263157971.263540800291446.663560201631
Trimmed Mean ( 6 / 22 )3320.8670.229094021908447.2861005292769
Trimmed Mean ( 7 / 22 )3315.7018867924569.003598404864248.0511446278245
Trimmed Mean ( 8 / 22 )3310.2450980392267.562579520620748.9952444315555
Trimmed Mean ( 9 / 22 )3307.9489795918466.851574740307549.4819904010031
Trimmed Mean ( 10 / 22 )3305.8957446808566.387230164626249.7971633472723
Trimmed Mean ( 11 / 22 )3303.8665.897972133542450.1359889088047
Trimmed Mean ( 12 / 22 )3301.2837209302365.669233322823650.2713912419449
Trimmed Mean ( 13 / 22 )3298.0878048780565.576906274433850.2934339579216
Trimmed Mean ( 14 / 22 )3294.2820512820565.400509978304750.3708924039715
Trimmed Mean ( 15 / 22 )3289.8783783783865.04291308489850.5801204519273
Trimmed Mean ( 16 / 22 )3284.4542857142964.489402600575550.9301397325237
Trimmed Mean ( 17 / 22 )3278.6030303030363.618888717164651.5350565911166
Trimmed Mean ( 18 / 22 )3273.3677419354862.682041191194152.2217796314416
Trimmed Mean ( 19 / 22 )3268.5137931034561.708635399436152.966878491909
Trimmed Mean ( 20 / 22 )3263.0851851851960.131214714252254.2660779545465
Trimmed Mean ( 21 / 22 )3256.8658.106028373425556.0502944560139
Trimmed Mean ( 22 / 22 )3253.8869565217457.02443596051257.0612738506519
Median3259.3
Midrange3977.2
Midmean - Weighted Average at Xnp3264.77941176471
Midmean - Weighted Average at X(n+1)p3284.45428571429
Midmean - Empirical Distribution Function3284.45428571429
Midmean - Empirical Distribution Function - Averaging3284.45428571429
Midmean - Empirical Distribution Function - Interpolation3278.60303030303
Midmean - Closest Observation3264.77941176471
Midmean - True Basic - Statistics Graphics Toolkit3284.45428571429
Midmean - MS Excel (old versions)3284.45428571429
Number of observations67

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 3366.59402985075 & 82.4590465867808 & 40.8274673210987 \tabularnewline
Geometric Mean & 3303.49186141182 &  &  \tabularnewline
Harmonic Mean & 3244.11113156807 &  &  \tabularnewline
Quadratic Mean & 3432.59697457344 &  &  \tabularnewline
Winsorized Mean ( 1 / 22 ) & 3357.58358208955 & 78.8933722585587 & 42.5584999850898 \tabularnewline
Winsorized Mean ( 2 / 22 ) & 3343.87313432836 & 74.7041611570265 & 44.7615378117908 \tabularnewline
Winsorized Mean ( 3 / 22 ) & 3344.44626865672 & 74.3835196657622 & 44.9621943635469 \tabularnewline
Winsorized Mean ( 4 / 22 ) & 3344.95373134328 & 74.0290061456977 & 45.184366311227 \tabularnewline
Winsorized Mean ( 5 / 22 ) & 3344.08805970149 & 73.658897905931 & 45.3996483082355 \tabularnewline
Winsorized Mean ( 6 / 22 ) & 3345.34179104478 & 73.292668101377 & 45.6436077128147 \tabularnewline
Winsorized Mean ( 7 / 22 ) & 3344.7776119403 & 72.7974824435373 & 45.9463363246738 \tabularnewline
Winsorized Mean ( 8 / 22 ) & 3323.67910447761 & 68.343699753251 & 48.6318287783288 \tabularnewline
Winsorized Mean ( 9 / 22 ) & 3320.91194029851 & 66.1406510684292 & 50.2098465414664 \tabularnewline
Winsorized Mean ( 10 / 22 ) & 3319.56865671642 & 65.2324648778058 & 50.8882910209613 \tabularnewline
Winsorized Mean ( 11 / 22 ) & 3322.04776119403 & 62.8769350147095 & 52.83412368012 \tabularnewline
Winsorized Mean ( 12 / 22 ) & 3324.75223880597 & 61.2238094664333 & 54.3048900057225 \tabularnewline
Winsorized Mean ( 13 / 22 ) & 3326.88656716418 & 60.6530694187932 & 54.8510833671568 \tabularnewline
Winsorized Mean ( 14 / 22 ) & 3328.32835820896 & 60.3457086970192 & 55.1543503270409 \tabularnewline
Winsorized Mean ( 15 / 22 ) & 3332.38059701493 & 59.7552539276087 & 55.7671564922473 \tabularnewline
