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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationThu, 28 Feb 2013 07:08:12 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/28/t1362053349jp0xkw5vbm1kgw4.htm/, Retrieved Wed, 01 May 2024 16:41:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207188, Retrieved Wed, 01 May 2024 16:41:13 +0000
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Original text written by user:Centrummaten gem farma consumptieprijzen
IsPrivate?No (this computation is public)
User-defined keywordsCentrummaten gem farma consumptieprijzen
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2013-02-28 12:08:12] [0941a6a4eb2aa1312aa94e558e86fae5] [Current]
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Dataseries X:
 105,71 
 105,82 
 105,82 
 105,72 
 105,76 
 105,80 
 105,09 
 105,06 
 105,16 
 105,20 
 105,21 
 105,23 
 105,19 
 105,16 
 104,88 
 104,52 
 104,09 
 104,35 
 104,48 
 104,47 
 104,55 
 104,59 
 104,59 
 104,72 
 104,65 
 104,72 
 104,92 
 105,05 
 103,74 
 103,81 
 103,79 
 104,28 
 103,80 
 103,80 
 104,02 
 104,02 
 104,91 
 104,97 
 103,86 
 104,17 
 103,21 
 103,21 
 101,91 
 101,84 
 101,91 
 101,79 
 101,79 
 101,79 
 102,09 
 102,18 
 102,20 
 101,97 
 102,05 
 102,04 
 101,78 
 101,79 
 101,80 
 101,83 
 101,83 
 101,88 
 101,90 
 101,91 
 101,17 
 101,17 
 101,23 
 101,26 
 101,49 
 101,51 
 101,61 
 101,39 
 101,43 
 101,44 




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207188&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207188&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207188&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean103.4455555555560.184332200890587561.190909975393
Geometric Mean103.433887464405
Harmonic Mean103.422213255928
Quadratic Mean103.457215445699
Winsorized Mean ( 1 / 24 )103.4455555555560.184332200890587561.190909975393
Winsorized Mean ( 2 / 24 )103.4466666666670.183945414438517562.37698005374
Winsorized Mean ( 3 / 24 )103.446250.183436210731873563.935820453718
Winsorized Mean ( 4 / 24 )103.451250.181860810408083568.848504347157
Winsorized Mean ( 5 / 24 )103.4533333333330.18129889119882570.623089028613
Winsorized Mean ( 6 / 24 )103.4141666666670.17472264517988591.876150685563
Winsorized Mean ( 7 / 24 )103.4170833333330.173672298294333595.472532747084
Winsorized Mean ( 8 / 24 )103.4181944444440.173164906251234597.223748641087
Winsorized Mean ( 9 / 24 )103.4294444444440.171077306479293604.577232205625
Winsorized Mean ( 10 / 24 )103.4488888888890.167043887146471619.291676313666
Winsorized Mean ( 11 / 24 )103.4504166666670.166829314709612620.097354273351
Winsorized Mean ( 12 / 24 )103.438750.16516588823881626.271871891851
Winsorized Mean ( 13 / 24 )103.4333333333330.164407100928399629.129354810409
Winsorized Mean ( 14 / 24 )103.4313888888890.164136583067988630.154393101056
Winsorized Mean ( 15 / 24 )103.4168055555560.161556981617708640.125883264336
Winsorized Mean ( 16 / 24 )103.4123611111110.159126564160667649.874907163191
Winsorized Mean ( 17 / 24 )103.410.158811977292191651.147361572992
Winsorized Mean ( 18 / 24 )103.4050.157468232134152656.672133792077
Winsorized Mean ( 19 / 24 )103.3733333333330.15054426558273686.664038202941
Winsorized Mean ( 20 / 24 )103.3788888888890.149769848937773690.251673631863
Winsorized Mean ( 21 / 24 )103.3613888888890.146814280384126704.028168230319
Winsorized Mean ( 22 / 24 )103.3430555555560.144567326898603714.843787822392
Winsorized Mean ( 23 / 24 )103.3430555555560.144567326898603714.843787822392
Winsorized Mean ( 24 / 24 )103.3497222222220.140170638829659737.313627769199
Trimmed Mean ( 1 / 24 )103.4441428571430.183637672429394563.305674095361
Trimmed Mean ( 2 / 24 )103.4426470588240.182693078934972566.209993623474
Trimmed Mean ( 3 / 24 )103.4404545454550.181685508120454569.337948940186
