Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationFri, 30 Nov 2007 07:24:12 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/30/t1196432023kjbvlynhcorp0me.htm/, Retrieved Sun, 28 Apr 2024 10:16:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7698, Retrieved Sun, 28 Apr 2024 10:16:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWS8CTM
Estimated Impact190
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [WS7 - PACF - Meta...] [2007-11-24 14:11:31] [5343e105a400b9e32bf6f011133bbaf4]
- RM D    [Central Tendency] [WS8 - Central ten...] [2007-11-30 14:24:12] [e51d7ab0e549b3dc96ac85a81d9bd259] [Current]
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Dataseries X:
-1.45500671033428
16.0437303791292
2.66831730370638
33.6173698049944
-7.89276498823337
25.9247924787037
54.0037574943293
-27.4272848501507
7.0368353143732
8.64879812464808
-25.7346723929677
-31.7348494070859
-1.84302897221269
0.588938148562811
-40.0442895761309
-27.0252785424006
-5.58552897205508
4.2892583161164
30.3169881065102
-7.54775684198312
15.1615534506884
-8.61550243334442
-5.09313799002738
60.6828314612378
-20.0174770162594
3.28405995873305
44.8837957229583
52.827416622219
-20.2982586466777
-28.5242565629853
28.5831900641126
66.7186099963879
-2.06147830822676
-46.0326931971337
-9.30909803198028
11.9086362481715
-22.5866302767801
-0.716916587950097
-11.068106732769
-19.9592835076091
-22.4859512216672
49.6632594660532
-47.3090137780967
-22.9103609037443
25.7491738187106
-13.1018238194670
110.855281583924
58.5033973430011
2.37993741989758
-17.9300923624551
37.7150628522804
-30.1996691196088
48.9877092881959
13.5544259032309
-29.9750406940436
-6.33882518896953
-2.84482317887415
42.6208706334779
-5.45985283225555
44.3715172148116
42.6369301996666
-12.915526863476
47.8531203051713
-14.2836069774531
-13.8532750852123
-19.534322159902
48.0612915949325
-40.0777994791643




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

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7698&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7698&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7698&T=0

As an alternative you can also use a QR Code:  

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

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







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean5.446287829547773.900175970627761.39642105139968
Geometric MeanNaN
Harmonic Mean-39.3416462537721
Quadratic Mean32.3855525728225
Winsorized Mean ( 1 / 22 )4.815988550039343.682594488301511.30777053116717
Winsorized Mean ( 2 / 22 )4.813609584828153.605437746609921.33509712915005
Winsorized Mean ( 3 / 22 )4.718936457686833.58327216422851.3169349804895
Winsorized Mean ( 4 / 22 )4.943042358885253.440843447144891.43657868624823
Winsorized Mean ( 5 / 22 )4.969427610015163.404884208135251.4594997380944
Winsorized Mean ( 6 / 22 )4.710057427903343.344521773426051.40829025701886
Winsorized Mean ( 7 / 22 )4.78986092308583.307827051869911.44803850019247
Winsorized Mean ( 8 / 22 )4.809926101858883.266986265230721.47228231506483
Winsorized Mean ( 9 / 22 )4.835580736592713.253739557755531.48616096978836
Winsorized Mean ( 10 / 22 )4.588710378830933.141287443473541.46077379463144
Winsorized Mean ( 11 / 22 )4.96271571400513.061415201211121.62105280983834
Winsorized Mean ( 12 / 22 )4.713741057267312.995314806637921.57370472272937
Winsorized Mean ( 13 / 22 )4.729918312502822.992118896910241.58079223301824
Winsorized Mean ( 14 / 22 )4.170306358283532.743800259055741.51990158340414
Winsorized Mean ( 15 / 22 )3.328340604562712.573528974855761.29329828305091
Winsorized Mean ( 16 / 22 )2.565472795190032.437408604763401.05254112510161
Winsorized Mean ( 17 / 22 )2.238263621517402.349627238105320.952603708885448
