Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationSat, 06 Jun 2009 05:37:02 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/06/t1244288345mi3mjm5f0ygmdfa.htm/, Retrieved Sun, 28 Apr 2024 21:59:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41969, Retrieved Sun, 28 Apr 2024 21:59:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact169
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Maandelijkse evol...] [2009-02-08 21:05:29] [d7df5c9fd3abb175149ef024e75d4180]
- RMPD  [Central Tendency] [oef 5 annelies reul] [2009-04-22 20:17:12] [d7df5c9fd3abb175149ef024e75d4180]
-    D      [Central Tendency] [Annelies Reul con...] [2009-06-06 11:37:02] [9202dc9f5562cf74198e3e368d8190ce] [Current]
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Dataseries X:
-9
-13
-18
-11
-9
-10
-13
-11
-5
-15
-6
-6
-3
-1
-3
-4
-6
0
-4
-2
-2
-6
-7
-6
-6
-3
-2
-5
-11
-11
-11
-10
-14
-8
-9
-5
-1
-2
-5
-4
-6
-2
-2
-2
-2
2
1
-8
-1
1
-1
2
2
1
-1
-2
-2
-1
-8
-4
-6
-3
-3
-7
-9
-11
-13
-11
-9
-17
-22
-25
-20




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41969&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41969&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41969&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'George Udny Yule' @ 72.249.76.132







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean-6.383561643835620.67224553190767-9.49587812911247
Geometric MeanNaN
Harmonic Mean0
Quadratic Mean8.56082187835238
Winsorized Mean ( 1 / 24 )-6.342465753424660.657534246575343-9.64583333333333
Winsorized Mean ( 2 / 24 )-6.287671232876710.640312260929977-9.81969519644154
Winsorized Mean ( 3 / 24 )-6.246575342465750.609969439910506-10.2408004954842
Winsorized Mean ( 4 / 24 )-6.191780821917810.595728559695266-10.3936276365281
Winsorized Mean ( 5 / 24 )-6.054794520547950.563302669641423-10.7487410354405
Winsorized Mean ( 6 / 24 )-6.054794520547950.532036955749023-11.3804021602668
Winsorized Mean ( 7 / 24 )-6.054794520547950.498433776379989-12.1476408852597
Winsorized Mean ( 8 / 24 )-6.054794520547950.498433776379989-12.1476408852597
Winsorized Mean ( 9 / 24 )-6.054794520547950.498433776379989-12.1476408852597
Winsorized Mean ( 10 / 24 )-5.780821917808220.449609409103461-12.8574309183952
Winsorized Mean ( 11 / 24 )-5.780821917808220.449609409103461-12.8574309183952
Winsorized Mean ( 12 / 24 )-5.780821917808220.449609409103461-12.8574309183952
Winsorized Mean ( 13 / 24 )-5.958904109589040.424890690645373-14.0245579410977
Winsorized Mean ( 14 / 24 )-5.958904109589040.424890690645373-14.0245579410977
Winsorized Mean ( 15 / 24 )-5.958904109589040.424890690645373-14.0245579410977
Winsorized Mean ( 16 / 24 )-5.958904109589040.424890690645373-14.0245579410977
Winsorized Mean ( 17 / 24 )-5.726027397260270.387818840188824-14.7646963063278
Winsorized Mean ( 18 / 24 )-5.726027397260270.387818840188824-14.7646963063278
Winsorized Mean ( 19 / 24 )-5.465753424657530.349538830650806-15.6370421405852
Winsorized Mean ( 20 / 24 )-5.465753424657530.349538830650806-15.6370421405852
Winsorized Mean ( 21 / 24 )-5.465753424657530.349538830650806-15.6370421405852
Winsorized Mean ( 22 / 24 )-5.465753424657530.349538830650806-15.6370421405852
Winsorized Mean ( 23 / 24 )-5.780821917808220.307965395265935-18.7710113105934
Winsorized Mean ( 24 / 24 )-5.452054794520550.261741835384731-20.8298944129686
Trimmed Mean ( 1 / 24 )-6.239436619718310.62749374971272-9.94342433303099
Trimmed Mean ( 2 / 24 )-6.13043478260870.591180218654599-10.3698239372086
Trimmed Mean ( 3 / 24 )-6.044776119402980.558812802688942-10.8171754303341
Trimmed Mean ( 4 / 24 )-5.969230769230770.53438013639872-11.1703829589521
Trimmed Mean ( 5 / 24 )-5.90476190476190.510370830771458-11.5695520761570
Trimmed Mean ( 6 / 24 )-5.86885245901640.492276639226263-11.9218585473419
Trimmed Mean ( 7 / 24 )-5.830508474576270.479353099035733-12.1632852406815
