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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 computationSun, 12 Oct 2014 08:06:14 +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/12/t1413097666cwfkairjyakgxz9.htm/, Retrieved Wed, 15 May 2024 03:36:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=240515, Retrieved Wed, 15 May 2024 03:36:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Wekelijkse uitgav...] [2014-10-12 06:55:20] [e97b13db03ec4462fc78f6a58c978234]
-    D    [Central Tendency] [Verkopen motorvoe...] [2014-10-12 07:06:14] [5bf76c10641fca8e28dadcb3ba7a941a] [Current]
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Dataseries X:
66329
50326
47182
42247
45796
48233
40079
39596
41275
41875
29784
7199
56166
33936
34532
30261
30857
35461
33525
27825
33624
35618
27329
8081
62751
37565
44749
37537
36825
50679
38488
36522
45545
43571
37343
11593
74784
49019
56601
47634
49807
50499
42092
39064
44376
43616
41059
17226
70170
43949
52333
41034
47760
76115
30918
32994
31947
26763
30251
18211
47957
31901
35560
30408
30083
35044
30475
28308
31395
36311
40426
38948




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=240515&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=240515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=240515&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 Mean39518.63888888891537.5467623085325.7023980392988
Geometric Mean36940.6539709685
Harmonic Mean33133.386699464
Quadratic Mean41588.1037427371
Winsorized Mean ( 1 / 24 )39512.40277777781527.8542624749825.8613689461267
Winsorized Mean ( 2 / 24 )39481.79166666671460.740604297327.0286124384553
Winsorized Mean ( 3 / 24 )39556.45833333331355.8126836811329.1754597146374
Winsorized Mean ( 4 / 24 )39412.40277777781290.1089011335230.5496712278702
Winsorized Mean ( 5 / 24 )39579.20833333331066.3292218471837.1172500222501
Winsorized Mean ( 6 / 24 )39590.1251050.3546619403137.6921495515292
Winsorized Mean ( 7 / 24 )39265.6944444444965.17400493181740.6825030966497
Winsorized Mean ( 8 / 24 )39135.5833333333922.5107577164142.4229018534265
Winsorized Mean ( 9 / 24 )39297.5833333333889.35923258342444.1864006057272
Winsorized Mean ( 10 / 24 )39315.0833333333878.90753312286844.7317628438591
Winsorized Mean ( 11 / 24 )39261.4583333333861.28382172881445.5848087968559
Winsorized Mean ( 12 / 24 )39131.7916666667838.80527110849646.6518189793363
Winsorized Mean ( 13 / 24 )39016.4166666667811.71111497532948.0668749593906
Winsorized Mean ( 14 / 24 )38975.7777777778801.23680783580948.644517321981
Winsorized Mean ( 15 / 24 )39014.3194444444782.98239362521449.8278374610799
Winsorized Mean ( 16 / 24 )38999.875776.59962659178350.2187660985062
Winsorized Mean ( 17 / 24 )39005.7777777778743.60345473647352.4550787510812
Winsorized Mean ( 18 / 24 )38785.7777777778673.05674553937157.6263116517699
Winsorized Mean ( 19 / 24 )38731.6805555556661.64362663330458.5385833044854
Winsorized Mean ( 20 / 24 )38801.4027777778588.60128381326265.9213696008311
Winsorized Mean ( 21 / 24 )38847.4861111111551.89567888584770.3891833136571
Winsorized Mean ( 22 / 24 )38747.2638888889529.54703160600373.1705808478932
Winsorized Mean ( 23 / 24 )38740.5555555556501.38387943517777.2672539835103
Winsorized Mean ( 24 / 24 )38924.2222222222472.90628102687882.3085329670425
Trimmed Mean ( 1 / 24 )39457.54285714291417.2049768659827.8418037625013
Trimmed Mean ( 2 / 24 )39399.45588235291280.315820864630.7732320731195
Trimmed Mean ( 3 / 24 )39354.54545454551157.5309200423133.9986991043894
Trimmed Mean ( 4 / 24 )39278.8281251060.0070255070737.0552526349628
Trimmed Mean ( 5 / 24 )39240.0483870968966.86589620895240.5847889980975
Trimmed Mean ( 6 / 24 )39158.65932.47269535614141.9944199921522
