Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationTue, 25 Dec 2007 06:03:57 -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/25/t1198586679rziojfjhpfdqj7p.htm/, Retrieved Fri, 03 May 2024 18:22:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4888, Retrieved Fri, 03 May 2024 18:22:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKlaas Van Pelt
Estimated Impact247
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [RES CT 1] [2007-12-25 13:03:57] [6abd901c2e17b7d5559c695bbff3d863] [Current]
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Dataseries X:
-91.1475791030107 
3190.42180503223 
185.862605252137 
1550.17928222182 
-4051.53466892196 
-4004.1469034324 
-2204.90421033094 
-3175.02179676197 
1617.67360074152 
-2295.61084112079 
-2267.28881152434 
-178.308096584080 
-2907.55001941824 
-1216.53734921381 
48.5092400249178 
-1514.62908371032 
-1870.08923636928 
1737.07276264525 
1322.68307094671 
1531.26030628704 
3529.536136408 
1083.53779125802 
114.816768829857 
4962.3367137392 
-4410.15761457681 
-705.030349962284 
5667.18502395077 
1692.68355190490 
-385.471443157229 
2226.52946084297 
-2876.4779008572 
1925.6448223277 
-163.367556720991 
-438.55153453541 
3334.65989098450 
982.184861050696 
1029.03345213034 
-513.875854018738 
-2510.83330372982 
-40.1510898266841 
706.29012138126 
2780.73665444619 
-1915.73938576603 
461.574896705557 
-194.41601170322 
-4379.00588135181 
401.364395856297 
-3520.92308360079 
4320.31714492519 
1061.20811234363 
918.831327257089 
-3585.968081328 
5000.39576505044 
-1487.92693874835 
1216.74262983933 
99.3537263031683 
-1778.52956044609 
1253.83574142802 
-636.914399484525 
-1370.94420414171 
829.700192929427 
1312.98017076556 
1055.28939393764 
1642.24197042200 
243.858906129592 
-162.001034384922 
1636.89305297192 
-431.237688133459 




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

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4888&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4888&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4888&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean79.2519681809658276.3699261937320.286760463674370
Geometric MeanNaN
Harmonic Mean-9329.34987783875
Quadratic Mean2263.57314736029
Winsorized Mean ( 1 / 22 )69.9043575092698273.4589652604470.255630154391507
Winsorized Mean ( 2 / 22 )78.4164798951112270.8922110246210.289474841666762
Winsorized Mean ( 3 / 22 )52.1827238660914263.1693342843470.198285731154791
Winsorized Mean ( 4 / 22 )30.2649481947508247.0797913735480.122490585031273
Winsorized Mean ( 5 / 22 )20.7185329229648243.0644776912510.0852388350603914
Winsorized Mean ( 6 / 22 )38.5123447658957234.0404329346040.164554236560727
Winsorized Mean ( 7 / 22 )23.8727328144814220.2960037226750.108366617691958
Winsorized Mean ( 8 / 22 )-37.6725701316574208.156836384076-0.180981661645485
Winsorized Mean ( 9 / 22 )-29.1013991388782192.298242510256-0.151334711950506
Winsorized Mean ( 10 / 22 )-25.1822222379105182.195675206563-0.138215257905328
Winsorized Mean ( 11 / 22 )-27.7813250700120180.315327187289-0.154070790893756
Winsorized Mean ( 12 / 22 )-25.6737333563943177.023682511853-0.145029936063359
Winsorized Mean ( 13 / 22 )28.5851900626173166.9881648755490.171180934193277
Winsorized Mean ( 14 / 22 )34.0268041851011164.7928582128310.206482274499756
Winsorized Mean ( 15 / 22 )39.3353389064592159.2075988796130.247069481502596
Winsorized Mean ( 16 / 22 )96.9780449772804148.2329885400770.654227145606396
Winsorized Mean ( 17 / 22 )51.5092723826903139.8337619320100.368360771182964
Winsorized Mean ( 18 / 22 )79.9068756129671134.4449057768350.594346622144273
Winsorized Mean ( 19 / 22 )106.524318057332125.3080630520700.850099470558948