Winsorized Mean ( 16 / 22 ) & 3330.56567164179 & 59.375275725599 & 56.0934771407866 \tabularnewline
Winsorized Mean ( 17 / 22 ) & 3319.78208955224 & 57.6294161533445 & 57.6056866638857 \tabularnewline
Winsorized Mean ( 18 / 22 ) & 3311.18507462687 & 55.5815182073255 & 59.5734909988561 \tabularnewline
Winsorized Mean ( 19 / 22 ) & 3310.07910447761 & 55.2189863362278 & 59.9445829070924 \tabularnewline
Winsorized Mean ( 20 / 22 ) & 3309.54179104478 & 53.4302204175095 & 61.941383830792 \tabularnewline
Winsorized Mean ( 21 / 22 ) & 3278.29253731343 & 47.5038904980775 & 69.0110326320769 \tabularnewline
Winsorized Mean ( 22 / 22 ) & 3266.89850746269 & 45.4320487269353 & 71.9073561286669 \tabularnewline
Trimmed Mean ( 1 / 22 ) & 3347.80615384615 & 76.5488687512794 & 43.7342342017328 \tabularnewline
Trimmed Mean ( 2 / 22 ) & 3337.40793650794 & 73.7005138478123 & 45.2833740535311 \tabularnewline
Trimmed Mean ( 3 / 22 ) & 3333.85737704918 & 72.9615376426915 & 45.6933541255093 \tabularnewline
Trimmed Mean ( 4 / 22 ) & 3329.84915254237 & 72.1611879395318 & 46.1445999937342 \tabularnewline
Trimmed Mean ( 5 / 22 ) & 3325.41052631579 & 71.2635408002914 & 46.663560201631 \tabularnewline
Trimmed Mean ( 6 / 22 ) & 3320.86 & 70.2290940219084 & 47.2861005292769 \tabularnewline
Trimmed Mean ( 7 / 22 ) & 3315.70188679245 & 69.0035984048642 & 48.0511446278245 \tabularnewline
Trimmed Mean ( 8 / 22 ) & 3310.24509803922 & 67.5625795206207 & 48.9952444315555 \tabularnewline
Trimmed Mean ( 9 / 22 ) & 3307.94897959184 & 66.8515747403075 & 49.4819904010031 \tabularnewline
Trimmed Mean ( 10 / 22 ) & 3305.89574468085 & 66.3872301646262 & 49.7971633472723 \tabularnewline
Trimmed Mean ( 11 / 22 ) & 3303.86 & 65.8979721335424 & 50.1359889088047 \tabularnewline
Trimmed Mean ( 12 / 22 ) & 3301.28372093023 & 65.6692333228236 & 50.2713912419449 \tabularnewline
Trimmed Mean ( 13 / 22 ) & 3298.08780487805 & 65.5769062744338 & 50.2934339579216 \tabularnewline
Trimmed Mean ( 14 / 22 ) & 3294.28205128205 & 65.4005099783047 & 50.3708924039715 \tabularnewline
Trimmed Mean ( 15 / 22 ) & 3289.87837837838 & 65.042913084898 & 50.5801204519273 \tabularnewline
Trimmed Mean ( 16 / 22 ) & 3284.45428571429 & 64.4894026005755 & 50.9301397325237 \tabularnewline
Trimmed Mean ( 17 / 22 ) & 3278.60303030303 & 63.6188887171646 & 51.5350565911166 \tabularnewline
Trimmed Mean ( 18 / 22 ) & 3273.36774193548 & 62.6820411911941 & 52.2217796314416 \tabularnewline
Trimmed Mean ( 19 / 22 ) & 3268.51379310345 & 61.7086353994361 & 52.966878491909 \tabularnewline
Trimmed Mean ( 20 / 22 ) & 3263.08518518519 & 60.1312147142522 & 54.2660779545465 \tabularnewline
Trimmed Mean ( 21 / 22 ) & 3256.86 & 58.1060283734255 & 56.0502944560139 \tabularnewline
Trimmed Mean ( 22 / 22 ) & 3253.88695652174 & 57.024435960512 & 57.0612738506519 \tabularnewline
Median & 3259.3 &  &  \tabularnewline
Midrange & 3977.2 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 3264.77941176471 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 3284.45428571429 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 3284.45428571429 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 3284.45428571429 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 3278.60303030303 &  &  \tabularnewline
Midmean - Closest Observation & 3264.77941176471 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 3284.45428571429 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 3284.45428571429 &  &  \tabularnewline