Trimmed Mean ( 7 / 24 )39069.3793103448895.03504979836743.6512283168646
Trimmed Mean ( 8 / 24 )39033.3214285714872.74078659648644.7249882531485
Trimmed Mean ( 9 / 24 )39016.2777777778855.6331864981345.5993039931756
Trimmed Mean ( 10 / 24 )38973841.53765300062446.3116532706958
Trimmed Mean ( 11 / 24 )38923.74825.62635014210847.1444982264681
Trimmed Mean ( 12 / 24 )38877.6875808.942885707748.059867002833
Trimmed Mean ( 13 / 24 )38844.5434782609792.2195962012949.0325456029127
Trimmed Mean ( 14 / 24 )38822.9090909091776.17047724348450.0185335943026
Trimmed Mean ( 15 / 24 )38804.1904761905756.95908631084151.2632600333907
Trimmed Mean ( 16 / 24 )38778.975735.2367144437452.7435236002042
Trimmed Mean ( 17 / 24 )38752.8157894737707.13772106349454.8023597598381
Trimmed Mean ( 18 / 24 )38723.0555555556677.20307022673457.18086237056
Trimmed Mean ( 19 / 24 )38715.6764705882654.93614651214659.1136657776
Trimmed Mean ( 20 / 24 )38713.78125626.06155450481261.8370206115291
Trimmed Mean ( 21 / 24 )38703.2666666667606.16977807108163.8488886559571
Trimmed Mean ( 22 / 24 )38685.6071428571587.1995287905765.8815364217616
Trimmed Mean ( 23 / 24 )38677.8461538462564.79614754708168.4810729000626
Trimmed Mean ( 24 / 24 )38669.6666666667539.17958567054971.7194561781772
Median38718
Midrange41657
Midmean - Weighted Average at Xnp38525
Midmean - Weighted Average at X(n+1)p38723.0555555556
Midmean - Empirical Distribution Function38525
Midmean - Empirical Distribution Function - Averaging38723.0555555556
Midmean - Empirical Distribution Function - Interpolation38723.0555555556
Midmean - Closest Observation38525
Midmean - True Basic - Statistics Graphics Toolkit38723.0555555556
Midmean - MS Excel (old versions)38752.8157894737
Number of observations72

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 39518.6388888889 & 1537.54676230853 & 25.7023980392988 \tabularnewline
Geometric Mean & 36940.6539709685 &  &  \tabularnewline
Harmonic Mean & 33133.386699464 &  &  \tabularnewline
Quadratic Mean & 41588.1037427371 &  &  \tabularnewline
Winsorized Mean ( 1 / 24 ) & 39512.4027777778 & 1527.85426247498 & 25.8613689461267 \tabularnewline
Winsorized Mean ( 2 / 24 ) & 39481.7916666667 & 1460.7406042973 & 27.0286124384553 \tabularnewline
Winsorized Mean ( 3 / 24 ) & 39556.4583333333 & 1355.81268368113 & 29.1754597146374 \tabularnewline
Winsorized Mean ( 4 / 24 ) & 39412.4027777778 & 1290.10890113352 & 30.5496712278702 \tabularnewline
Winsorized Mean ( 5 / 24 ) & 39579.2083333333 & 1066.32922184718 & 37.1172500222501 \tabularnewline
Winsorized Mean ( 6 / 24 ) & 39590.125 & 1050.35466194031 & 37.6921495515292 \tabularnewline
Winsorized Mean ( 7 / 24 ) & 39265.6944444444 & 965.174004931817 & 40.6825030966497 \tabularnewline
Winsorized Mean ( 8 / 24 ) & 39135.5833333333 & 922.51075771641 & 42.4229018534265 \tabularnewline
Winsorized Mean ( 9 / 24 ) & 39297.5833333333 & 889.359232583424 & 44.1864006057272 \tabularnewline
Winsorized Mean ( 10 / 24 ) & 39315.0833333333 & 878.907533122868 & 44.7317628438591 \tabularnewline
Winsorized Mean ( 11 / 24 ) & 39261.4583333333 & 861.283821728814 & 45.5848087968559 \tabularnewline
Winsorized Mean ( 12 / 24 ) & 39131.7916666667 & 838.805271108496 & 46.6518189793363 \tabularnewline
Winsorized Mean ( 13 / 24 ) & 39016.4166666667 & 811.711114975329 & 48.0668749593906 \tabularnewline
Winsorized Mean ( 14 / 24 ) & 38975.7777777778 & 801.236807835809 & 48.644517321981 \tabularnewline
Winsorized Mean ( 15 / 24 ) & 39014.3194444444 & 782.982393625214 & 49.8278374610799 \tabularnewline
Winsorized Mean ( 16 / 24 ) & 38999.875 & 776.599626591783 & 50.2187660985062 \tabularnewline
Winsorized Mean ( 17 / 24 ) & 39005.7777777778 & 743.603454736473 & 52.4550787510812 \tabularnewline