Winsorized Mean ( 18 / 22 )1.959219207056872.174462604136520.901013061033938
Winsorized Mean ( 19 / 22 )2.929020203750542.032193918235961.44130940333345
Winsorized Mean ( 20 / 22 )0.2010462192385961.556763333299960.129143727205103
Winsorized Mean ( 21 / 22 )0.1606750587002801.484411944763700.108241556036426
Winsorized Mean ( 22 / 22 )-0.2990054267741771.39866888148196-0.213778565272264
Trimmed Mean ( 1 / 22 )4.648504615203353.592495075783971.29394877853491
Trimmed Mean ( 2 / 22 )4.470552934440113.484073780001661.28313957072344
Trimmed Mean ( 3 / 22 )4.282425093904743.402993937676091.25842865792151
Trimmed Mean ( 4 / 22 )4.117520800920393.314518129352921.24226829971337
Trimmed Mean ( 5 / 22 )3.875557585654833.258992073460341.18918901865871
Trimmed Mean ( 6 / 22 )3.60990343688163.200637383957971.12787017203977
Trimmed Mean ( 7 / 22 )3.379006920247413.144550729946171.07455951912891
Trimmed Mean ( 8 / 22 )3.115440787849033.082478712533451.01069336673164
Trimmed Mean ( 9 / 22 )2.827378284467363.012985876854190.93839745688399
Trimmed Mean ( 10 / 22 )2.511272342929112.926251526070630.858187452635435
Trimmed Mean ( 11 / 22 )2.204172807187102.842092876934680.775545663927913
Trimmed Mean ( 12 / 22 )1.81660892771682.749685210250130.660660689792758
Trimmed Mean ( 13 / 22 )1.425726021348872.643856487977800.539259989273989
Trimmed Mean ( 14 / 22 )0.993639337121052.501341231486350.397242617126096
Trimmed Mean ( 15 / 22 )0.5875991915589292.378242944357580.247072820273899
Trimmed Mean ( 16 / 22 )0.2424687914028972.259471859959830.107312153649574
Trimmed Mean ( 17 / 22 )-0.04790670907049422.13558137680993-0.0224326310346721
Trimmed Mean ( 18 / 22 )-0.3336780003939811.98660859338906-0.167963634862136
Trimmed Mean ( 19 / 22 )-0.62241320429521.82995467655026-0.340124928923674
Trimmed Mean ( 20 / 22 )-1.076355820361201.63685241093371-0.65757658611824
Trimmed Mean ( 21 / 22 )-1.243400702462711.55339209725963-0.800442273818834
Trimmed Mean ( 22 / 22 )-1.432839495635491.44830081984348-0.989324507729228
Median-1.95225364021973
Midrange31.7731339029136
Midmean - Weighted Average at Xnp-0.616803189028742
Midmean - Weighted Average at X(n+1)p-0.0479067090704957
Midmean - Empirical Distribution Function-0.616803189028742
Midmean - Empirical Distribution Function - Averaging-0.0479067090704957
Midmean - Empirical Distribution Function - Interpolation-0.0479067090704957
Midmean - Closest Observation-0.616803189028742
Midmean - True Basic - Statistics Graphics Toolkit-0.0479067090704957
Midmean - MS Excel (old versions)0.242468791402895
Number of observations68

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 5.44628782954777 & 3.90017597062776 & 1.39642105139968 \tabularnewline
Geometric Mean & NaN &  &  \tabularnewline
Harmonic Mean & -39.3416462537721 &  &  \tabularnewline
Quadratic Mean & 32.3855525728225 &  &  \tabularnewline
Winsorized Mean ( 1 / 22 ) & 4.81598855003934 & 3.68259448830151 & 1.30777053116717 \tabularnewline
Winsorized Mean ( 2 / 22 ) & 4.81360958482815 & 3.60543774660992 & 1.33509712915005 \tabularnewline
Winsorized Mean ( 3 / 22 ) & 4.71893645768683 & 3.5832721642285 & 1.3169349804895 \tabularnewline
Winsorized Mean ( 4 / 22 ) & 4.94304235888525 & 3.44084344714489 & 1.43657868624823 \tabularnewline
Winsorized Mean ( 5 / 22 ) & 4.96942761001516 & 3.40488420813525 & 1.4594997380944 \tabularnewline
Winsorized Mean ( 6 / 22 ) & 4.71005742790334 & 3.34452177342605 & 1.40829025701886 \tabularnewline
Winsorized Mean ( 7 / 22 ) & 4.7898609230858 & 3.30782705186991 & 1.44803850019247 \tabularnewline
Winsorized Mean ( 8 / 22 ) & 4.80992610185888 & 3.26698626523072 & 1.47228231506483 \tabularnewline
Winsorized Mean ( 9 / 22 ) & 4.83558073659271 & 3.25373955775553 & 1.48616096978836 \tabularnewline
Winsorized Mean ( 10 / 22 ) & 4.58871037883093 & 3.14128744347354 & 1.46077379463144 \tabularnewline