Trimmed Mean ( 8 / 24 )-5.789473684210530.472115195912309-12.2628412182815
Trimmed Mean ( 9 / 24 )-5.745454545454550.462912883731595-12.4115243869208
Trimmed Mean ( 10 / 24 )-5.698113207547170.451239950826979-12.6276789036617
Trimmed Mean ( 11 / 24 )-5.686274509803920.447643236866699-12.7026927729441
Trimmed Mean ( 12 / 24 )-5.67346938775510.442614906006047-12.8180712189516
Trimmed Mean ( 13 / 24 )-5.659574468085110.435769541381473-12.9875402721888
Trimmed Mean ( 14 / 24 )-5.622222222222220.431451495323703-13.0309485148593
Trimmed Mean ( 15 / 24 )-5.581395348837210.425166970184040-13.1275375093724
Trimmed Mean ( 16 / 24 )-5.536585365853660.416280804874355-13.3001216991611
Trimmed Mean ( 17 / 24 )-5.487179487179490.403880961591439-13.5861305904541
Trimmed Mean ( 18 / 24 )-5.459459459459460.396294008070681-13.7762856573036
Trimmed Mean ( 19 / 24 )-5.428571428571430.385200404647628-14.0928497557975
Trimmed Mean ( 20 / 24 )-5.424242424242420.3794690844354-14.2942933870699
Trimmed Mean ( 21 / 24 )-5.419354838709680.37033606809203-14.6336133734696
Trimmed Mean ( 22 / 24 )-5.413793103448280.356215885513122-15.198067586598
Trimmed Mean ( 23 / 24 )-5.407407407407410.334439443665623-16.1685695566873
Trimmed Mean ( 24 / 24 )-5.360.31559467676119-16.983809914056
Median-6
Midrange-11.5
Midmean - Weighted Average at Xnp-5.16279069767442
Midmean - Weighted Average at X(n+1)p-5.16279069767442
Midmean - Empirical Distribution Function-5.16279069767442
Midmean - Empirical Distribution Function - Averaging-5.16279069767442
Midmean - Empirical Distribution Function - Interpolation-5.16279069767442
Midmean - Closest Observation-5.16279069767442
Midmean - True Basic - Statistics Graphics Toolkit-5.16279069767442
Midmean - MS Excel (old versions)-5.16279069767442
Number of observations73

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & -6.38356164383562 & 0.67224553190767 & -9.49587812911247 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & 0 &  &  \tabularnewline
Quadratic Mean & 8.56082187835238 &  &  \tabularnewline
Winsorized Mean ( 1 / 24 ) & -6.34246575342466 & 0.657534246575343 & -9.64583333333333 \tabularnewline
Winsorized Mean ( 2 / 24 ) & -6.28767123287671 & 0.640312260929977 & -9.81969519644154 \tabularnewline
Winsorized Mean ( 3 / 24 ) & -6.24657534246575 & 0.609969439910506 & -10.2408004954842 \tabularnewline
Winsorized Mean ( 4 / 24 ) & -6.19178082191781 & 0.595728559695266 & -10.3936276365281 \tabularnewline
Winsorized Mean ( 5 / 24 ) & -6.05479452054795 & 0.563302669641423 & -10.7487410354405 \tabularnewline
Winsorized Mean ( 6 / 24 ) & -6.05479452054795 & 0.532036955749023 & -11.3804021602668 \tabularnewline
Winsorized Mean ( 7 / 24 ) & -6.05479452054795 & 0.498433776379989 & -12.1476408852597 \tabularnewline
Winsorized Mean ( 8 / 24 ) & -6.05479452054795 & 0.498433776379989 & -12.1476408852597 \tabularnewline
Winsorized Mean ( 9 / 24 ) & -6.05479452054795 & 0.498433776379989 & -12.1476408852597 \tabularnewline
Winsorized Mean ( 10 / 24 ) & -5.78082191780822 & 0.449609409103461 & -12.8574309183952 \tabularnewline
Winsorized Mean ( 11 / 24 ) & -5.78082191780822 & 0.449609409103461 & -12.8574309183952 \tabularnewline
Winsorized Mean ( 12 / 24 ) & -5.78082191780822 & 0.449609409103461 & -12.8574309183952 \tabularnewline
Winsorized Mean ( 13 / 24 ) & -5.95890410958904 & 0.424890690645373 & -14.0245579410977 \tabularnewline
Winsorized Mean ( 14 / 24 ) & -5.95890410958904 & 0.424890690645373 & -14.0245579410977 \tabularnewline
Winsorized Mean ( 15 / 24 ) & -5.95890410958904 & 0.424890690645373 & -14.0245579410977 \tabularnewline
Winsorized Mean ( 16 / 24 ) & -5.95890410958904 & 0.424890690645373 & -14.0245579410977 \tabularnewline
Winsorized Mean ( 17 / 24 ) & -5.72602739726027 & 0.387818840188824 & -14.7646963063278 \tabularnewline
Winsorized Mean ( 18 / 24 ) & -5.72602739726027 & 0.387818840188824 & -14.7646963063278 \tabularnewline