Winsorized Mean ( 18 / 24 ) & 38785.7777777778 & 673.056745539371 & 57.6263116517699 \tabularnewline
Winsorized Mean ( 19 / 24 ) & 38731.6805555556 & 661.643626633304 & 58.5385833044854 \tabularnewline
Winsorized Mean ( 20 / 24 ) & 38801.4027777778 & 588.601283813262 & 65.9213696008311 \tabularnewline
Winsorized Mean ( 21 / 24 ) & 38847.4861111111 & 551.895678885847 & 70.3891833136571 \tabularnewline
Winsorized Mean ( 22 / 24 ) & 38747.2638888889 & 529.547031606003 & 73.1705808478932 \tabularnewline
Winsorized Mean ( 23 / 24 ) & 38740.5555555556 & 501.383879435177 & 77.2672539835103 \tabularnewline
Winsorized Mean ( 24 / 24 ) & 38924.2222222222 & 472.906281026878 & 82.3085329670425 \tabularnewline
Trimmed Mean ( 1 / 24 ) & 39457.5428571429 & 1417.20497686598 & 27.8418037625013 \tabularnewline
Trimmed Mean ( 2 / 24 ) & 39399.4558823529 & 1280.3158208646 & 30.7732320731195 \tabularnewline
Trimmed Mean ( 3 / 24 ) & 39354.5454545455 & 1157.53092004231 & 33.9986991043894 \tabularnewline
Trimmed Mean ( 4 / 24 ) & 39278.828125 & 1060.00702550707 & 37.0552526349628 \tabularnewline
Trimmed Mean ( 5 / 24 ) & 39240.0483870968 & 966.865896208952 & 40.5847889980975 \tabularnewline
Trimmed Mean ( 6 / 24 ) & 39158.65 & 932.472695356141 & 41.9944199921522 \tabularnewline
Trimmed Mean ( 7 / 24 ) & 39069.3793103448 & 895.035049798367 & 43.6512283168646 \tabularnewline
Trimmed Mean ( 8 / 24 ) & 39033.3214285714 & 872.740786596486 & 44.7249882531485 \tabularnewline
Trimmed Mean ( 9 / 24 ) & 39016.2777777778 & 855.63318649813 & 45.5993039931756 \tabularnewline
Trimmed Mean ( 10 / 24 ) & 38973 & 841.537653000624 & 46.3116532706958 \tabularnewline
Trimmed Mean ( 11 / 24 ) & 38923.74 & 825.626350142108 & 47.1444982264681 \tabularnewline
Trimmed Mean ( 12 / 24 ) & 38877.6875 & 808.9428857077 & 48.059867002833 \tabularnewline
Trimmed Mean ( 13 / 24 ) & 38844.5434782609 & 792.21959620129 & 49.0325456029127 \tabularnewline
Trimmed Mean ( 14 / 24 ) & 38822.9090909091 & 776.170477243484 & 50.0185335943026 \tabularnewline
Trimmed Mean ( 15 / 24 ) & 38804.1904761905 & 756.959086310841 & 51.2632600333907 \tabularnewline
Trimmed Mean ( 16 / 24 ) & 38778.975 & 735.23671444374 & 52.7435236002042 \tabularnewline
Trimmed Mean ( 17 / 24 ) & 38752.8157894737 & 707.137721063494 & 54.8023597598381 \tabularnewline
Trimmed Mean ( 18 / 24 ) & 38723.0555555556 & 677.203070226734 & 57.18086237056 \tabularnewline
Trimmed Mean ( 19 / 24 ) & 38715.6764705882 & 654.936146512146 & 59.1136657776 \tabularnewline
Trimmed Mean ( 20 / 24 ) & 38713.78125 & 626.061554504812 & 61.8370206115291 \tabularnewline
Trimmed Mean ( 21 / 24 ) & 38703.2666666667 & 606.169778071081 & 63.8488886559571 \tabularnewline
Trimmed Mean ( 22 / 24 ) & 38685.6071428571 & 587.19952879057 & 65.8815364217616 \tabularnewline
Trimmed Mean ( 23 / 24 ) & 38677.8461538462 & 564.796147547081 & 68.4810729000626 \tabularnewline
Trimmed Mean ( 24 / 24 ) & 38669.6666666667 & 539.179585670549 & 71.7194561781772 \tabularnewline
Median & 38718 &  &  \tabularnewline
Midrange & 41657 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 38525 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 38723.0555555556 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 38525 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 38723.0555555556 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 38723.0555555556 &  &  \tabularnewline
Midmean - Closest Observation & 38525 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 38723.0555555556 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 38752.8157894737 &  &  \tabularnewline