Winsorized Mean ( 20 / 22 )246.057814428755101.2462766115772.43029000832036
Winsorized Mean ( 21 / 22 )225.95683427912992.51358005343292.44241801202184
Winsorized Mean ( 22 / 22 )258.53911463399386.07075931167573.00379730237748
Trimmed Mean ( 1 / 22 )62.607673135329262.9360549173970.23810988247693
Trimmed Mean ( 2 / 22 )54.854945988017250.2365963732470.219212324588194
Trimmed Mean ( 3 / 22 )41.9341048131588236.4917660935340.177317398850045
Trimmed Mean ( 4 / 22 )38.0624042820509223.5087479609190.170294919681203
Trimmed Mean ( 5 / 22 )40.3478655490182214.0840441490960.188467411055251
Trimmed Mean ( 6 / 22 )45.114989186774203.846217830130.221318745410177
Trimmed Mean ( 7 / 22 )46.5007293738719194.0067830695110.239686100857675
Trimmed Mean ( 8 / 22 )50.7279375223295185.7664946610480.273073664951736
Trimmed Mean ( 9 / 22 )65.7560238235073178.6621881932340.368046672261666
Trimmed Mean ( 10 / 22 )80.6872848453643173.7362356175470.464424042333831
Trimmed Mean ( 11 / 22 )96.3375598055005169.8166989005200.567303218289128
Trimmed Mean ( 12 / 22 )113.775750242556165.0575402675120.689309619288871
Trimmed Mean ( 13 / 22 )132.590363109081159.5185096869920.83119108477913
Trimmed Mean ( 14 / 22 )146.191039584388154.7377813314090.94476628995529
Trimmed Mean ( 15 / 22 )160.527821552718148.7593084702121.07911110372540
Trimmed Mean ( 16 / 22 )175.789097145210142.0216316026731.23776283346051
Trimmed Mean ( 17 / 22 )185.640478666201135.8811795053371.366197138868
Trimmed Mean ( 18 / 22 )202.406879451640129.4123519376401.56404606222730
Trimmed Mean ( 19 / 22 )217.832805860954121.7573946186871.78907249570468
Trimmed Mean ( 20 / 22 )232.060206557657113.6296510345382.04225045527177
Trimmed Mean ( 21 / 22 )230.229750143745110.3380684746242.08658492328686
Trimmed Mean ( 22 / 22 )230.806254665161107.9564501795002.13795705843789
Median107.085247566513
Midrange628.51370468698
Midmean - Weighted Average at Xnp137.061348312586
Midmean - Weighted Average at X(n+1)p185.640478666201
Midmean - Empirical Distribution Function137.061348312586
Midmean - Empirical Distribution Function - Averaging185.640478666201
Midmean - Empirical Distribution Function - Interpolation185.640478666201
Midmean - Closest Observation137.061348312586
Midmean - True Basic - Statistics Graphics Toolkit185.640478666201
Midmean - MS Excel (old versions)175.789097145210
Number of observations68

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 79.2519681809658 & 276.369926193732 & 0.286760463674370 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & -9329.34987783875 &  &  \tabularnewline
Quadratic Mean & 2263.57314736029 &  &  \tabularnewline
Winsorized Mean ( 1 / 22 ) & 69.9043575092698 & 273.458965260447 & 0.255630154391507 \tabularnewline
Winsorized Mean ( 2 / 22 ) & 78.4164798951112 & 270.892211024621 & 0.289474841666762 \tabularnewline
Winsorized Mean ( 3 / 22 ) & 52.1827238660914 & 263.169334284347 & 0.198285731154791 \tabularnewline
Winsorized Mean ( 4 / 22 ) & 30.2649481947508 & 247.079791373548 & 0.122490585031273 \tabularnewline
Winsorized Mean ( 5 / 22 ) & 20.7185329229648 & 243.064477691251 & 0.0852388350603914 \tabularnewline
Winsorized Mean ( 6 / 22 ) & 38.5123447658957 & 234.040432934604 & 0.164554236560727 \tabularnewline
Winsorized Mean ( 7 / 22 ) & 23.8727328144814 & 220.296003722675 & 0.108366617691958 \tabularnewline
Winsorized Mean ( 8 / 22 ) & -37.6725701316574 & 208.156836384076 & -0.180981661645485 \tabularnewline
Winsorized Mean ( 9 / 22 ) & -29.1013991388782 & 192.298242510256 & -0.151334711950506 \tabularnewline
Winsorized Mean ( 10 / 22 ) & -25.1822222379105 & 182.195675206563 & -0.138215257905328 \tabularnewline
Winsorized Mean ( 11 / 22 ) & -27.7813250700120 & 180.315327187289 & -0.154070790893756 \tabularnewline