Winsorized Mean ( 19 / 24 ) & -5.46575342465753 & 0.349538830650806 & -15.6370421405852 \tabularnewline
Winsorized Mean ( 20 / 24 ) & -5.46575342465753 & 0.349538830650806 & -15.6370421405852 \tabularnewline
Winsorized Mean ( 21 / 24 ) & -5.46575342465753 & 0.349538830650806 & -15.6370421405852 \tabularnewline
Winsorized Mean ( 22 / 24 ) & -5.46575342465753 & 0.349538830650806 & -15.6370421405852 \tabularnewline
Winsorized Mean ( 23 / 24 ) & -5.78082191780822 & 0.307965395265935 & -18.7710113105934 \tabularnewline
Winsorized Mean ( 24 / 24 ) & -5.45205479452055 & 0.261741835384731 & -20.8298944129686 \tabularnewline
Trimmed Mean ( 1 / 24 ) & -6.23943661971831 & 0.62749374971272 & -9.94342433303099 \tabularnewline
Trimmed Mean ( 2 / 24 ) & -6.1304347826087 & 0.591180218654599 & -10.3698239372086 \tabularnewline
Trimmed Mean ( 3 / 24 ) & -6.04477611940298 & 0.558812802688942 & -10.8171754303341 \tabularnewline
Trimmed Mean ( 4 / 24 ) & -5.96923076923077 & 0.53438013639872 & -11.1703829589521 \tabularnewline
Trimmed Mean ( 5 / 24 ) & -5.9047619047619 & 0.510370830771458 & -11.5695520761570 \tabularnewline
Trimmed Mean ( 6 / 24 ) & -5.8688524590164 & 0.492276639226263 & -11.9218585473419 \tabularnewline
Trimmed Mean ( 7 / 24 ) & -5.83050847457627 & 0.479353099035733 & -12.1632852406815 \tabularnewline
Trimmed Mean ( 8 / 24 ) & -5.78947368421053 & 0.472115195912309 & -12.2628412182815 \tabularnewline
Trimmed Mean ( 9 / 24 ) & -5.74545454545455 & 0.462912883731595 & -12.4115243869208 \tabularnewline
Trimmed Mean ( 10 / 24 ) & -5.69811320754717 & 0.451239950826979 & -12.6276789036617 \tabularnewline
Trimmed Mean ( 11 / 24 ) & -5.68627450980392 & 0.447643236866699 & -12.7026927729441 \tabularnewline
Trimmed Mean ( 12 / 24 ) & -5.6734693877551 & 0.442614906006047 & -12.8180712189516 \tabularnewline
Trimmed Mean ( 13 / 24 ) & -5.65957446808511 & 0.435769541381473 & -12.9875402721888 \tabularnewline
Trimmed Mean ( 14 / 24 ) & -5.62222222222222 & 0.431451495323703 & -13.0309485148593 \tabularnewline
Trimmed Mean ( 15 / 24 ) & -5.58139534883721 & 0.425166970184040 & -13.1275375093724 \tabularnewline
Trimmed Mean ( 16 / 24 ) & -5.53658536585366 & 0.416280804874355 & -13.3001216991611 \tabularnewline
Trimmed Mean ( 17 / 24 ) & -5.48717948717949 & 0.403880961591439 & -13.5861305904541 \tabularnewline
Trimmed Mean ( 18 / 24 ) & -5.45945945945946 & 0.396294008070681 & -13.7762856573036 \tabularnewline
Trimmed Mean ( 19 / 24 ) & -5.42857142857143 & 0.385200404647628 & -14.0928497557975 \tabularnewline
Trimmed Mean ( 20 / 24 ) & -5.42424242424242 & 0.3794690844354 & -14.2942933870699 \tabularnewline
Trimmed Mean ( 21 / 24 ) & -5.41935483870968 & 0.37033606809203 & -14.6336133734696 \tabularnewline
Trimmed Mean ( 22 / 24 ) & -5.41379310344828 & 0.356215885513122 & -15.198067586598 \tabularnewline
Trimmed Mean ( 23 / 24 ) & -5.40740740740741 & 0.334439443665623 & -16.1685695566873 \tabularnewline
Trimmed Mean ( 24 / 24 ) & -5.36 & 0.31559467676119 & -16.983809914056 \tabularnewline
Median & -6 &  &  \tabularnewline
Midrange & -11.5 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & -5.16279069767442 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & -5.16279069767442 &  &  \tabularnewline
Midmean - Empirical Distribution Function & -5.16279069767442 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & -5.16279069767442 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & -5.16279069767442 &  &  \tabularnewline
Midmean - Closest Observation & -5.16279069767442 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & -5.16279069767442 &  &  \tabularnewline
Midmean - MS Excel (old versions) & -5.16279069767442 &  &  \tabularnewline