Number of observations & 72 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=240515&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]39518.6388888889[/C][C]1537.54676230853[/C][C]25.7023980392988[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]36940.6539709685[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]33133.386699464[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]41588.1037427371[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 24 )[/C][C]39512.4027777778[/C][C]1527.85426247498[/C][C]25.8613689461267[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 24 )[/C][C]39481.7916666667[/C][C]1460.7406042973[/C][C]27.0286124384553[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 24 )[/C][C]39556.4583333333[/C][C]1355.81268368113[/C][C]29.1754597146374[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 24 )[/C][C]39412.4027777778[/C][C]1290.10890113352[/C][C]30.5496712278702[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 24 )[/C][C]39579.2083333333[/C][C]1066.32922184718[/C][C]37.1172500222501[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 24 )[/C][C]39590.125[/C][C]1050.35466194031[/C][C]37.6921495515292[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 24 )[/C][C]39265.6944444444[/C][C]965.174004931817[/C][C]40.6825030966497[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 24 )[/C][C]39135.5833333333[/C][C]922.51075771641[/C][C]42.4229018534265[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 24 )[/C][C]39297.5833333333[/C][C]889.359232583424[/C][C]44.1864006057272[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 24 )[/C][C]39315.0833333333[/C][C]878.907533122868[/C][C]44.7317628438591[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 24 )[/C][C]39261.4583333333[/C][C]861.283821728814[/C][C]45.5848087968559[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 24 )[/C][C]39131.7916666667[/C][C]838.805271108496[/C][C]46.6518189793363[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 24 )[/C][C]39016.4166666667[/C][C]811.711114975329[/C][C]48.0668749593906[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 24 )[/C][C]38975.7777777778[/C][C]801.236807835809[/C][C]48.644517321981[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 24 )[/C][C]39014.3194444444[/C][C]782.982393625214[/C][C]49.8278374610799[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 24 )[/C][C]38999.875[/C][C]776.599626591783[/C][C]50.2187660985062[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 24 )[/C][C]39005.7777777778[/C][C]743.603454736473[/C][C]52.4550787510812[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 24 )[/C][C]38785.7777777778[/C][C]673.056745539371[/C][C]57.6263116517699[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 24 )[/C][C]38731.6805555556[/C][C]661.643626633304[/C][C]58.5385833044854[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 24 )[/C][C]38801.4027777778[/C][C]588.601283813262[/C][C]65.9213696008311[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 24 )[/C][C]38847.4861111111[/C][C]551.895678885847[/C][C]70.3891833136571[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 24 )[/C][C]38747.2638888889[/C][C]529.547031606003[/C][C]73.1705808478932[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 24 )[/C][C]38740.5555555556[/C][C]501.383879435177[/C][C]77.2672539835103[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 24 )[/C][C]38924.2222222222[/C][C]472.906281026878[/C][C]82.3085329670425[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 24 )[/C][C]39457.5428571429[/C][C]1417.20497686598[/C][C]27.8418037625013[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 24 )[/C][C]39399.4558823529[/C][C]1280.3158208646[/C][C]30.7732320731195[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 24 )[/C][C]39354.5454545455[/C][C]1157.53092004231[/C][C]33.9986991043894[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 24 )[/C][C]39278.828125[/C][C]1060.00702550707[/C][C]37.0552526349628[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 24 )[/C][C]39240.0483870968[/C][C]966.865896208952[/C][C]40.5847889980975[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 24 )[/C][C]39158.65[/C][C]932.472695356141[/C][C]41.9944199921522[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 24 )[/C][C]39069.3793103448[/C][C]895.035049798367[/C][C]43.6512283168646[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 24 )[/C][C]39033.3214285714[/C][C]872.740786596486[/C][C]44.7249882531485[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 24 )[/C][C]39016.2777777778[/C][C]855.63318649813[/C][C]45.5993039931756[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 24 )[/C][C]38973[/C][C]841.537653000624[/C][C]46.3116532706958[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 24 )[/C][C]38923.74[/C][C]825.626350142108[/C][C]47.1444982264681[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 24 )[/C][C]38877.6875[/C][C]808.9428857077[/C][C]48.059867002833[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 24 )[/C][C]38844.5434782609[/C][C]792.21959620129[/C][C]49.0325456029127[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 24 )[/C][C]38822.9090909091[/C][C]776.170477243484[/C][C]50.0185335943026[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 24 )[/C][C]38804.1904761905[/C][C]756.959086310841[/C][C]51.2632600333907[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 24 )[/C][C]38778.975[/C][C]735.23671444374[/C][C]52.7435236002042[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 24 )[/C][C]38752.8157894737[/C][C]707.137721063494[/C][C]54.8023597598381[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 24 )[/C][C]38723.0555555556[/C][C]677.203070226734[/C][C]57.18086237056[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 24 )[/C][C]38715.6764705882[/C][C]654.936146512146[/C][C]59.1136657776[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 24 )[/C][C]38713.78125[/C][C]626.061554504812[/C][C]61.8370206115291[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 24 )[/C][C]38703.2666666667[/C][C]606.169778071081[/C][C]63.8488886559571[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 24 )[/C][C]38685.6071428571[/C][C]587.19952879057[/C][C]65.8815364217616[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 24 )[/C][C]38677.8461538462[/C][C]564.796147547081[/C][C]68.4810729000626[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 24 )[/C][C]38669.6666666667[/C][C]539.179585670549[/C][C]71.7194561781772[/C][/ROW]
[ROW][C]Median[/C][C]38718[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]41657[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]38525[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]38723.0555555556[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]38525[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]38723.0555555556[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]38723.0555555556[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]38525[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]38723.0555555556[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]38752.8157894737[/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=240515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=240515&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 Mean39518.63888888891537.5467623085325.7023980392988
Geometric Mean36940.6539709685
Harmonic Mean33133.386699464
Quadratic Mean41588.1037427371
Winsorized Mean ( 1 / 24 )39512.40277777781527.8542624749825.8613689461267
Winsorized Mean ( 2 / 24 )39481.79166666671460.740604297327.0286124384553
Winsorized Mean ( 3 / 24 )39556.45833333331355.8126836811329.1754597146374
