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Author's title

het rekenkundig gemiddelde met de mediaan voor kattenvoeding in blik 2006-2...

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationTue, 06 Mar 2012 07:13:16 -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/2012/Mar/06/t1331036034bm177vbzr32qlez.htm/, Retrieved Wed, 01 May 2024 20:42:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163518, Retrieved Wed, 01 May 2024 20:42:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [het rekenkundig g...] [2012-03-06 12:13:16] [b6f30dd2dbd531a0598f7d35351b79f0] [Current]
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Dataseries X:
1,78
1,79
1,8
1,82
1,82
1,83
1,84
1,84
1,83
1,83
1,83
1,84
1,86
1,85
1,85
1,85
1,84
1,85
1,85
1,83
1,82
1,84
1,85
1,88
1,91
1,93
1,91
1,9
1,9
1,89
1,88
1,88
1,92
1,98
2
2
2,02
2,01
2,05
2,07
2,07
2,04
2,05
2,05
2,04
2,03
2,04
2,04
2,1
2,09
2,1
2,09
2,08
2,1
2,11
2,08
2,09
2,1
2,09
2,09




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163518&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]2 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=163518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163518&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean1.945833333333330.0142064910497726136.967906185707
Geometric Mean1.94278799949489
Harmonic Mean1.93976241460882
Quadratic Mean1.94889071012204
Winsorized Mean ( 1 / 20 )1.945833333333330.0141427182091262137.585526668961
Winsorized Mean ( 2 / 20 )1.946166666666670.0140822677028057138.199806149043
Winsorized Mean ( 3 / 20 )1.947166666666670.0139168062173726139.914764655987
Winsorized Mean ( 4 / 20 )1.947166666666670.0139168062173726139.914764655987
Winsorized Mean ( 5 / 20 )1.946333333333330.013765523679997141.391884433834
Winsorized Mean ( 6 / 20 )1.947333333333330.0136146868741713143.031811993242
Winsorized Mean ( 7 / 20 )1.947333333333330.0136146868741713143.031811993242
Winsorized Mean ( 8 / 20 )1.947333333333330.0136146868741713143.031811993242
Winsorized Mean ( 9 / 20 )1.947333333333330.0136146868741713143.031811993242
Winsorized Mean ( 10 / 20 )1.945666666666670.0133242200493939146.024807414913
Winsorized Mean ( 11 / 20 )1.94750.0130614043075726149.103415998761
Winsorized Mean ( 12 / 20 )1.94550.0127235379544801152.905583883999
Winsorized Mean ( 13 / 20 )1.94550.0127235379544801152.905583883999
Winsorized Mean ( 14 / 20 )1.940833333333330.0119752373192026162.07055289177
Winsorized Mean ( 15 / 20 )1.940833333333330.0119752373192026162.07055289177
Winsorized Mean ( 16 / 20 )1.94350.0116027100866966167.503969803431
Winsorized Mean ( 17 / 20 )1.940666666666670.0111686270308923173.760540243559
Winsorized Mean ( 18 / 20 )1.940666666666670.0111686270308923173.760540243559
Winsorized Mean ( 19 / 20 )1.940666666666670.0111686270308923173.760540243559
Winsorized Mean ( 20 / 20 )1.940666666666670.0111686270308923173.760540243559
Trimmed Mean ( 1 / 20 )1.945862068965520.0141293704624363137.717534842666
Trimmed Mean ( 2 / 20 )1.945892857142860.0140956306800072138.049364467448
Trimmed Mean ( 3 / 20 )1.945740740740740.0140742809576909138.24796780666
Trimmed Mean ( 4 / 20 )1.945192307692310.0141007214619595137.949842704147
Trimmed Mean ( 5 / 20 )1.94460.014108066877514137.836035006283
Trimmed Mean ( 6 / 20 )1.944166666666670.0141384784225184137.508903615129
Trimmed Mean ( 7 / 20 )1.943478260869570.0141872140548489136.98801282309
Trimmed Mean ( 8 / 20 )1.942727272727270.0142143201040896136.67394982672
Trimmed Mean ( 9 / 20 )1.941904761904760.0142127443392777136.631231488363
Trimmed Mean ( 10 / 20 )1.9410.0141729247112865136.951267260617
Trimmed Mean ( 11 / 20 )1.940263157894740.0141546369469125137.076151452826
Trimmed Mean ( 12 / 20 )1.939166666666670.0141442399516384137.099389807937
Trimmed Mean ( 13 / 20 )1.938235294117650.0141639910752301136.842453784599
Trimmed Mean ( 14 / 20 )1.93718750.0141295444801926137.101907475901
Trimmed Mean ( 15 / 20 )1.936666666666670.0142177914554171136.214310973648
