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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationFri, 09 Oct 2015 10:12:14 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/09/t1444381968gcoono7rv33i3si.htm/, Retrieved Tue, 14 May 2024 15:14:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281764, Retrieved Tue, 14 May 2024 15:14:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact60
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2015-10-09 09:12:14] [822b7cc50e4a16589bd43fa8379da378] [Current]
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Dataseries X:
98,71
100,46
100,46
100,67
100,01
100,01
99,99
99,98
99,87
99,91
96,59
96,99
96,68
96,57
96,55
96,78
95,99
97,54
97,45
97,58
97,66
97,67
97,71
98,52
98,87
97,91
97,92
97,97
97,97
97,97
97,58
97,57
96,7
96,72
96,72
96,74
101,2
100,59
100,58
99,62
99,63
99,17
99,17
98,99
98,92
99,52
99,45
99,04
99,23
98,71
98,73
97,1
100,94
100,93
101,02
101,01
100,86
100,56
100,75
100,15
99,49
99,15
99,15
99,14
98,77
98,8
99,29
98,38
98,31
98,24
96,99
96,81




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281764&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281764&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281764&T=0

As an alternative you can also use a QR Code:  

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

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







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean98.74138888888890.167299304654426590.208005304323
Geometric Mean98.7313207925661
Harmonic Mean98.7212479900617
Quadratic Mean98.7514511426428
Winsorized Mean ( 1 / 24 )98.74666666666670.165167790628297597.856678296871
Winsorized Mean ( 2 / 24 )98.74694444444450.165010389829009598.428647715882
Winsorized Mean ( 3 / 24 )98.74486111111110.164299860537837601.003925309913
Winsorized Mean ( 4 / 24 )98.74930555555560.163287255931034604.758191277727
Winsorized Mean ( 5 / 24 )98.74583333333330.162136284904487609.029825689563
Winsorized Mean ( 6 / 24 )98.73833333333330.160187683348982616.391543151441
Winsorized Mean ( 7 / 24 )98.73055555555560.158830931570362621.607860505546
Winsorized Mean ( 8 / 24 )98.72388888888890.156926110663471629.110658968685
Winsorized Mean ( 9 / 24 )98.72763888888890.155831543643605633.5536219463
Winsorized Mean ( 10 / 24 )98.72902777777780.154636501394293638.458752542764
Winsorized Mean ( 11 / 24 )98.741250.147400922600804669.88217073386
Winsorized Mean ( 12 / 24 )98.741250.147400922600804669.88217073386
Winsorized Mean ( 13 / 24 )98.70513888888890.135255799076074729.76640974464
Winsorized Mean ( 14 / 24 )98.74597222222220.120310900676885820.756653525695
Winsorized Mean ( 15 / 24 )98.76472222222220.117511856729089840.466017398685
Winsorized Mean ( 16 / 24 )98.76694444444440.115875526629696852.35379132364
Winsorized Mean ( 17 / 24 )98.76694444444440.115181804799379857.487383675521
Winsorized Mean ( 18 / 24 )98.74944444444440.112613512353834876.888060592339
Winsorized Mean ( 19 / 24 )98.760.108025202820659914.231099977281
Winsorized Mean ( 20 / 24 )98.69611111111110.09832150711799741003.80999034793
Winsorized Mean ( 21 / 24 )98.70486111111110.09622409475086961025.78113482558
Winsorized Mean ( 22 / 24 )98.73541666666670.08343161751080641183.42925155296
Winsorized Mean ( 23 / 24 )98.72902777777780.08172321500159211208.09035444646
Winsorized Mean ( 24 / 24 )98.73236111111110.07766685130031971271.22909527175
Trimmed Mean ( 1 / 24 )98.74557142857140.163719655821941603.138156703465
Trimmed Mean ( 2 / 24 )98.74441176470590.161934012286092609.781789326954
Trimmed Mean ( 3 / 24 )98.74303030303030.159843450467016617.748365757445
Trimmed Mean ( 4 / 24 )98.742343750.157600865627706626.534272871667
Trimmed Mean ( 5 / 24 )98.74032258064520.155208865900251636.177076663283
Trimmed Mean ( 6 / 24 )98.7390.152615187580483646.980169964599
Trimmed Mean ( 7 / 24 )98.73913793103450.149945601041825658.499730869013
Trimmed Mean ( 8 / 24 )98.74071428571430.146966922937945671.85671654435
Trimmed Mean ( 9 / 24 )98.74351851851850.143703913076998687.131730822186
Trimmed Mean ( 10 / 24 )98.74596153846150.139858595798244706.041419727321
Trimmed Mean ( 11 / 24 )98.74840.135277902927301729.9669632894
Trimmed Mean ( 12 / 24 )98.7493750.131166481786122752.855254294458
Trimmed Mean ( 13 / 24 )98.75043478260870.125863186408583784.585529735759
Trimmed Mean ( 14 / 24 )98.75613636363640.12188582321827810.234806280848
Trimmed Mean ( 15 / 24 )98.7573809523810.120079367638167822.434219090533
Trimmed Mean ( 16 / 24 )98.75650.118154912438431835.822209689846
Trimmed Mean ( 17 / 24 )98.75526315789470.115785238510416852.91756037632
Trimmed Mean ( 18 / 24 )98.75388888888890.112573981161581877.235466578592
Trimmed Mean ( 19 / 24 )98.75441176470590.10868373976784908.640169869532
Trimmed Mean ( 20 / 24 )98.753750.10439413336316945.970303297232
Trimmed Mean ( 21 / 24 )98.76066666666670.100956270644153978.251930628206
Trimmed Mean ( 22 / 24 )98.76750.0963866016836731024.70154850091
Trimmed Mean ( 23 / 24 )98.77153846153850.09382092977531921052.76657029593
Trimmed Mean ( 24 / 24 )98.77708333333330.09008345399447651096.50639438614
Median98.835
Midrange98.595
Midmean - Weighted Average at Xnp98.7221621621621
Midmean - Weighted Average at X(n+1)p98.7221621621621
Midmean - Empirical Distribution Function98.7221621621621
Midmean - Empirical Distribution Function - Averaging98.7221621621621
Midmean - Empirical Distribution Function - Interpolation98.7221621621621
Midmean - Closest Observation98.7221621621621
Midmean - True Basic - Statistics Graphics Toolkit98.7221621621621
Midmean - MS Excel (old versions)98.7552631578947
Number of observations72