Trimmed Mean ( 4 / 24 )103.438281250.180577440556871572.819511291185
Trimmed Mean ( 5 / 24 )103.4345161290320.179659569581819575.725058062811
Trimmed Mean ( 6 / 24 )103.430.178566640775202579.223529943693
Trimmed Mean ( 7 / 24 )103.4332758620690.178787234591668578.527186788812
Trimmed Mean ( 8 / 24 )103.436250.179050809465162577.692166312856
Trimmed Mean ( 9 / 24 )103.4392592592590.179213837942616577.183438772067
Trimmed Mean ( 10 / 24 )103.4407692307690.179564129163345576.065886392441
Trimmed Mean ( 11 / 24 )103.43960.180470125290722573.167441610447
Trimmed Mean ( 12 / 24 )103.4381250.181251230431138570.689229275599
Trimmed Mean ( 13 / 24 )103.4380434782610.182135910278738567.916800810784
Trimmed Mean ( 14 / 24 )103.4386363636360.182943859417679565.411906652061
Trimmed Mean ( 15 / 24 )103.4395238095240.183538250713958563.585647172442
Trimmed Mean ( 16 / 24 )103.442250.184281518022333561.32731654329
Trimmed Mean ( 17 / 24 )103.4457894736840.185140610736285558.741753428872
Trimmed Mean ( 18 / 24 )103.450.185673805111981557.159907061789
Trimmed Mean ( 19 / 24 )103.4552941176470.185960547870698556.329260707391
Trimmed Mean ( 20 / 24 )103.4650.187072631228725553.073954861403
Trimmed Mean ( 21 / 24 )103.4753333333330.18781485951846550.943272532508
Trimmed Mean ( 22 / 24 )103.4892857142860.188467734436583549.108769326819
Trimmed Mean ( 23 / 24 )103.5076923076920.188674165768402548.605538474984
Trimmed Mean ( 24 / 24 )103.5291666666670.187487117109751552.193496079322
Median103.805
Midrange103.495
Midmean - Weighted Average at Xnp103.364736842105
Midmean - Weighted Average at X(n+1)p103.45
Midmean - Empirical Distribution Function103.364736842105
Midmean - Empirical Distribution Function - Averaging103.45
Midmean - Empirical Distribution Function - Interpolation103.45
Midmean - Closest Observation103.364736842105
Midmean - True Basic - Statistics Graphics Toolkit103.45
Midmean - MS Excel (old versions)103.404358974359
Number of observations72

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 103.445555555556 & 0.184332200890587 & 561.190909975393 \tabularnewline
Geometric Mean & 103.433887464405 &  &  \tabularnewline
Harmonic Mean & 103.422213255928 &  &  \tabularnewline
Quadratic Mean & 103.457215445699 &  &  \tabularnewline
Winsorized Mean ( 1 / 24 ) & 103.445555555556 & 0.184332200890587 & 561.190909975393 \tabularnewline
Winsorized Mean ( 2 / 24 ) & 103.446666666667 & 0.183945414438517 & 562.37698005374 \tabularnewline
Winsorized Mean ( 3 / 24 ) & 103.44625 & 0.183436210731873 & 563.935820453718 \tabularnewline
Winsorized Mean ( 4 / 24 ) & 103.45125 & 0.181860810408083 & 568.848504347157 \tabularnewline
Winsorized Mean ( 5 / 24 ) & 103.453333333333 & 0.18129889119882 & 570.623089028613 \tabularnewline
Winsorized Mean ( 6 / 24 ) & 103.414166666667 & 0.17472264517988 & 591.876150685563 \tabularnewline
Winsorized Mean ( 7 / 24 ) & 103.417083333333 & 0.173672298294333 & 595.472532747084 \tabularnewline
Winsorized Mean ( 8 / 24 ) & 103.418194444444 & 0.173164906251234 & 597.223748641087 \tabularnewline
Winsorized Mean ( 9 / 24 ) & 103.429444444444 & 0.171077306479293 & 604.577232205625 \tabularnewline
Winsorized Mean ( 10 / 24 ) & 103.448888888889 & 0.167043887146471 & 619.291676313666 \tabularnewline
Winsorized Mean ( 11 / 24 ) & 103.450416666667 & 0.166829314709612 & 620.097354273351 \tabularnewline
Winsorized Mean ( 12 / 24 ) & 103.43875 & 0.16516588823881 & 626.271871891851 \tabularnewline
Winsorized Mean ( 13 / 24 ) & 103.433333333333 & 0.164407100928399 & 629.129354810409 \tabularnewline
Winsorized Mean ( 14 / 24 ) & 103.431388888889 & 0.164136583067988 & 630.154393101056 \tabularnewline
Winsorized Mean ( 15 / 24 ) & 103.416805555556 & 0.161556981617708 & 640.125883264336 \tabularnewline