Number of observations & 73 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41969&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]-6.38356164383562[/C][C]0.67224553190767[/C][C]-9.49587812911247[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]0[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]8.56082187835238[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 24 )[/C][C]-6.34246575342466[/C][C]0.657534246575343[/C][C]-9.64583333333333[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 24 )[/C][C]-6.28767123287671[/C][C]0.640312260929977[/C][C]-9.81969519644154[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 24 )[/C][C]-6.24657534246575[/C][C]0.609969439910506[/C][C]-10.2408004954842[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 24 )[/C][C]-6.19178082191781[/C][C]0.595728559695266[/C][C]-10.3936276365281[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 24 )[/C][C]-6.05479452054795[/C][C]0.563302669641423[/C][C]-10.7487410354405[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 24 )[/C][C]-6.05479452054795[/C][C]0.532036955749023[/C][C]-11.3804021602668[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 24 )[/C][C]-6.05479452054795[/C][C]0.498433776379989[/C][C]-12.1476408852597[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 24 )[/C][C]-6.05479452054795[/C][C]0.498433776379989[/C][C]-12.1476408852597[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 24 )[/C][C]-6.05479452054795[/C][C]0.498433776379989[/C][C]-12.1476408852597[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 24 )[/C][C]-5.78082191780822[/C][C]0.449609409103461[/C][C]-12.8574309183952[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 24 )[/C][C]-5.78082191780822[/C][C]0.449609409103461[/C][C]-12.8574309183952[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 24 )[/C][C]-5.78082191780822[/C][C]0.449609409103461[/C][C]-12.8574309183952[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 24 )[/C][C]-5.95890410958904[/C][C]0.424890690645373[/C][C]-14.0245579410977[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 24 )[/C][C]-5.95890410958904[/C][C]0.424890690645373[/C][C]-14.0245579410977[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 24 )[/C][C]-5.95890410958904[/C][C]0.424890690645373[/C][C]-14.0245579410977[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 24 )[/C][C]-5.95890410958904[/C][C]0.424890690645373[/C][C]-14.0245579410977[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 24 )[/C][C]-5.72602739726027[/C][C]0.387818840188824[/C][C]-14.7646963063278[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 24 )[/C][C]-5.72602739726027[/C][C]0.387818840188824[/C][C]-14.7646963063278[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 24 )[/C][C]-5.46575342465753[/C][C]0.349538830650806[/C][C]-15.6370421405852[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 24 )[/C][C]-5.46575342465753[/C][C]0.349538830650806[/C][C]-15.6370421405852[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 24 )[/C][C]-5.46575342465753[/C][C]0.349538830650806[/C][C]-15.6370421405852[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 24 )[/C][C]-5.46575342465753[/C][C]0.349538830650806[/C][C]-15.6370421405852[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 24 )[/C][C]-5.78082191780822[/C][C]0.307965395265935[/C][C]-18.7710113105934[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 24 )[/C][C]-5.45205479452055[/C][C]0.261741835384731[/C][C]-20.8298944129686[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 24 )[/C][C]-6.23943661971831[/C][C]0.62749374971272[/C][C]-9.94342433303099[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 24 )[/C][C]-6.1304347826087[/C][C]0.591180218654599[/C][C]-10.3698239372086[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 24 )[/C][C]-6.04477611940298[/C][C]0.558812802688942[/C][C]-10.8171754303341[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 24 )[/C][C]-5.96923076923077[/C][C]0.53438013639872[/C][C]-11.1703829589521[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 24 )[/C][C]-5.9047619047619[/C][C]0.510370830771458[/C][C]-11.5695520761570[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 24 )[/C][C]-5.8688524590164[/C][C]0.492276639226263[/C][C]-11.9218585473419[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 24 )[/C][C]-5.83050847457627[/C][C]0.479353099035733[/C][C]-12.1632852406815[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 24 )[/C][C]-5.78947368421053[/C][C]0.472115195912309[/C][C]-12.2628412182815[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 24 )[/C][C]-5.74545454545455[/C][C]0.462912883731595[/C][C]-12.4115243869208[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 24 )[/C][C]-5.69811320754717[/C][C]0.451239950826979[/C][C]-12.6276789036617[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 24 )[/C][C]-5.68627450980392[/C][C]0.447643236866699[/C][C]-12.7026927729441[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 24 )[/C][C]-5.6734693877551[/C][C]0.442614906006047[/C][C]-12.8180712189516[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 24 )[/C][C]-5.65957446808511[/C][C]0.435769541381473[/C][C]-12.9875402721888[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 24 )[/C][C]-5.62222222222222[/C][C]0.431451495323703[/C][C]-13.0309485148593[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 24 )[/C][C]-5.58139534883721[/C][C]0.425166970184040[/C][C]-13.1275375093724[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 24 )[/C][C]-5.53658536585366[/C][C]0.416280804874355[/C][C]-13.3001216991611[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 24 )[/C][C]-5.48717948717949[/C][C]0.403880961591439[/C][C]-13.5861305904541[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 24 )[/C][C]-5.45945945945946[/C][C]0.396294008070681[/C][C]-13.7762856573036[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 24 )[/C][C]-5.42857142857143[/C][C]0.385200404647628[/C][C]-14.0928497557975[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 24 )[/C][C]-5.42424242424242[/C][C]0.3794690844354[/C][C]-14.2942933870699[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 24 )[/C][C]-5.41935483870968[/C][C]0.37033606809203[/C][C]-14.6336133734696[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 24 )[/C][C]-5.41379310344828[/C][C]0.356215885513122[/C][C]-15.198067586598[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 24 )[/C][C]-5.40740740740741[/C][C]0.334439443665623[/C][C]-16.1685695566873[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 24 )[/C][C]-5.36[/C][C]0.31559467676119[/C][C]-16.983809914056[/C][/ROW]
[ROW][C]Median[/C][C]-6[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]-11.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]-5.16279069767442[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]-5.16279069767442[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]-5.16279069767442[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]-5.16279069767442[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]-5.16279069767442[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]-5.16279069767442[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]-5.16279069767442[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]-5.16279069767442[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]73[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41969&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41969&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 Mean-6.383561643835620.67224553190767-9.49587812911247
Geometric MeanNaN
Harmonic Mean0
Quadratic Mean8.56082187835238
Winsorized Mean ( 1 / 24 )-6.342465753424660.657534246575343-9.64583333333333
Winsorized Mean ( 2 / 24 )-6.287671232876710.640312260929977-9.81969519644154
Winsorized Mean ( 3 / 24 )-6.246575342465750.609969439910506-10.2408004954842
Winsorized Mean ( 4 / 24 )-6.191780821917810.595728559695266-10.3936276365281
Winsorized Mean ( 5 / 24 )-6.054794520547950.563302669641423-10.7487410354405