Number of observations & 67 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3203&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]3366.59402985075[/C][C]82.4590465867808[/C][C]40.8274673210987[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]3303.49186141182[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]3244.11113156807[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]3432.59697457344[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 22 )[/C][C]3357.58358208955[/C][C]78.8933722585587[/C][C]42.5584999850898[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 22 )[/C][C]3343.87313432836[/C][C]74.7041611570265[/C][C]44.7615378117908[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 22 )[/C][C]3344.44626865672[/C][C]74.3835196657622[/C][C]44.9621943635469[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 22 )[/C][C]3344.95373134328[/C][C]74.0290061456977[/C][C]45.184366311227[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 22 )[/C][C]3344.08805970149[/C][C]73.658897905931[/C][C]45.3996483082355[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 22 )[/C][C]3345.34179104478[/C][C]73.292668101377[/C][C]45.6436077128147[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 22 )[/C][C]3344.7776119403[/C][C]72.7974824435373[/C][C]45.9463363246738[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 22 )[/C][C]3323.67910447761[/C][C]68.343699753251[/C][C]48.6318287783288[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 22 )[/C][C]3320.91194029851[/C][C]66.1406510684292[/C][C]50.2098465414664[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 22 )[/C][C]3319.56865671642[/C][C]65.2324648778058[/C][C]50.8882910209613[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 22 )[/C][C]3322.04776119403[/C][C]62.8769350147095[/C][C]52.83412368012[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 22 )[/C][C]3324.75223880597[/C][C]61.2238094664333[/C][C]54.3048900057225[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 22 )[/C][C]3326.88656716418[/C][C]60.6530694187932[/C][C]54.8510833671568[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 22 )[/C][C]3328.32835820896[/C][C]60.3457086970192[/C][C]55.1543503270409[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 22 )[/C][C]3332.38059701493[/C][C]59.7552539276087[/C][C]55.7671564922473[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 22 )[/C][C]3330.56567164179[/C][C]59.375275725599[/C][C]56.0934771407866[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 22 )[/C][C]3319.78208955224[/C][C]57.6294161533445[/C][C]57.6056866638857[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 22 )[/C][C]3311.18507462687[/C][C]55.5815182073255[/C][C]59.5734909988561[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 22 )[/C][C]3310.07910447761[/C][C]55.2189863362278[/C][C]59.9445829070924[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 22 )[/C][C]3309.54179104478[/C][C]53.4302204175095[/C][C]61.941383830792[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 22 )[/C][C]3278.29253731343[/C][C]47.5038904980775[/C][C]69.0110326320769[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 22 )[/C][C]3266.89850746269[/C][C]45.4320487269353[/C][C]71.9073561286669[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 22 )[/C][C]3347.80615384615[/C][C]76.5488687512794[/C][C]43.7342342017328[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 22 )[/C][C]3337.40793650794[/C][C]73.7005138478123[/C][C]45.2833740535311[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 22 )[/C][C]3333.85737704918[/C][C]72.9615376426915[/C][C]45.6933541255093[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 22 )[/C][C]3329.84915254237[/C][C]72.1611879395318[/C][C]46.1445999937342[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 22 )[/C][C]3325.41052631579[/C][C]71.2635408002914[/C][C]46.663560201631[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 22 )[/C][C]3320.86[/C][C]70.2290940219084[/C][C]47.2861005292769[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 22 )[/C][C]3315.70188679245[/C][C]69.0035984048642[/C][C]48.0511446278245[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 22 )[/C][C]3310.24509803922[/C][C]67.5625795206207[/C][C]48.9952444315555[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 22 )[/C][C]3307.94897959184[/C][C]66.8515747403075[/C][C]49.4819904010031[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 22 )[/C][C]3305.89574468085[/C][C]66.3872301646262[/C][C]49.7971633472723[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 22 )[/C][C]3303.86[/C][C]65.8979721335424[/C][C]50.1359889088047[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 22 )[/C][C]3301.28372093023[/C][C]65.6692333228236[/C][C]50.2713912419449[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 22 )[/C][C]3298.08780487805[/C][C]65.5769062744338[/C][C]50.2934339579216[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 22 )[/C][C]3294.28205128205[/C][C]65.4005099783047[/C][C]50.3708924039715[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 22 )[/C][C]3289.87837837838[/C][C]65.042913084898[/C][C]50.5801204519273[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 22 )[/C][C]3284.45428571429[/C][C]64.4894026005755[/C][C]50.9301397325237[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 22 )[/C][C]3278.60303030303[/C][C]63.6188887171646[/C][C]51.5350565911166[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 22 )[/C][C]3273.36774193548[/C][C]62.6820411911941[/C][C]52.2217796314416[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 22 )[/C][C]3268.51379310345[/C][C]61.7086353994361[/C][C]52.966878491909[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 22 )[/C][C]3263.08518518519[/C][C]60.1312147142522[/C][C]54.2660779545465[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 22 )[/C][C]3256.86[/C][C]58.1060283734255[/C][C]56.0502944560139[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 22 )[/C][C]3253.88695652174[/C][C]57.024435960512[/C][C]57.0612738506519[/C][/ROW]
[ROW][C]Median[/C][C]3259.3[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]3977.2[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]3264.77941176471[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]3284.45428571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]3284.45428571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]3284.45428571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]3278.60303030303[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]3264.77941176471[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]3284.45428571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]3284.45428571429[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]67[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3203&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3203&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 Mean3366.5940298507582.459046586780840.8274673210987
Geometric Mean3303.49186141182
Harmonic Mean3244.11113156807
Quadratic Mean3432.59697457344
Winsorized Mean ( 1 / 22 )3357.5835820895578.893372258558742.5584999850898
Winsorized Mean ( 2 / 22 )3343.8731343283674.704161157026544.7615378117908
Winsorized Mean ( 3 / 22 )3344.4462686567274.383519665762244.9621943635469