Trimmed Mean ( 16 / 20 )1.936071428571430.0142570810932699135.797181478146
Trimmed Mean ( 17 / 20 )1.9350.0143178210632764135.146262231413
Trimmed Mean ( 18 / 20 )1.934166666666670.0144327107674414134.01270889665
Trimmed Mean ( 19 / 20 )1.933181818181820.0144657583996259133.638469880142
Trimmed Mean ( 20 / 20 )1.9320.014356366641943134.574439911247
Median1.91
Midrange1.945
Midmean - Weighted Average at Xnp1.92885714285714
Midmean - Weighted Average at X(n+1)p1.92885714285714
Midmean - Empirical Distribution Function1.92885714285714
Midmean - Empirical Distribution Function - Averaging1.92885714285714
Midmean - Empirical Distribution Function - Interpolation1.92885714285714
Midmean - Closest Observation1.92885714285714
Midmean - True Basic - Statistics Graphics Toolkit1.92885714285714
Midmean - MS Excel (old versions)1.92885714285714
Number of observations60

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 1.94583333333333 & 0.0142064910497726 & 136.967906185707 \tabularnewline
Geometric Mean & 1.94278799949489 &  &  \tabularnewline
Harmonic Mean & 1.93976241460882 &  &  \tabularnewline
Quadratic Mean & 1.94889071012204 &  &  \tabularnewline
Winsorized Mean ( 1 / 20 ) & 1.94583333333333 & 0.0141427182091262 & 137.585526668961 \tabularnewline
Winsorized Mean ( 2 / 20 ) & 1.94616666666667 & 0.0140822677028057 & 138.199806149043 \tabularnewline
Winsorized Mean ( 3 / 20 ) & 1.94716666666667 & 0.0139168062173726 & 139.914764655987 \tabularnewline
Winsorized Mean ( 4 / 20 ) & 1.94716666666667 & 0.0139168062173726 & 139.914764655987 \tabularnewline
Winsorized Mean ( 5 / 20 ) & 1.94633333333333 & 0.013765523679997 & 141.391884433834 \tabularnewline
Winsorized Mean ( 6 / 20 ) & 1.94733333333333 & 0.0136146868741713 & 143.031811993242 \tabularnewline
Winsorized Mean ( 7 / 20 ) & 1.94733333333333 & 0.0136146868741713 & 143.031811993242 \tabularnewline
Winsorized Mean ( 8 / 20 ) & 1.94733333333333 & 0.0136146868741713 & 143.031811993242 \tabularnewline
Winsorized Mean ( 9 / 20 ) & 1.94733333333333 & 0.0136146868741713 & 143.031811993242 \tabularnewline
Winsorized Mean ( 10 / 20 ) & 1.94566666666667 & 0.0133242200493939 & 146.024807414913 \tabularnewline
Winsorized Mean ( 11 / 20 ) & 1.9475 & 0.0130614043075726 & 149.103415998761 \tabularnewline
Winsorized Mean ( 12 / 20 ) & 1.9455 & 0.0127235379544801 & 152.905583883999 \tabularnewline
Winsorized Mean ( 13 / 20 ) & 1.9455 & 0.0127235379544801 & 152.905583883999 \tabularnewline
Winsorized Mean ( 14 / 20 ) & 1.94083333333333 & 0.0119752373192026 & 162.07055289177 \tabularnewline
Winsorized Mean ( 15 / 20 ) & 1.94083333333333 & 0.0119752373192026 & 162.07055289177 \tabularnewline
Winsorized Mean ( 16 / 20 ) & 1.9435 & 0.0116027100866966 & 167.503969803431 \tabularnewline
Winsorized Mean ( 17 / 20 ) & 1.94066666666667 & 0.0111686270308923 & 173.760540243559 \tabularnewline
Winsorized Mean ( 18 / 20 ) & 1.94066666666667 & 0.0111686270308923 & 173.760540243559 \tabularnewline
Winsorized Mean ( 19 / 20 ) & 1.94066666666667 & 0.0111686270308923 & 173.760540243559 \tabularnewline
Winsorized Mean ( 20 / 20 ) & 1.94066666666667 & 0.0111686270308923 & 173.760540243559 \tabularnewline
Trimmed Mean ( 1 / 20 ) & 1.94586206896552 & 0.0141293704624363 & 137.717534842666 \tabularnewline
Trimmed Mean ( 2 / 20 ) & 1.94589285714286 & 0.0140956306800072 & 138.049364467448 \tabularnewline
Trimmed Mean ( 3 / 20 ) & 1.94574074074074 & 0.0140742809576909 & 138.24796780666 \tabularnewline
Trimmed Mean ( 4 / 20 ) & 1.94519230769231 & 0.0141007214619595 & 137.949842704147 \tabularnewline
Trimmed Mean ( 5 / 20 ) & 1.9446 & 0.014108066877514 & 137.836035006283 \tabularnewline
Trimmed Mean ( 6 / 20 ) & 1.94416666666667 & 0.0141384784225184 & 137.508903615129 \tabularnewline
Trimmed Mean ( 7 / 20 ) & 1.94347826086957 & 0.0141872140548489 & 136.98801282309 \tabularnewline
Trimmed Mean ( 8 / 20 ) & 1.94272727272727 & 0.0142143201040896 & 136.67394982672 \tabularnewline