Winsorized Mean ( 6 / 24 )-6.054794520547950.532036955749023-11.3804021602668
Winsorized Mean ( 7 / 24 )-6.054794520547950.498433776379989-12.1476408852597
Winsorized Mean ( 8 / 24 )-6.054794520547950.498433776379989-12.1476408852597
Winsorized Mean ( 9 / 24 )-6.054794520547950.498433776379989-12.1476408852597
Winsorized Mean ( 10 / 24 )-5.780821917808220.449609409103461-12.8574309183952
Winsorized Mean ( 11 / 24 )-5.780821917808220.449609409103461-12.8574309183952
Winsorized Mean ( 12 / 24 )-5.780821917808220.449609409103461-12.8574309183952
Winsorized Mean ( 13 / 24 )-5.958904109589040.424890690645373-14.0245579410977
Winsorized Mean ( 14 / 24 )-5.958904109589040.424890690645373-14.0245579410977
Winsorized Mean ( 15 / 24 )-5.958904109589040.424890690645373-14.0245579410977
Winsorized Mean ( 16 / 24 )-5.958904109589040.424890690645373-14.0245579410977
Winsorized Mean ( 17 / 24 )-5.726027397260270.387818840188824-14.7646963063278
Winsorized Mean ( 18 / 24 )-5.726027397260270.387818840188824-14.7646963063278
Winsorized Mean ( 19 / 24 )-5.465753424657530.349538830650806-15.6370421405852
Winsorized Mean ( 20 / 24 )-5.465753424657530.349538830650806-15.6370421405852
Winsorized Mean ( 21 / 24 )-5.465753424657530.349538830650806-15.6370421405852
Winsorized Mean ( 22 / 24 )-5.465753424657530.349538830650806-15.6370421405852
Winsorized Mean ( 23 / 24 )-5.780821917808220.307965395265935-18.7710113105934
Winsorized Mean ( 24 / 24 )-5.452054794520550.261741835384731-20.8298944129686
Trimmed Mean ( 1 / 24 )-6.239436619718310.62749374971272-9.94342433303099
Trimmed Mean ( 2 / 24 )-6.13043478260870.591180218654599-10.3698239372086
Trimmed Mean ( 3 / 24 )-6.044776119402980.558812802688942-10.8171754303341
Trimmed Mean ( 4 / 24 )-5.969230769230770.53438013639872-11.1703829589521
Trimmed Mean ( 5 / 24 )-5.90476190476190.510370830771458-11.5695520761570
Trimmed Mean ( 6 / 24 )-5.86885245901640.492276639226263-11.9218585473419
Trimmed Mean ( 7 / 24 )-5.830508474576270.479353099035733-12.1632852406815
Trimmed Mean ( 8 / 24 )-5.789473684210530.472115195912309-12.2628412182815
Trimmed Mean ( 9 / 24 )-5.745454545454550.462912883731595-12.4115243869208
Trimmed Mean ( 10 / 24 )-5.698113207547170.451239950826979-12.6276789036617
Trimmed Mean ( 11 / 24 )-5.686274509803920.447643236866699-12.7026927729441
Trimmed Mean ( 12 / 24 )-5.67346938775510.442614906006047-12.8180712189516
Trimmed Mean ( 13 / 24 )-5.659574468085110.435769541381473-12.9875402721888
Trimmed Mean ( 14 / 24 )-5.622222222222220.431451495323703-13.0309485148593
Trimmed Mean ( 15 / 24 )-5.581395348837210.425166970184040-13.1275375093724
Trimmed Mean ( 16 / 24 )-5.536585365853660.416280804874355-13.3001216991611
Trimmed Mean ( 17 / 24 )-5.487179487179490.403880961591439-13.5861305904541
Trimmed Mean ( 18 / 24 )-5.459459459459460.396294008070681-13.7762856573036
Trimmed Mean ( 19 / 24 )-5.428571428571430.385200404647628-14.0928497557975
Trimmed Mean ( 20 / 24 )-5.424242424242420.3794690844354-14.2942933870699
Trimmed Mean ( 21 / 24 )-5.419354838709680.37033606809203-14.6336133734696
Trimmed Mean ( 22 / 24 )-5.413793103448280.356215885513122-15.198067586598
Trimmed Mean ( 23 / 24 )-5.407407407407410.334439443665623-16.1685695566873
Trimmed Mean ( 24 / 24 )-5.360.31559467676119-16.983809914056
Median-6
Midrange-11.5
Midmean - Weighted Average at Xnp-5.16279069767442
Midmean - Weighted Average at X(n+1)p-5.16279069767442
Midmean - Empirical Distribution Function-5.16279069767442
Midmean - Empirical Distribution Function - Averaging-5.16279069767442
Midmean - Empirical Distribution Function - Interpolation-5.16279069767442
Midmean - Closest Observation-5.16279069767442
Midmean - True Basic - Statistics Graphics Toolkit-5.16279069767442
Midmean - MS Excel (old versions)-5.16279069767442
Number of observations73



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')