Winsorized Mean ( 16 / 24 ) & 103.412361111111 & 0.159126564160667 & 649.874907163191 \tabularnewline
Winsorized Mean ( 17 / 24 ) & 103.41 & 0.158811977292191 & 651.147361572992 \tabularnewline
Winsorized Mean ( 18 / 24 ) & 103.405 & 0.157468232134152 & 656.672133792077 \tabularnewline
Winsorized Mean ( 19 / 24 ) & 103.373333333333 & 0.15054426558273 & 686.664038202941 \tabularnewline
Winsorized Mean ( 20 / 24 ) & 103.378888888889 & 0.149769848937773 & 690.251673631863 \tabularnewline
Winsorized Mean ( 21 / 24 ) & 103.361388888889 & 0.146814280384126 & 704.028168230319 \tabularnewline
Winsorized Mean ( 22 / 24 ) & 103.343055555556 & 0.144567326898603 & 714.843787822392 \tabularnewline
Winsorized Mean ( 23 / 24 ) & 103.343055555556 & 0.144567326898603 & 714.843787822392 \tabularnewline
Winsorized Mean ( 24 / 24 ) & 103.349722222222 & 0.140170638829659 & 737.313627769199 \tabularnewline
Trimmed Mean ( 1 / 24 ) & 103.444142857143 & 0.183637672429394 & 563.305674095361 \tabularnewline
Trimmed Mean ( 2 / 24 ) & 103.442647058824 & 0.182693078934972 & 566.209993623474 \tabularnewline
Trimmed Mean ( 3 / 24 ) & 103.440454545455 & 0.181685508120454 & 569.337948940186 \tabularnewline
Trimmed Mean ( 4 / 24 ) & 103.43828125 & 0.180577440556871 & 572.819511291185 \tabularnewline
Trimmed Mean ( 5 / 24 ) & 103.434516129032 & 0.179659569581819 & 575.725058062811 \tabularnewline
Trimmed Mean ( 6 / 24 ) & 103.43 & 0.178566640775202 & 579.223529943693 \tabularnewline
Trimmed Mean ( 7 / 24 ) & 103.433275862069 & 0.178787234591668 & 578.527186788812 \tabularnewline
Trimmed Mean ( 8 / 24 ) & 103.43625 & 0.179050809465162 & 577.692166312856 \tabularnewline
Trimmed Mean ( 9 / 24 ) & 103.439259259259 & 0.179213837942616 & 577.183438772067 \tabularnewline
Trimmed Mean ( 10 / 24 ) & 103.440769230769 & 0.179564129163345 & 576.065886392441 \tabularnewline
Trimmed Mean ( 11 / 24 ) & 103.4396 & 0.180470125290722 & 573.167441610447 \tabularnewline
Trimmed Mean ( 12 / 24 ) & 103.438125 & 0.181251230431138 & 570.689229275599 \tabularnewline
Trimmed Mean ( 13 / 24 ) & 103.438043478261 & 0.182135910278738 & 567.916800810784 \tabularnewline
Trimmed Mean ( 14 / 24 ) & 103.438636363636 & 0.182943859417679 & 565.411906652061 \tabularnewline
Trimmed Mean ( 15 / 24 ) & 103.439523809524 & 0.183538250713958 & 563.585647172442 \tabularnewline
Trimmed Mean ( 16 / 24 ) & 103.44225 & 0.184281518022333 & 561.32731654329 \tabularnewline
Trimmed Mean ( 17 / 24 ) & 103.445789473684 & 0.185140610736285 & 558.741753428872 \tabularnewline
Trimmed Mean ( 18 / 24 ) & 103.45 & 0.185673805111981 & 557.159907061789 \tabularnewline
Trimmed Mean ( 19 / 24 ) & 103.455294117647 & 0.185960547870698 & 556.329260707391 \tabularnewline
Trimmed Mean ( 20 / 24 ) & 103.465 & 0.187072631228725 & 553.073954861403 \tabularnewline
Trimmed Mean ( 21 / 24 ) & 103.475333333333 & 0.18781485951846 & 550.943272532508 \tabularnewline
Trimmed Mean ( 22 / 24 ) & 103.489285714286 & 0.188467734436583 & 549.108769326819 \tabularnewline
Trimmed Mean ( 23 / 24 ) & 103.507692307692 & 0.188674165768402 & 548.605538474984 \tabularnewline
Trimmed Mean ( 24 / 24 ) & 103.529166666667 & 0.187487117109751 & 552.193496079322 \tabularnewline
Median & 103.805 &  &  \tabularnewline
Midrange & 103.495 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 103.364736842105 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 103.45 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 103.364736842105 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 103.45 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 103.45 &  &  \tabularnewline
Midmean - Closest Observation & 103.364736842105 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 103.45 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 103.404358974359 &  &  \tabularnewline