Winsorized Mean ( 12 / 22 ) & -25.6737333563943 & 177.023682511853 & -0.145029936063359 \tabularnewline
Winsorized Mean ( 13 / 22 ) & 28.5851900626173 & 166.988164875549 & 0.171180934193277 \tabularnewline
Winsorized Mean ( 14 / 22 ) & 34.0268041851011 & 164.792858212831 & 0.206482274499756 \tabularnewline
Winsorized Mean ( 15 / 22 ) & 39.3353389064592 & 159.207598879613 & 0.247069481502596 \tabularnewline
Winsorized Mean ( 16 / 22 ) & 96.9780449772804 & 148.232988540077 & 0.654227145606396 \tabularnewline
Winsorized Mean ( 17 / 22 ) & 51.5092723826903 & 139.833761932010 & 0.368360771182964 \tabularnewline
Winsorized Mean ( 18 / 22 ) & 79.9068756129671 & 134.444905776835 & 0.594346622144273 \tabularnewline
Winsorized Mean ( 19 / 22 ) & 106.524318057332 & 125.308063052070 & 0.850099470558948 \tabularnewline
Winsorized Mean ( 20 / 22 ) & 246.057814428755 & 101.246276611577 & 2.43029000832036 \tabularnewline
Winsorized Mean ( 21 / 22 ) & 225.956834279129 & 92.5135800534329 & 2.44241801202184 \tabularnewline
Winsorized Mean ( 22 / 22 ) & 258.539114633993 & 86.0707593116757 & 3.00379730237748 \tabularnewline
Trimmed Mean ( 1 / 22 ) & 62.607673135329 & 262.936054917397 & 0.23810988247693 \tabularnewline
Trimmed Mean ( 2 / 22 ) & 54.854945988017 & 250.236596373247 & 0.219212324588194 \tabularnewline
Trimmed Mean ( 3 / 22 ) & 41.9341048131588 & 236.491766093534 & 0.177317398850045 \tabularnewline
Trimmed Mean ( 4 / 22 ) & 38.0624042820509 & 223.508747960919 & 0.170294919681203 \tabularnewline
Trimmed Mean ( 5 / 22 ) & 40.3478655490182 & 214.084044149096 & 0.188467411055251 \tabularnewline
Trimmed Mean ( 6 / 22 ) & 45.114989186774 & 203.84621783013 & 0.221318745410177 \tabularnewline
Trimmed Mean ( 7 / 22 ) & 46.5007293738719 & 194.006783069511 & 0.239686100857675 \tabularnewline
Trimmed Mean ( 8 / 22 ) & 50.7279375223295 & 185.766494661048 & 0.273073664951736 \tabularnewline
Trimmed Mean ( 9 / 22 ) & 65.7560238235073 & 178.662188193234 & 0.368046672261666 \tabularnewline
Trimmed Mean ( 10 / 22 ) & 80.6872848453643 & 173.736235617547 & 0.464424042333831 \tabularnewline
Trimmed Mean ( 11 / 22 ) & 96.3375598055005 & 169.816698900520 & 0.567303218289128 \tabularnewline
Trimmed Mean ( 12 / 22 ) & 113.775750242556 & 165.057540267512 & 0.689309619288871 \tabularnewline
Trimmed Mean ( 13 / 22 ) & 132.590363109081 & 159.518509686992 & 0.83119108477913 \tabularnewline
Trimmed Mean ( 14 / 22 ) & 146.191039584388 & 154.737781331409 & 0.94476628995529 \tabularnewline
Trimmed Mean ( 15 / 22 ) & 160.527821552718 & 148.759308470212 & 1.07911110372540 \tabularnewline
Trimmed Mean ( 16 / 22 ) & 175.789097145210 & 142.021631602673 & 1.23776283346051 \tabularnewline
Trimmed Mean ( 17 / 22 ) & 185.640478666201 & 135.881179505337 & 1.366197138868 \tabularnewline
Trimmed Mean ( 18 / 22 ) & 202.406879451640 & 129.412351937640 & 1.56404606222730 \tabularnewline
Trimmed Mean ( 19 / 22 ) & 217.832805860954 & 121.757394618687 & 1.78907249570468 \tabularnewline
Trimmed Mean ( 20 / 22 ) & 232.060206557657 & 113.629651034538 & 2.04225045527177 \tabularnewline
Trimmed Mean ( 21 / 22 ) & 230.229750143745 & 110.338068474624 & 2.08658492328686 \tabularnewline
Trimmed Mean ( 22 / 22 ) & 230.806254665161 & 107.956450179500 & 2.13795705843789 \tabularnewline
Median & 107.085247566513 &  &  \tabularnewline
Midrange & 628.51370468698 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 137.061348312586 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 185.640478666201 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 137.061348312586 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 185.640478666201 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 185.640478666201 &  &  \tabularnewline