Winsorized Mean ( 4 / 24 )39412.40277777781290.1089011335230.5496712278702
Winsorized Mean ( 5 / 24 )39579.20833333331066.3292218471837.1172500222501
Winsorized Mean ( 6 / 24 )39590.1251050.3546619403137.6921495515292
Winsorized Mean ( 7 / 24 )39265.6944444444965.17400493181740.6825030966497
Winsorized Mean ( 8 / 24 )39135.5833333333922.5107577164142.4229018534265
Winsorized Mean ( 9 / 24 )39297.5833333333889.35923258342444.1864006057272
Winsorized Mean ( 10 / 24 )39315.0833333333878.90753312286844.7317628438591
Winsorized Mean ( 11 / 24 )39261.4583333333861.28382172881445.5848087968559
Winsorized Mean ( 12 / 24 )39131.7916666667838.80527110849646.6518189793363
Winsorized Mean ( 13 / 24 )39016.4166666667811.71111497532948.0668749593906
Winsorized Mean ( 14 / 24 )38975.7777777778801.23680783580948.644517321981
Winsorized Mean ( 15 / 24 )39014.3194444444782.98239362521449.8278374610799
Winsorized Mean ( 16 / 24 )38999.875776.59962659178350.2187660985062
Winsorized Mean ( 17 / 24 )39005.7777777778743.60345473647352.4550787510812
Winsorized Mean ( 18 / 24 )38785.7777777778673.05674553937157.6263116517699
Winsorized Mean ( 19 / 24 )38731.6805555556661.64362663330458.5385833044854
Winsorized Mean ( 20 / 24 )38801.4027777778588.60128381326265.9213696008311
Winsorized Mean ( 21 / 24 )38847.4861111111551.89567888584770.3891833136571
Winsorized Mean ( 22 / 24 )38747.2638888889529.54703160600373.1705808478932
Winsorized Mean ( 23 / 24 )38740.5555555556501.38387943517777.2672539835103
Winsorized Mean ( 24 / 24 )38924.2222222222472.90628102687882.3085329670425
Trimmed Mean ( 1 / 24 )39457.54285714291417.2049768659827.8418037625013
Trimmed Mean ( 2 / 24 )39399.45588235291280.315820864630.7732320731195
Trimmed Mean ( 3 / 24 )39354.54545454551157.5309200423133.9986991043894
Trimmed Mean ( 4 / 24 )39278.8281251060.0070255070737.0552526349628
Trimmed Mean ( 5 / 24 )39240.0483870968966.86589620895240.5847889980975
Trimmed Mean ( 6 / 24 )39158.65932.47269535614141.9944199921522
Trimmed Mean ( 7 / 24 )39069.3793103448895.03504979836743.6512283168646
Trimmed Mean ( 8 / 24 )39033.3214285714872.74078659648644.7249882531485
Trimmed Mean ( 9 / 24 )39016.2777777778855.6331864981345.5993039931756
Trimmed Mean ( 10 / 24 )38973841.53765300062446.3116532706958
Trimmed Mean ( 11 / 24 )38923.74825.62635014210847.1444982264681
Trimmed Mean ( 12 / 24 )38877.6875808.942885707748.059867002833
Trimmed Mean ( 13 / 24 )38844.5434782609792.2195962012949.0325456029127
Trimmed Mean ( 14 / 24 )38822.9090909091776.17047724348450.0185335943026
Trimmed Mean ( 15 / 24 )38804.1904761905756.95908631084151.2632600333907
Trimmed Mean ( 16 / 24 )38778.975735.2367144437452.7435236002042
Trimmed Mean ( 17 / 24 )38752.8157894737707.13772106349454.8023597598381
Trimmed Mean ( 18 / 24 )38723.0555555556677.20307022673457.18086237056
Trimmed Mean ( 19 / 24 )38715.6764705882654.93614651214659.1136657776
Trimmed Mean ( 20 / 24 )38713.78125626.06155450481261.8370206115291
Trimmed Mean ( 21 / 24 )38703.2666666667606.16977807108163.8488886559571
Trimmed Mean ( 22 / 24 )38685.6071428571587.1995287905765.8815364217616
Trimmed Mean ( 23 / 24 )38677.8461538462564.79614754708168.4810729000626
Trimmed Mean ( 24 / 24 )38669.6666666667539.17958567054971.7194561781772
Median38718
Midrange41657
Midmean - Weighted Average at Xnp38525
Midmean - Weighted Average at X(n+1)p38723.0555555556
Midmean - Empirical Distribution Function38525
Midmean - Empirical Distribution Function - Averaging38723.0555555556
Midmean - Empirical Distribution Function - Interpolation38723.0555555556
Midmean - Closest Observation38525
Midmean - True Basic - Statistics Graphics Toolkit38723.0555555556
Midmean - MS Excel (old versions)38752.8157894737
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')