Number of observations & 72 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207188&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]103.445555555556[/C][C]0.184332200890587[/C][C]561.190909975393[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]103.433887464405[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]103.422213255928[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]103.457215445699[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 24 )[/C][C]103.445555555556[/C][C]0.184332200890587[/C][C]561.190909975393[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 24 )[/C][C]103.446666666667[/C][C]0.183945414438517[/C][C]562.37698005374[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 24 )[/C][C]103.44625[/C][C]0.183436210731873[/C][C]563.935820453718[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 24 )[/C][C]103.45125[/C][C]0.181860810408083[/C][C]568.848504347157[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 24 )[/C][C]103.453333333333[/C][C]0.18129889119882[/C][C]570.623089028613[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 24 )[/C][C]103.414166666667[/C][C]0.17472264517988[/C][C]591.876150685563[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 24 )[/C][C]103.417083333333[/C][C]0.173672298294333[/C][C]595.472532747084[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 24 )[/C][C]103.418194444444[/C][C]0.173164906251234[/C][C]597.223748641087[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 24 )[/C][C]103.429444444444[/C][C]0.171077306479293[/C][C]604.577232205625[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 24 )[/C][C]103.448888888889[/C][C]0.167043887146471[/C][C]619.291676313666[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 24 )[/C][C]103.450416666667[/C][C]0.166829314709612[/C][C]620.097354273351[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 24 )[/C][C]103.43875[/C][C]0.16516588823881[/C][C]626.271871891851[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 24 )[/C][C]103.433333333333[/C][C]0.164407100928399[/C][C]629.129354810409[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 24 )[/C][C]103.431388888889[/C][C]0.164136583067988[/C][C]630.154393101056[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 24 )[/C][C]103.416805555556[/C][C]0.161556981617708[/C][C]640.125883264336[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 24 )[/C][C]103.412361111111[/C][C]0.159126564160667[/C][C]649.874907163191[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 24 )[/C][C]103.41[/C][C]0.158811977292191[/C][C]651.147361572992[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 24 )[/C][C]103.405[/C][C]0.157468232134152[/C][C]656.672133792077[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 24 )[/C][C]103.373333333333[/C][C]0.15054426558273[/C][C]686.664038202941[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 24 )[/C][C]103.378888888889[/C][C]0.149769848937773[/C][C]690.251673631863[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 24 )[/C][C]103.361388888889[/C][C]0.146814280384126[/C][C]704.028168230319[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 24 )[/C][C]103.343055555556[/C][C]0.144567326898603[/C][C]714.843787822392[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 24 )[/C][C]103.343055555556[/C][C]0.144567326898603[/C][C]714.843787822392[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 24 )[/C][C]103.349722222222[/C][C]0.140170638829659[/C][C]737.313627769199[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 24 )[/C][C]103.444142857143[/C][C]0.183637672429394[/C][C]563.305674095361[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 24 )[/C][C]103.442647058824[/C][C]0.182693078934972[/C][C]566.209993623474[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 24 )[/C][C]103.440454545455[/C][C]0.181685508120454[/C][C]569.337948940186[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 24 )[/C][C]103.43828125[/C][C]0.180577440556871[/C][C]572.819511291185[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 24 )[/C][C]103.434516129032[/C][C]0.179659569581819[/C][C]575.725058062811[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 24 )[/C][C]103.43[/C][C]0.178566640775202[/C][C]579.223529943693[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 24 )[/C][C]103.433275862069[/C][C]0.178787234591668[/C][C]578.527186788812[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 24 )[/C][C]103.43625[/C][C]0.179050809465162[/C][C]577.692166312856[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 24 )[/C][C]103.439259259259[/C][C]0.179213837942616[/C][C]577.183438772067[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 24 )[/C][C]103.440769230769[/C][C]0.179564129163345[/C][C]576.065886392441[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 24 )[/C][C]103.4396[/C][C]0.180470125290722[/C][C]573.167441610447[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 24 )[/C][C]103.438125[/C][C]0.181251230431138[/C][C]570.689229275599[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 24 )[/C][C]103.438043478261[/C][C]0.182135910278738[/C][C]567.916800810784[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 24 )[/C][C]103.438636363636[/C][C]0.182943859417679[/C][C]565.411906652061[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 24 )[/C][C]103.439523809524[/C][C]0.183538250713958[/C][C]563.585647172442[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 24 )[/C][C]103.44225[/C][C]0.184281518022333[/C][C]561.32731654329[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 24 )[/C][C]103.445789473684[/C][C]0.185140610736285[/C][C]558.741753428872[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 24 )[/C][C]103.45[/C][C]0.185673805111981[/C][C]557.159907061789[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 24 )[/C][C]103.455294117647[/C][C]0.185960547870698[/C][C]556.329260707391[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 24 )[/C][C]103.465[/C][C]0.187072631228725[/C][C]553.073954861403[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 24 )[/C][C]103.475333333333[/C][C]0.18781485951846[/C][C]550.943272532508[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 24 )[/C][C]103.489285714286[/C][C]0.188467734436583[/C][C]549.108769326819[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 24 )[/C][C]103.507692307692[/C][C]0.188674165768402[/C][C]548.605538474984[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 24 )[/C][C]103.529166666667[/C][C]0.187487117109751[/C][C]552.193496079322[/C][/ROW]
[ROW][C]Median[/C][C]103.805[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]103.495[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]103.364736842105[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]103.45[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]103.364736842105[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]103.45[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]103.45[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]103.364736842105[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]103.45[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]103.404358974359[/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=207188&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207188&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 Mean103.4455555555560.184332200890587561.190909975393
Geometric Mean103.433887464405
Harmonic Mean103.422213255928
Quadratic Mean103.457215445699
Winsorized Mean ( 1 / 24 )103.4455555555560.184332200890587561.190909975393
Winsorized Mean ( 2 / 24 )103.4466666666670.183945414438517562.37698005374
Winsorized Mean ( 3 / 24 )103.446250.183436210731873563.935820453718