Trimmed Mean ( 9 / 20 ) & 1.94190476190476 & 0.0142127443392777 & 136.631231488363 \tabularnewline
Trimmed Mean ( 10 / 20 ) & 1.941 & 0.0141729247112865 & 136.951267260617 \tabularnewline
Trimmed Mean ( 11 / 20 ) & 1.94026315789474 & 0.0141546369469125 & 137.076151452826 \tabularnewline
Trimmed Mean ( 12 / 20 ) & 1.93916666666667 & 0.0141442399516384 & 137.099389807937 \tabularnewline
Trimmed Mean ( 13 / 20 ) & 1.93823529411765 & 0.0141639910752301 & 136.842453784599 \tabularnewline
Trimmed Mean ( 14 / 20 ) & 1.9371875 & 0.0141295444801926 & 137.101907475901 \tabularnewline
Trimmed Mean ( 15 / 20 ) & 1.93666666666667 & 0.0142177914554171 & 136.214310973648 \tabularnewline
Trimmed Mean ( 16 / 20 ) & 1.93607142857143 & 0.0142570810932699 & 135.797181478146 \tabularnewline
Trimmed Mean ( 17 / 20 ) & 1.935 & 0.0143178210632764 & 135.146262231413 \tabularnewline
Trimmed Mean ( 18 / 20 ) & 1.93416666666667 & 0.0144327107674414 & 134.01270889665 \tabularnewline
Trimmed Mean ( 19 / 20 ) & 1.93318181818182 & 0.0144657583996259 & 133.638469880142 \tabularnewline
Trimmed Mean ( 20 / 20 ) & 1.932 & 0.014356366641943 & 134.574439911247 \tabularnewline
Median & 1.91 &  &  \tabularnewline
Midrange & 1.945 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 1.92885714285714 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 1.92885714285714 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 1.92885714285714 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 1.92885714285714 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 1.92885714285714 &  &  \tabularnewline
Midmean - Closest Observation & 1.92885714285714 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 1.92885714285714 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 1.92885714285714 &  &  \tabularnewline
Number of observations & 60 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163518&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]1.94583333333333[/C][C]0.0142064910497726[/C][C]136.967906185707[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]1.94278799949489[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]1.93976241460882[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]1.94889071012204[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 20 )[/C][C]1.94583333333333[/C][C]0.0141427182091262[/C][C]137.585526668961[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 20 )[/C][C]1.94616666666667[/C][C]0.0140822677028057[/C][C]138.199806149043[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 20 )[/C][C]1.94716666666667[/C][C]0.0139168062173726[/C][C]139.914764655987[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 20 )[/C][C]1.94716666666667[/C][C]0.0139168062173726[/C][C]139.914764655987[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 20 )[/C][C]1.94633333333333[/C][C]0.013765523679997[/C][C]141.391884433834[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 20 )[/C][C]1.94733333333333[/C][C]0.0136146868741713[/C][C]143.031811993242[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 20 )[/C][C]1.94733333333333[/C][C]0.0136146868741713[/C][C]143.031811993242[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 20 )[/C][C]1.94733333333333[/C][C]0.0136146868741713[/C][C]143.031811993242[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 20 )[/C][C]1.94733333333333[/C][C]0.0136146868741713[/C][C]143.031811993242[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 20 )[/C][C]1.94566666666667[/C][C]0.0133242200493939[/C][C]146.024807414913[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 20 )[/C][C]1.9475[/C][C]0.0130614043075726[/C][C]149.103415998761[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 20 )[/C][C]1.9455[/C][C]0.0127235379544801[/C][C]152.905583883999[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 20 )[/C][C]1.9455[/C][C]0.0127235379544801[/C][C]152.905583883999[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 20 )[/C][C]1.94083333333333[/C][C]0.0119752373192026[/C][C]162.07055289177[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 20 )[/C][C]1.94083333333333[/C][C]0.0119752373192026[/C][C]162.07055289177[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 20 )[/C][C]1.9435[/C][C]0.0116027100866966[/C][C]167.503969803431[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 20 )[/C][C]1.94066666666667[/C][C]0.0111686270308923[/C][C]173.760540243559[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 20 )[/C][C]1.94066666666667[/C][C]0.0111686270308923[/C][C]173.760540243559[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 20 )[/C][C]1.94066666666667[/C][C]0.0111686270308923[/C][C]173.760540243559[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 20 )[/C][C]1.94066666666667[/C][C]0.0111686270308923[/C][C]173.760540243559[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 20 )[/C][C]1.94586206896552[/C][C]0.0141293704624363[/C][C]137.717534842666[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 20 )[/C][C]1.94589285714286[/C][C]0.0140956306800072[/C][C]138.049364467448[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 20 )[/C][C]1.94574074074074[/C][C]0.0140742809576909[/C][C]138.24796780666[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 20 )[/C][C]1.94519230769231[/C][C]0.0141007214619595[/C][C]137.949842704147[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 20 )[/C][C]1.9446[/C][C]0.014108066877514[/C][C]137.836035006283[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 20 )[/C][C]1.94416666666667[/C][C]0.0141384784225184[/C][C]137.508903615129[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 20 )[/C][C]1.94347826086957[/C][C]0.0141872140548489[/C][C]136.98801282309[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 20 )[/C][C]1.94272727272727[/C][C]0.0142143201040896[/C][C]136.67394982672[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 20 )[/C][C]1.94190476190476[/C][C]0.0142127443392777[/C][C]136.631231488363[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 20 )[/C][C]1.941[/C][C]0.0141729247112865[/C][C]136.951267260617[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 20 )[/C][C]1.94026315789474[/C][C]0.0141546369469125[/C][C]137.076151452826[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 20 )[/C][C]1.93916666666667[/C][C]0.0141442399516384[/C][C]137.099389807937[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 20 )[/C][C]1.93823529411765[/C][C]0.0141639910752301[/C][C]136.842453784599[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 20 )[/C][C]1.9371875[/C][C]0.0141295444801926[/C][C]137.101907475901[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 20 )[/C][C]1.93666666666667[/C][C]0.0142177914554171[/C][C]136.214310973648[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 20 )[/C][C]1.93607142857143[/C][C]0.0142570810932699[/C][C]135.797181478146[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 20 )[/C][C]1.935[/C][C]0.0143178210632764[/C][C]135.146262231413[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 20 )[/C][C]1.93416666666667[/C][C]0.0144327107674414[/C][C]134.01270889665[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 20 )[/C][C]1.93318181818182[/C][C]0.0144657583996259[/C][C]133.638469880142[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 20 )[/C][C]1.932[/C][C]0.014356366641943[/C][C]134.574439911247[/C][/ROW]
[ROW][C]Median[/C][C]1.91[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]1.945[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]1.92885714285714[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]1.92885714285714[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]1.92885714285714[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]1.92885714285714[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]1.92885714285714[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]1.92885714285714[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]1.92885714285714[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]1.92885714285714[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]60[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163518&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163518&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 Mean1.945833333333330.0142064910497726136.967906185707