Midmean - Closest Observation & 137.061348312586 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 185.640478666201 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 175.789097145210 &  &  \tabularnewline
Number of observations & 68 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4888&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]79.2519681809658[/C][C]276.369926193732[/C][C]0.286760463674370[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]-9329.34987783875[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]2263.57314736029[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 22 )[/C][C]69.9043575092698[/C][C]273.458965260447[/C][C]0.255630154391507[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 22 )[/C][C]78.4164798951112[/C][C]270.892211024621[/C][C]0.289474841666762[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 22 )[/C][C]52.1827238660914[/C][C]263.169334284347[/C][C]0.198285731154791[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 22 )[/C][C]30.2649481947508[/C][C]247.079791373548[/C][C]0.122490585031273[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 22 )[/C][C]20.7185329229648[/C][C]243.064477691251[/C][C]0.0852388350603914[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 22 )[/C][C]38.5123447658957[/C][C]234.040432934604[/C][C]0.164554236560727[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 22 )[/C][C]23.8727328144814[/C][C]220.296003722675[/C][C]0.108366617691958[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 22 )[/C][C]-37.6725701316574[/C][C]208.156836384076[/C][C]-0.180981661645485[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 22 )[/C][C]-29.1013991388782[/C][C]192.298242510256[/C][C]-0.151334711950506[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 22 )[/C][C]-25.1822222379105[/C][C]182.195675206563[/C][C]-0.138215257905328[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 22 )[/C][C]-27.7813250700120[/C][C]180.315327187289[/C][C]-0.154070790893756[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 22 )[/C][C]-25.6737333563943[/C][C]177.023682511853[/C][C]-0.145029936063359[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 22 )[/C][C]28.5851900626173[/C][C]166.988164875549[/C][C]0.171180934193277[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 22 )[/C][C]34.0268041851011[/C][C]164.792858212831[/C][C]0.206482274499756[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 22 )[/C][C]39.3353389064592[/C][C]159.207598879613[/C][C]0.247069481502596[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 22 )[/C][C]96.9780449772804[/C][C]148.232988540077[/C][C]0.654227145606396[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 22 )[/C][C]51.5092723826903[/C][C]139.833761932010[/C][C]0.368360771182964[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 22 )[/C][C]79.9068756129671[/C][C]134.444905776835[/C][C]0.594346622144273[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 22 )[/C][C]106.524318057332[/C][C]125.308063052070[/C][C]0.850099470558948[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 22 )[/C][C]246.057814428755[/C][C]101.246276611577[/C][C]2.43029000832036[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 22 )[/C][C]225.956834279129[/C][C]92.5135800534329[/C][C]2.44241801202184[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 22 )[/C][C]258.539114633993[/C][C]86.0707593116757[/C][C]3.00379730237748[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 22 )[/C][C]62.607673135329[/C][C]262.936054917397[/C][C]0.23810988247693[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 22 )[/C][C]54.854945988017[/C][C]250.236596373247[/C][C]0.219212324588194[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 22 )[/C][C]41.9341048131588[/C][C]236.491766093534[/C][C]0.177317398850045[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 22 )[/C][C]38.0624042820509[/C][C]223.508747960919[/C][C]0.170294919681203[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 22 )[/C][C]40.3478655490182[/C][C]214.084044149096[/C][C]0.188467411055251[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 22 )[/C][C]45.114989186774[/C][C]203.84621783013[/C][C]0.221318745410177[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 22 )[/C][C]46.5007293738719[/C][C]194.006783069511[/C][C]0.239686100857675[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 22 )[/C][C]50.7279375223295[/C][C]185.766494661048[/C][C]0.273073664951736[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 22 )[/C][C]65.7560238235073[/C][C]178.662188193234[/C][C]0.368046672261666[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 22 )[/C][C]80.6872848453643[/C][C]173.736235617547[/C][C]0.464424042333831[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 22 )[/C][C]96.3375598055005[/C][C]169.816698900520[/C][C]0.567303218289128[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 22 )[/C][C]113.775750242556[/C][C]165.057540267512[/C][C]0.689309619288871[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 22 )[/C][C]132.590363109081[/C][C]159.518509686992[/C][C]0.83119108477913[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 22 )[/C][C]146.191039584388[/C][C]154.737781331409[/C][C]0.94476628995529[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 22 )[/C][C]160.527821552718[/C][C]148.759308470212[/C][C]1.07911110372540[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 22 )[/C][C]175.789097145210[/C][C]142.021631602673[/C][C]1.23776283346051[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 22 )[/C][C]185.640478666201[/C][C]135.881179505337[/C][C]1.366197138868[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 22 )[/C][C]202.406879451640[/C][C]129.412351937640[/C][C]1.56404606222730[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 22 )[/C][C]217.832805860954[/C][C]121.757394618687[/C][C]1.78907249570468[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 22 )[/C][C]232.060206557657[/C][C]113.629651034538[/C][C]2.04225045527177[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 22 )[/C][C]230.229750143745[/C][C]110.338068474624[/C][C]2.08658492328686[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 22 )[/C][C]230.806254665161[/C][C]107.956450179500[/C][C]2.13795705843789[/C][/ROW]
[ROW][C]Median[/C][C]107.085247566513[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]628.51370468698[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]137.061348312586[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]185.640478666201[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]137.061348312586[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]185.640478666201[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]185.640478666201[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]137.061348312586[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]185.640478666201[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]175.789097145210[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]68[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4888&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4888&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 Mean79.2519681809658276.3699261937320.286760463674370
Geometric MeanNaN
Harmonic Mean-9329.34987783875
Quadratic Mean2263.57314736029
Winsorized Mean ( 1 / 22 )69.9043575092698273.4589652604470.255630154391507
Winsorized Mean ( 2 / 22 )78.4164798951112270.8922110246210.289474841666762
Winsorized Mean ( 3 / 22 )52.1827238660914263.1693342843470.198285731154791