Winsorized Mean ( 4 / 24 )103.451250.181860810408083568.848504347157
Winsorized Mean ( 5 / 24 )103.4533333333330.18129889119882570.623089028613
Winsorized Mean ( 6 / 24 )103.4141666666670.17472264517988591.876150685563
Winsorized Mean ( 7 / 24 )103.4170833333330.173672298294333595.472532747084
Winsorized Mean ( 8 / 24 )103.4181944444440.173164906251234597.223748641087
Winsorized Mean ( 9 / 24 )103.4294444444440.171077306479293604.577232205625
Winsorized Mean ( 10 / 24 )103.4488888888890.167043887146471619.291676313666
Winsorized Mean ( 11 / 24 )103.4504166666670.166829314709612620.097354273351
Winsorized Mean ( 12 / 24 )103.438750.16516588823881626.271871891851
Winsorized Mean ( 13 / 24 )103.4333333333330.164407100928399629.129354810409
Winsorized Mean ( 14 / 24 )103.4313888888890.164136583067988630.154393101056
Winsorized Mean ( 15 / 24 )103.4168055555560.161556981617708640.125883264336
Winsorized Mean ( 16 / 24 )103.4123611111110.159126564160667649.874907163191
Winsorized Mean ( 17 / 24 )103.410.158811977292191651.147361572992
Winsorized Mean ( 18 / 24 )103.4050.157468232134152656.672133792077
Winsorized Mean ( 19 / 24 )103.3733333333330.15054426558273686.664038202941
Winsorized Mean ( 20 / 24 )103.3788888888890.149769848937773690.251673631863
Winsorized Mean ( 21 / 24 )103.3613888888890.146814280384126704.028168230319
Winsorized Mean ( 22 / 24 )103.3430555555560.144567326898603714.843787822392
Winsorized Mean ( 23 / 24 )103.3430555555560.144567326898603714.843787822392
Winsorized Mean ( 24 / 24 )103.3497222222220.140170638829659737.313627769199
Trimmed Mean ( 1 / 24 )103.4441428571430.183637672429394563.305674095361
Trimmed Mean ( 2 / 24 )103.4426470588240.182693078934972566.209993623474
Trimmed Mean ( 3 / 24 )103.4404545454550.181685508120454569.337948940186
Trimmed Mean ( 4 / 24 )103.438281250.180577440556871572.819511291185
Trimmed Mean ( 5 / 24 )103.4345161290320.179659569581819575.725058062811
Trimmed Mean ( 6 / 24 )103.430.178566640775202579.223529943693
Trimmed Mean ( 7 / 24 )103.4332758620690.178787234591668578.527186788812
Trimmed Mean ( 8 / 24 )103.436250.179050809465162577.692166312856
Trimmed Mean ( 9 / 24 )103.4392592592590.179213837942616577.183438772067
Trimmed Mean ( 10 / 24 )103.4407692307690.179564129163345576.065886392441
Trimmed Mean ( 11 / 24 )103.43960.180470125290722573.167441610447
Trimmed Mean ( 12 / 24 )103.4381250.181251230431138570.689229275599
Trimmed Mean ( 13 / 24 )103.4380434782610.182135910278738567.916800810784
Trimmed Mean ( 14 / 24 )103.4386363636360.182943859417679565.411906652061
Trimmed Mean ( 15 / 24 )103.4395238095240.183538250713958563.585647172442
Trimmed Mean ( 16 / 24 )103.442250.184281518022333561.32731654329
Trimmed Mean ( 17 / 24 )103.4457894736840.185140610736285558.741753428872
Trimmed Mean ( 18 / 24 )103.450.185673805111981557.159907061789
Trimmed Mean ( 19 / 24 )103.4552941176470.185960547870698556.329260707391
Trimmed Mean ( 20 / 24 )103.4650.187072631228725553.073954861403
Trimmed Mean ( 21 / 24 )103.4753333333330.18781485951846550.943272532508
Trimmed Mean ( 22 / 24 )103.4892857142860.188467734436583549.108769326819
Trimmed Mean ( 23 / 24 )103.5076923076920.188674165768402548.605538474984
Trimmed Mean ( 24 / 24 )103.5291666666670.187487117109751552.193496079322
Median103.805
Midrange103.495
Midmean - Weighted Average at Xnp103.364736842105
Midmean - Weighted Average at X(n+1)p103.45
Midmean - Empirical Distribution Function103.364736842105
Midmean - Empirical Distribution Function - Averaging103.45
Midmean - Empirical Distribution Function - Interpolation103.45
Midmean - Closest Observation103.364736842105
Midmean - True Basic - Statistics Graphics Toolkit103.45
Midmean - MS Excel (old versions)103.404358974359
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')