Geometric Mean1.94278799949489
Harmonic Mean1.93976241460882
Quadratic Mean1.94889071012204
Winsorized Mean ( 1 / 20 )1.945833333333330.0141427182091262137.585526668961
Winsorized Mean ( 2 / 20 )1.946166666666670.0140822677028057138.199806149043
Winsorized Mean ( 3 / 20 )1.947166666666670.0139168062173726139.914764655987
Winsorized Mean ( 4 / 20 )1.947166666666670.0139168062173726139.914764655987
Winsorized Mean ( 5 / 20 )1.946333333333330.013765523679997141.391884433834
Winsorized Mean ( 6 / 20 )1.947333333333330.0136146868741713143.031811993242
Winsorized Mean ( 7 / 20 )1.947333333333330.0136146868741713143.031811993242
Winsorized Mean ( 8 / 20 )1.947333333333330.0136146868741713143.031811993242
Winsorized Mean ( 9 / 20 )1.947333333333330.0136146868741713143.031811993242
Winsorized Mean ( 10 / 20 )1.945666666666670.0133242200493939146.024807414913
Winsorized Mean ( 11 / 20 )1.94750.0130614043075726149.103415998761
Winsorized Mean ( 12 / 20 )1.94550.0127235379544801152.905583883999
Winsorized Mean ( 13 / 20 )1.94550.0127235379544801152.905583883999
Winsorized Mean ( 14 / 20 )1.940833333333330.0119752373192026162.07055289177
Winsorized Mean ( 15 / 20 )1.940833333333330.0119752373192026162.07055289177
Winsorized Mean ( 16 / 20 )1.94350.0116027100866966167.503969803431
Winsorized Mean ( 17 / 20 )1.940666666666670.0111686270308923173.760540243559
Winsorized Mean ( 18 / 20 )1.940666666666670.0111686270308923173.760540243559
Winsorized Mean ( 19 / 20 )1.940666666666670.0111686270308923173.760540243559
Winsorized Mean ( 20 / 20 )1.940666666666670.0111686270308923173.760540243559
Trimmed Mean ( 1 / 20 )1.945862068965520.0141293704624363137.717534842666
Trimmed Mean ( 2 / 20 )1.945892857142860.0140956306800072138.049364467448
Trimmed Mean ( 3 / 20 )1.945740740740740.0140742809576909138.24796780666
Trimmed Mean ( 4 / 20 )1.945192307692310.0141007214619595137.949842704147
Trimmed Mean ( 5 / 20 )1.94460.014108066877514137.836035006283
Trimmed Mean ( 6 / 20 )1.944166666666670.0141384784225184137.508903615129
Trimmed Mean ( 7 / 20 )1.943478260869570.0141872140548489136.98801282309
Trimmed Mean ( 8 / 20 )1.942727272727270.0142143201040896136.67394982672
Trimmed Mean ( 9 / 20 )1.941904761904760.0142127443392777136.631231488363
Trimmed Mean ( 10 / 20 )1.9410.0141729247112865136.951267260617
Trimmed Mean ( 11 / 20 )1.940263157894740.0141546369469125137.076151452826
Trimmed Mean ( 12 / 20 )1.939166666666670.0141442399516384137.099389807937
Trimmed Mean ( 13 / 20 )1.938235294117650.0141639910752301136.842453784599
Trimmed Mean ( 14 / 20 )1.93718750.0141295444801926137.101907475901
Trimmed Mean ( 15 / 20 )1.936666666666670.0142177914554171136.214310973648
Trimmed Mean ( 16 / 20 )1.936071428571430.0142570810932699135.797181478146
Trimmed Mean ( 17 / 20 )1.9350.0143178210632764135.146262231413
Trimmed Mean ( 18 / 20 )1.934166666666670.0144327107674414134.01270889665
Trimmed Mean ( 19 / 20 )1.933181818181820.0144657583996259133.638469880142
Trimmed Mean ( 20 / 20 )1.9320.014356366641943134.574439911247
Median1.91
Midrange1.945
Midmean - Weighted Average at Xnp1.92885714285714
Midmean - Weighted Average at X(n+1)p1.92885714285714
Midmean - Empirical Distribution Function1.92885714285714
Midmean - Empirical Distribution Function - Averaging1.92885714285714
Midmean - Empirical Distribution Function - Interpolation1.92885714285714
Midmean - Closest Observation1.92885714285714
Midmean - True Basic - Statistics Graphics Toolkit1.92885714285714
Midmean - MS Excel (old versions)1.92885714285714
Number of observations60



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')