Winsorized Mean ( 11 / 22 ) & 4.9627157140051 & 3.06141520121112 & 1.62105280983834 \tabularnewline
Winsorized Mean ( 12 / 22 ) & 4.71374105726731 & 2.99531480663792 & 1.57370472272937 \tabularnewline
Winsorized Mean ( 13 / 22 ) & 4.72991831250282 & 2.99211889691024 & 1.58079223301824 \tabularnewline
Winsorized Mean ( 14 / 22 ) & 4.17030635828353 & 2.74380025905574 & 1.51990158340414 \tabularnewline
Winsorized Mean ( 15 / 22 ) & 3.32834060456271 & 2.57352897485576 & 1.29329828305091 \tabularnewline
Winsorized Mean ( 16 / 22 ) & 2.56547279519003 & 2.43740860476340 & 1.05254112510161 \tabularnewline
Winsorized Mean ( 17 / 22 ) & 2.23826362151740 & 2.34962723810532 & 0.952603708885448 \tabularnewline
Winsorized Mean ( 18 / 22 ) & 1.95921920705687 & 2.17446260413652 & 0.901013061033938 \tabularnewline
Winsorized Mean ( 19 / 22 ) & 2.92902020375054 & 2.03219391823596 & 1.44130940333345 \tabularnewline
Winsorized Mean ( 20 / 22 ) & 0.201046219238596 & 1.55676333329996 & 0.129143727205103 \tabularnewline
Winsorized Mean ( 21 / 22 ) & 0.160675058700280 & 1.48441194476370 & 0.108241556036426 \tabularnewline
Winsorized Mean ( 22 / 22 ) & -0.299005426774177 & 1.39866888148196 & -0.213778565272264 \tabularnewline
Trimmed Mean ( 1 / 22 ) & 4.64850461520335 & 3.59249507578397 & 1.29394877853491 \tabularnewline
Trimmed Mean ( 2 / 22 ) & 4.47055293444011 & 3.48407378000166 & 1.28313957072344 \tabularnewline
Trimmed Mean ( 3 / 22 ) & 4.28242509390474 & 3.40299393767609 & 1.25842865792151 \tabularnewline
Trimmed Mean ( 4 / 22 ) & 4.11752080092039 & 3.31451812935292 & 1.24226829971337 \tabularnewline
Trimmed Mean ( 5 / 22 ) & 3.87555758565483 & 3.25899207346034 & 1.18918901865871 \tabularnewline
Trimmed Mean ( 6 / 22 ) & 3.6099034368816 & 3.20063738395797 & 1.12787017203977 \tabularnewline
Trimmed Mean ( 7 / 22 ) & 3.37900692024741 & 3.14455072994617 & 1.07455951912891 \tabularnewline
Trimmed Mean ( 8 / 22 ) & 3.11544078784903 & 3.08247871253345 & 1.01069336673164 \tabularnewline
Trimmed Mean ( 9 / 22 ) & 2.82737828446736 & 3.01298587685419 & 0.93839745688399 \tabularnewline
Trimmed Mean ( 10 / 22 ) & 2.51127234292911 & 2.92625152607063 & 0.858187452635435 \tabularnewline
Trimmed Mean ( 11 / 22 ) & 2.20417280718710 & 2.84209287693468 & 0.775545663927913 \tabularnewline
Trimmed Mean ( 12 / 22 ) & 1.8166089277168 & 2.74968521025013 & 0.660660689792758 \tabularnewline
Trimmed Mean ( 13 / 22 ) & 1.42572602134887 & 2.64385648797780 & 0.539259989273989 \tabularnewline
Trimmed Mean ( 14 / 22 ) & 0.99363933712105 & 2.50134123148635 & 0.397242617126096 \tabularnewline
Trimmed Mean ( 15 / 22 ) & 0.587599191558929 & 2.37824294435758 & 0.247072820273899 \tabularnewline
Trimmed Mean ( 16 / 22 ) & 0.242468791402897 & 2.25947185995983 & 0.107312153649574 \tabularnewline
Trimmed Mean ( 17 / 22 ) & -0.0479067090704942 & 2.13558137680993 & -0.0224326310346721 \tabularnewline
Trimmed Mean ( 18 / 22 ) & -0.333678000393981 & 1.98660859338906 & -0.167963634862136 \tabularnewline
Trimmed Mean ( 19 / 22 ) & -0.6224132042952 & 1.82995467655026 & -0.340124928923674 \tabularnewline
Trimmed Mean ( 20 / 22 ) & -1.07635582036120 & 1.63685241093371 & -0.65757658611824 \tabularnewline
Trimmed Mean ( 21 / 22 ) & -1.24340070246271 & 1.55339209725963 & -0.800442273818834 \tabularnewline
Trimmed Mean ( 22 / 22 ) & -1.43283949563549 & 1.44830081984348 & -0.989324507729228 \tabularnewline
Median & -1.95225364021973 &  &  \tabularnewline
Midrange & 31.7731339029136 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & -0.616803189028742 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & -0.0479067090704957 &  &  \tabularnewline
Midmean - Empirical Distribution Function & -0.616803189028742 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & -0.0479067090704957 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & -0.0479067090704957 &  &  \tabularnewline