Winsorized Mean ( 4 / 22 )30.2649481947508247.0797913735480.122490585031273
Winsorized Mean ( 5 / 22 )20.7185329229648243.0644776912510.0852388350603914
Winsorized Mean ( 6 / 22 )38.5123447658957234.0404329346040.164554236560727
Winsorized Mean ( 7 / 22 )23.8727328144814220.2960037226750.108366617691958
Winsorized Mean ( 8 / 22 )-37.6725701316574208.156836384076-0.180981661645485
Winsorized Mean ( 9 / 22 )-29.1013991388782192.298242510256-0.151334711950506
Winsorized Mean ( 10 / 22 )-25.1822222379105182.195675206563-0.138215257905328
Winsorized Mean ( 11 / 22 )-27.7813250700120180.315327187289-0.154070790893756
Winsorized Mean ( 12 / 22 )-25.6737333563943177.023682511853-0.145029936063359
Winsorized Mean ( 13 / 22 )28.5851900626173166.9881648755490.171180934193277
Winsorized Mean ( 14 / 22 )34.0268041851011164.7928582128310.206482274499756
Winsorized Mean ( 15 / 22 )39.3353389064592159.2075988796130.247069481502596
Winsorized Mean ( 16 / 22 )96.9780449772804148.2329885400770.654227145606396
Winsorized Mean ( 17 / 22 )51.5092723826903139.8337619320100.368360771182964
Winsorized Mean ( 18 / 22 )79.9068756129671134.4449057768350.594346622144273
Winsorized Mean ( 19 / 22 )106.524318057332125.3080630520700.850099470558948
Winsorized Mean ( 20 / 22 )246.057814428755101.2462766115772.43029000832036
Winsorized Mean ( 21 / 22 )225.95683427912992.51358005343292.44241801202184
Winsorized Mean ( 22 / 22 )258.53911463399386.07075931167573.00379730237748
Trimmed Mean ( 1 / 22 )62.607673135329262.9360549173970.23810988247693
Trimmed Mean ( 2 / 22 )54.854945988017250.2365963732470.219212324588194
Trimmed Mean ( 3 / 22 )41.9341048131588236.4917660935340.177317398850045
Trimmed Mean ( 4 / 22 )38.0624042820509223.5087479609190.170294919681203
Trimmed Mean ( 5 / 22 )40.3478655490182214.0840441490960.188467411055251
Trimmed Mean ( 6 / 22 )45.114989186774203.846217830130.221318745410177
Trimmed Mean ( 7 / 22 )46.5007293738719194.0067830695110.239686100857675
Trimmed Mean ( 8 / 22 )50.7279375223295185.7664946610480.273073664951736
Trimmed Mean ( 9 / 22 )65.7560238235073178.6621881932340.368046672261666
Trimmed Mean ( 10 / 22 )80.6872848453643173.7362356175470.464424042333831
Trimmed Mean ( 11 / 22 )96.3375598055005169.8166989005200.567303218289128
Trimmed Mean ( 12 / 22 )113.775750242556165.0575402675120.689309619288871
Trimmed Mean ( 13 / 22 )132.590363109081159.5185096869920.83119108477913
Trimmed Mean ( 14 / 22 )146.191039584388154.7377813314090.94476628995529
Trimmed Mean ( 15 / 22 )160.527821552718148.7593084702121.07911110372540
Trimmed Mean ( 16 / 22 )175.789097145210142.0216316026731.23776283346051
Trimmed Mean ( 17 / 22 )185.640478666201135.8811795053371.366197138868
Trimmed Mean ( 18 / 22 )202.406879451640129.4123519376401.56404606222730
Trimmed Mean ( 19 / 22 )217.832805860954121.7573946186871.78907249570468
Trimmed Mean ( 20 / 22 )232.060206557657113.6296510345382.04225045527177
Trimmed Mean ( 21 / 22 )230.229750143745110.3380684746242.08658492328686
Trimmed Mean ( 22 / 22 )230.806254665161107.9564501795002.13795705843789
Median107.085247566513
Midrange628.51370468698
Midmean - Weighted Average at Xnp137.061348312586
Midmean - Weighted Average at X(n+1)p185.640478666201
Midmean - Empirical Distribution Function137.061348312586
Midmean - Empirical Distribution Function - Averaging185.640478666201
Midmean - Empirical Distribution Function - Interpolation185.640478666201
Midmean - Closest Observation137.061348312586
Midmean - True Basic - Statistics Graphics Toolkit185.640478666201
Midmean - MS Excel (old versions)175.789097145210
Number of observations68



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
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')