Winsorized Mean ( 4 / 22 )3344.9537313432874.029006145697745.184366311227
Winsorized Mean ( 5 / 22 )3344.0880597014973.65889790593145.3996483082355
Winsorized Mean ( 6 / 22 )3345.3417910447873.29266810137745.6436077128147
Winsorized Mean ( 7 / 22 )3344.777611940372.797482443537345.9463363246738
Winsorized Mean ( 8 / 22 )3323.6791044776168.34369975325148.6318287783288
Winsorized Mean ( 9 / 22 )3320.9119402985166.140651068429250.2098465414664
Winsorized Mean ( 10 / 22 )3319.5686567164265.232464877805850.8882910209613
Winsorized Mean ( 11 / 22 )3322.0477611940362.876935014709552.83412368012
Winsorized Mean ( 12 / 22 )3324.7522388059761.223809466433354.3048900057225
Winsorized Mean ( 13 / 22 )3326.8865671641860.653069418793254.8510833671568
Winsorized Mean ( 14 / 22 )3328.3283582089660.345708697019255.1543503270409
Winsorized Mean ( 15 / 22 )3332.3805970149359.755253927608755.7671564922473
Winsorized Mean ( 16 / 22 )3330.5656716417959.37527572559956.0934771407866
Winsorized Mean ( 17 / 22 )3319.7820895522457.629416153344557.6056866638857
Winsorized Mean ( 18 / 22 )3311.1850746268755.581518207325559.5734909988561
Winsorized Mean ( 19 / 22 )3310.0791044776155.218986336227859.9445829070924
Winsorized Mean ( 20 / 22 )3309.5417910447853.430220417509561.941383830792
Winsorized Mean ( 21 / 22 )3278.2925373134347.503890498077569.0110326320769
Winsorized Mean ( 22 / 22 )3266.8985074626945.432048726935371.9073561286669
Trimmed Mean ( 1 / 22 )3347.8061538461576.548868751279443.7342342017328
Trimmed Mean ( 2 / 22 )3337.4079365079473.700513847812345.2833740535311
Trimmed Mean ( 3 / 22 )3333.8573770491872.961537642691545.6933541255093
Trimmed Mean ( 4 / 22 )3329.8491525423772.161187939531846.1445999937342
Trimmed Mean ( 5 / 22 )3325.4105263157971.263540800291446.663560201631
Trimmed Mean ( 6 / 22 )3320.8670.229094021908447.2861005292769
Trimmed Mean ( 7 / 22 )3315.7018867924569.003598404864248.0511446278245
Trimmed Mean ( 8 / 22 )3310.2450980392267.562579520620748.9952444315555
Trimmed Mean ( 9 / 22 )3307.9489795918466.851574740307549.4819904010031
Trimmed Mean ( 10 / 22 )3305.8957446808566.387230164626249.7971633472723
Trimmed Mean ( 11 / 22 )3303.8665.897972133542450.1359889088047
Trimmed Mean ( 12 / 22 )3301.2837209302365.669233322823650.2713912419449
Trimmed Mean ( 13 / 22 )3298.0878048780565.576906274433850.2934339579216
Trimmed Mean ( 14 / 22 )3294.2820512820565.400509978304750.3708924039715
Trimmed Mean ( 15 / 22 )3289.8783783783865.04291308489850.5801204519273
Trimmed Mean ( 16 / 22 )3284.4542857142964.489402600575550.9301397325237
Trimmed Mean ( 17 / 22 )3278.6030303030363.618888717164651.5350565911166
Trimmed Mean ( 18 / 22 )3273.3677419354862.682041191194152.2217796314416
Trimmed Mean ( 19 / 22 )3268.5137931034561.708635399436152.966878491909
Trimmed Mean ( 20 / 22 )3263.0851851851960.131214714252254.2660779545465
Trimmed Mean ( 21 / 22 )3256.8658.106028373425556.0502944560139
Trimmed Mean ( 22 / 22 )3253.8869565217457.02443596051257.0612738506519
Median3259.3
Midrange3977.2
Midmean - Weighted Average at Xnp3264.77941176471
Midmean - Weighted Average at X(n+1)p3284.45428571429
Midmean - Empirical Distribution Function3284.45428571429
Midmean - Empirical Distribution Function - Averaging3284.45428571429
Midmean - Empirical Distribution Function - Interpolation3278.60303030303
Midmean - Closest Observation3264.77941176471
Midmean - True Basic - Statistics Graphics Toolkit3284.45428571429
Midmean - MS Excel (old versions)3284.45428571429
Number of observations67



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')