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 98.7413888888889 & 0.167299304654426 & 590.208005304323 \tabularnewline
Geometric Mean & 98.7313207925661 &  &  \tabularnewline
Harmonic Mean & 98.7212479900617 &  &  \tabularnewline
Quadratic Mean & 98.7514511426428 &  &  \tabularnewline
Winsorized Mean ( 1 / 24 ) & 98.7466666666667 & 0.165167790628297 & 597.856678296871 \tabularnewline
Winsorized Mean ( 2 / 24 ) & 98.7469444444445 & 0.165010389829009 & 598.428647715882 \tabularnewline
Winsorized Mean ( 3 / 24 ) & 98.7448611111111 & 0.164299860537837 & 601.003925309913 \tabularnewline
Winsorized Mean ( 4 / 24 ) & 98.7493055555556 & 0.163287255931034 & 604.758191277727 \tabularnewline
Winsorized Mean ( 5 / 24 ) & 98.7458333333333 & 0.162136284904487 & 609.029825689563 \tabularnewline
Winsorized Mean ( 6 / 24 ) & 98.7383333333333 & 0.160187683348982 & 616.391543151441 \tabularnewline
Winsorized Mean ( 7 / 24 ) & 98.7305555555556 & 0.158830931570362 & 621.607860505546 \tabularnewline
Winsorized Mean ( 8 / 24 ) & 98.7238888888889 & 0.156926110663471 & 629.110658968685 \tabularnewline
Winsorized Mean ( 9 / 24 ) & 98.7276388888889 & 0.155831543643605 & 633.5536219463 \tabularnewline
Winsorized Mean ( 10 / 24 ) & 98.7290277777778 & 0.154636501394293 & 638.458752542764 \tabularnewline
Winsorized Mean ( 11 / 24 ) & 98.74125 & 0.147400922600804 & 669.88217073386 \tabularnewline
Winsorized Mean ( 12 / 24 ) & 98.74125 & 0.147400922600804 & 669.88217073386 \tabularnewline
Winsorized Mean ( 13 / 24 ) & 98.7051388888889 & 0.135255799076074 & 729.76640974464 \tabularnewline
Winsorized Mean ( 14 / 24 ) & 98.7459722222222 & 0.120310900676885 & 820.756653525695 \tabularnewline
Winsorized Mean ( 15 / 24 ) & 98.7647222222222 & 0.117511856729089 & 840.466017398685 \tabularnewline
Winsorized Mean ( 16 / 24 ) & 98.7669444444444 & 0.115875526629696 & 852.35379132364 \tabularnewline
Winsorized Mean ( 17 / 24 ) & 98.7669444444444 & 0.115181804799379 & 857.487383675521 \tabularnewline
Winsorized Mean ( 18 / 24 ) & 98.7494444444444 & 0.112613512353834 & 876.888060592339 \tabularnewline
Winsorized Mean ( 19 / 24 ) & 98.76 & 0.108025202820659 & 914.231099977281 \tabularnewline
Winsorized Mean ( 20 / 24 ) & 98.6961111111111 & 0.0983215071179974 & 1003.80999034793 \tabularnewline
Winsorized Mean ( 21 / 24 ) & 98.7048611111111 & 0.0962240947508696 & 1025.78113482558 \tabularnewline
Winsorized Mean ( 22 / 24 ) & 98.7354166666667 & 0.0834316175108064 & 1183.42925155296 \tabularnewline
Winsorized Mean ( 23 / 24 ) & 98.7290277777778 & 0.0817232150015921 & 1208.09035444646 \tabularnewline
Winsorized Mean ( 24 / 24 ) & 98.7323611111111 & 0.0776668513003197 & 1271.22909527175 \tabularnewline
Trimmed Mean ( 1 / 24 ) & 98.7455714285714 & 0.163719655821941 & 603.138156703465 \tabularnewline
Trimmed Mean ( 2 / 24 ) & 98.7444117647059 & 0.161934012286092 & 609.781789326954 \tabularnewline
Trimmed Mean ( 3 / 24 ) & 98.7430303030303 & 0.159843450467016 & 617.748365757445 \tabularnewline
Trimmed Mean ( 4 / 24 ) & 98.74234375 & 0.157600865627706 & 626.534272871667 \tabularnewline
Trimmed Mean ( 5 / 24 ) & 98.7403225806452 & 0.155208865900251 & 636.177076663283 \tabularnewline
Trimmed Mean ( 6 / 24 ) & 98.739 & 0.152615187580483 & 646.980169964599 \tabularnewline
Trimmed Mean ( 7 / 24 ) & 98.7391379310345 & 0.149945601041825 & 658.499730869013 \tabularnewline
Trimmed Mean ( 8 / 24 ) & 98.7407142857143 & 0.146966922937945 & 671.85671654435 \tabularnewline
Trimmed Mean ( 9 / 24 ) & 98.7435185185185 & 0.143703913076998 & 687.131730822186 \tabularnewline
Trimmed Mean ( 10 / 24 ) & 98.7459615384615 & 0.139858595798244 & 706.041419727321 \tabularnewline