Midmean - Closest Observation & -0.616803189028742 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & -0.0479067090704957 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 0.242468791402895 &  &  \tabularnewline
Number of observations & 68 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7698&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]5.44628782954777[/C][C]3.90017597062776[/C][C]1.39642105139968[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]NaN[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]-39.3416462537721[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]32.3855525728225[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 22 )[/C][C]4.81598855003934[/C][C]3.68259448830151[/C][C]1.30777053116717[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 22 )[/C][C]4.81360958482815[/C][C]3.60543774660992[/C][C]1.33509712915005[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 22 )[/C][C]4.71893645768683[/C][C]3.5832721642285[/C][C]1.3169349804895[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 22 )[/C][C]4.94304235888525[/C][C]3.44084344714489[/C][C]1.43657868624823[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 22 )[/C][C]4.96942761001516[/C][C]3.40488420813525[/C][C]1.4594997380944[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 22 )[/C][C]4.71005742790334[/C][C]3.34452177342605[/C][C]1.40829025701886[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 22 )[/C][C]4.7898609230858[/C][C]3.30782705186991[/C][C]1.44803850019247[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 22 )[/C][C]4.80992610185888[/C][C]3.26698626523072[/C][C]1.47228231506483[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 22 )[/C][C]4.83558073659271[/C][C]3.25373955775553[/C][C]1.48616096978836[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 22 )[/C][C]4.58871037883093[/C][C]3.14128744347354[/C][C]1.46077379463144[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 22 )[/C][C]4.9627157140051[/C][C]3.06141520121112[/C][C]1.62105280983834[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 22 )[/C][C]4.71374105726731[/C][C]2.99531480663792[/C][C]1.57370472272937[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 22 )[/C][C]4.72991831250282[/C][C]2.99211889691024[/C][C]1.58079223301824[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 22 )[/C][C]4.17030635828353[/C][C]2.74380025905574[/C][C]1.51990158340414[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 22 )[/C][C]3.32834060456271[/C][C]2.57352897485576[/C][C]1.29329828305091[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 22 )[/C][C]2.56547279519003[/C][C]2.43740860476340[/C][C]1.05254112510161[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 22 )[/C][C]2.23826362151740[/C][C]2.34962723810532[/C][C]0.952603708885448[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 22 )[/C][C]1.95921920705687[/C][C]2.17446260413652[/C][C]0.901013061033938[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 22 )[/C][C]2.92902020375054[/C][C]2.03219391823596[/C][C]1.44130940333345[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 22 )[/C][C]0.201046219238596[/C][C]1.55676333329996[/C][C]0.129143727205103[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 22 )[/C][C]0.160675058700280[/C][C]1.48441194476370[/C][C]0.108241556036426[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 22 )[/C][C]-0.299005426774177[/C][C]1.39866888148196[/C][C]-0.213778565272264[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 22 )[/C][C]4.64850461520335[/C][C]3.59249507578397[/C][C]1.29394877853491[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 22 )[/C][C]4.47055293444011[/C][C]3.48407378000166[/C][C]1.28313957072344[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 22 )[/C][C]4.28242509390474[/C][C]3.40299393767609[/C][C]1.25842865792151[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 22 )[/C][C]4.11752080092039[/C][C]3.31451812935292[/C][C]1.24226829971337[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 22 )[/C][C]3.87555758565483[/C][C]3.25899207346034[/C][C]1.18918901865871[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 22 )[/C][C]3.6099034368816[/C][C]3.20063738395797[/C][C]1.12787017203977[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 22 )[/C][C]3.37900692024741[/C][C]3.14455072994617[/C][C]1.07455951912891[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 22 )[/C][C]3.11544078784903[/C][C]3.08247871253345[/C][C]1.01069336673164[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 22 )[/C][C]2.82737828446736[/C][C]3.01298587685419[/C][C]0.93839745688399[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 22 )[/C][C]2.51127234292911[/C][C]2.92625152607063[/C][C]0.858187452635435[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 22 )[/C][C]2.20417280718710[/C][C]2.84209287693468[/C][C]0.775545663927913[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 22 )[/C][C]1.8166089277168[/C][C]2.74968521025013[/C][C]0.660660689792758[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 22 )[/C][C]1.42572602134887[/C][C]2.64385648797780[/C][C]0.539259989273989[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 22 )[/C][C]0.99363933712105[/C][C]2.50134123148635[/C][C]0.397242617126096[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 22 )[/C][C]0.587599191558929[/C][C]2.37824294435758[/C][C]0.247072820273899[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 22 )[/C][C]0.242468791402897[/C][C]2.25947185995983[/C][C]0.107312153649574[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 22 )[/C][C]-0.0479067090704942[/C][C]2.13558137680993[/C][C]-0.0224326310346721[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 22 )[/C][C]-0.333678000393981[/C][C]1.98660859338906[/C][C]-0.167963634862136[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 22 )[/C][C]-0.6224132042952[/C][C]1.82995467655026[/C][C]-0.340124928923674[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 22 )[/C][C]-1.07635582036120[/C][C]1.63685241093371[/C][C]-0.65757658611824[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 22 )[/C][C]-1.24340070246271[/C][C]1.55339209725963[/C][C]-0.800442273818834[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 22 )[/C][C]-1.43283949563549[/C][C]1.44830081984348[/C][C]-0.989324507729228[/C][/ROW]
[ROW][C]Median[/C][C]-1.95225364021973[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]31.7731339029136[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]-0.616803189028742[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]-0.0479067090704957[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]-0.616803189028742[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]-0.0479067090704957[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]-0.0479067090704957[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]-0.616803189028742[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]-0.0479067090704957[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]0.242468791402895[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]68[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7698&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7698&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 Mean5.446287829547773.900175970627761.39642105139968
Geometric MeanNaN
Harmonic Mean-39.3416462537721
Quadratic Mean32.3855525728225
Winsorized Mean ( 1 / 22 )4.815988550039343.682594488301511.30777053116717
Winsorized Mean ( 2 / 22 )4.813609584828153.605437746609921.33509712915005
Winsorized Mean ( 3 / 22 )4.718936457686833.58327216422851.3169349804895
Winsorized Mean ( 4 / 22 )4.943042358885253.440843447144891.43657868624823
Winsorized Mean ( 5 / 22 )4.969427610015163.404884208135251.4594997380944
Winsorized Mean ( 6 / 22 )4.710057427903343.344521773426051.40829025701886
Winsorized Mean ( 7 / 22 )4.78986092308583.307827051869911.44803850019247
Winsorized Mean ( 8 / 22 )4.809926101858883.266986265230721.47228231506483
Winsorized Mean ( 9 / 22 )4.835580736592713.253739557755531.48616096978836
Winsorized Mean ( 10 / 22 )4.588710378830933.141287443473541.46077379463144
Winsorized Mean ( 11 / 22 )4.96271571400513.061415201211121.62105280983834
Winsorized Mean ( 12 / 22 )4.713741057267312.995314806637921.57370472272937
Winsorized Mean ( 13 / 22 )4.729918312502822.992118896910241.58079223301824
Winsorized Mean ( 14 / 22 )4.170306358283532.743800259055741.51990158340414
Winsorized Mean ( 15 / 22 )3.328340604562712.573528974855761.29329828305091
Winsorized Mean ( 16 / 22 )2.565472795190032.437408604763401.05254112510161
Winsorized Mean ( 17 / 22 )2.238263621517402.349627238105320.952603708885448
Winsorized Mean ( 18 / 22 )1.959219207056872.174462604136520.901013061033938
Winsorized Mean ( 19 / 22 )2.929020203750542.032193918235961.44130940333345
Winsorized Mean ( 20 / 22 )0.2010462192385961.556763333299960.129143727205103
Winsorized Mean ( 21 / 22 )0.1606750587002801.484411944763700.108241556036426
Winsorized Mean ( 22 / 22 )-0.2990054267741771.39866888148196-0.213778565272264
Trimmed Mean ( 1 / 22 )4.648504615203353.592495075783971.29394877853491
Trimmed Mean ( 2 / 22 )4.470552934440113.484073780001661.28313957072344
Trimmed Mean ( 3 / 22 )4.282425093904743.402993937676091.25842865792151
Trimmed Mean ( 4 / 22 )4.117520800920393.314518129352921.24226829971337
Trimmed Mean ( 5 / 22 )3.875557585654833.258992073460341.18918901865871
Trimmed Mean ( 6 / 22 )3.60990343688163.200637383957971.12787017203977
Trimmed Mean ( 7 / 22 )3.379006920247413.144550729946171.07455951912891
Trimmed Mean ( 8 / 22 )3.115440787849033.082478712533451.01069336673164
Trimmed Mean ( 9 / 22 )2.827378284467363.012985876854190.93839745688399
Trimmed Mean ( 10 / 22 )2.511272342929112.926251526070630.858187452635435
Trimmed Mean ( 11 / 22 )2.204172807187102.842092876934680.775545663927913
Trimmed Mean ( 12 / 22 )1.81660892771682.749685210250130.660660689792758
Trimmed Mean ( 13 / 22 )1.425726021348872.643856487977800.539259989273989
Trimmed Mean ( 14 / 22 )0.993639337121052.501341231486350.397242617126096
Trimmed Mean ( 15 / 22 )0.5875991915589292.378242944357580.247072820273899
Trimmed Mean ( 16 / 22 )0.2424687914028972.259471859959830.107312153649574
Trimmed Mean ( 17 / 22 )-0.04790670907049422.13558137680993-0.0224326310346721
Trimmed Mean ( 18 / 22 )-0.3336780003939811.98660859338906-0.167963634862136
Trimmed Mean ( 19 / 22 )-0.62241320429521.82995467655026-0.340124928923674
Trimmed Mean ( 20 / 22 )-1.076355820361201.63685241093371-0.65757658611824
Trimmed Mean ( 21 / 22 )-1.243400702462711.55339209725963-0.800442273818834
Trimmed Mean ( 22 / 22 )-1.432839495635491.44830081984348-0.989324507729228
Median-1.95225364021973
Midrange31.7731339029136
Midmean - Weighted Average at Xnp-0.616803189028742
Midmean - Weighted Average at X(n+1)p-0.0479067090704957
Midmean - Empirical Distribution Function-0.616803189028742
Midmean - Empirical Distribution Function - Averaging-0.0479067090704957
Midmean - Empirical Distribution Function - Interpolation-0.0479067090704957
Midmean - Closest Observation-0.616803189028742
Midmean - True Basic - Statistics Graphics Toolkit-0.0479067090704957
Midmean - MS Excel (old versions)0.242468791402895
Number of observations68



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')