Trimmed Mean ( 11 / 24 ) & 98.7484 & 0.135277902927301 & 729.9669632894 \tabularnewline
Trimmed Mean ( 12 / 24 ) & 98.749375 & 0.131166481786122 & 752.855254294458 \tabularnewline
Trimmed Mean ( 13 / 24 ) & 98.7504347826087 & 0.125863186408583 & 784.585529735759 \tabularnewline
Trimmed Mean ( 14 / 24 ) & 98.7561363636364 & 0.12188582321827 & 810.234806280848 \tabularnewline
Trimmed Mean ( 15 / 24 ) & 98.757380952381 & 0.120079367638167 & 822.434219090533 \tabularnewline
Trimmed Mean ( 16 / 24 ) & 98.7565 & 0.118154912438431 & 835.822209689846 \tabularnewline
Trimmed Mean ( 17 / 24 ) & 98.7552631578947 & 0.115785238510416 & 852.91756037632 \tabularnewline
Trimmed Mean ( 18 / 24 ) & 98.7538888888889 & 0.112573981161581 & 877.235466578592 \tabularnewline
Trimmed Mean ( 19 / 24 ) & 98.7544117647059 & 0.10868373976784 & 908.640169869532 \tabularnewline
Trimmed Mean ( 20 / 24 ) & 98.75375 & 0.10439413336316 & 945.970303297232 \tabularnewline
Trimmed Mean ( 21 / 24 ) & 98.7606666666667 & 0.100956270644153 & 978.251930628206 \tabularnewline
Trimmed Mean ( 22 / 24 ) & 98.7675 & 0.096386601683673 & 1024.70154850091 \tabularnewline
Trimmed Mean ( 23 / 24 ) & 98.7715384615385 & 0.0938209297753192 & 1052.76657029593 \tabularnewline
Trimmed Mean ( 24 / 24 ) & 98.7770833333333 & 0.0900834539944765 & 1096.50639438614 \tabularnewline
Median & 98.835 &  &  \tabularnewline
Midrange & 98.595 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 98.7221621621621 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 98.7221621621621 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 98.7221621621621 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 98.7221621621621 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 98.7221621621621 &  &  \tabularnewline
Midmean - Closest Observation & 98.7221621621621 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 98.7221621621621 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 98.7552631578947 &  &  \tabularnewline
Number of observations & 72 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281764&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]98.7413888888889[/C][C]0.167299304654426[/C][C]590.208005304323[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]98.7313207925661[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]98.7212479900617[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]98.7514511426428[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 24 )[/C][C]98.7466666666667[/C][C]0.165167790628297[/C][C]597.856678296871[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 24 )[/C][C]98.7469444444445[/C][C]0.165010389829009[/C][C]598.428647715882[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 24 )[/C][C]98.7448611111111[/C][C]0.164299860537837[/C][C]601.003925309913[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 24 )[/C][C]98.7493055555556[/C][C]0.163287255931034[/C][C]604.758191277727[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 24 )[/C][C]98.7458333333333[/C][C]0.162136284904487[/C][C]609.029825689563[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 24 )[/C][C]98.7383333333333[/C][C]0.160187683348982[/C][C]616.391543151441[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 24 )[/C][C]98.7305555555556[/C][C]0.158830931570362[/C][C]621.607860505546[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 24 )[/C][C]98.7238888888889[/C][C]0.156926110663471[/C][C]629.110658968685[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 24 )[/C][C]98.7276388888889[/C][C]0.155831543643605[/C][C]633.5536219463[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 24 )[/C][C]98.7290277777778[/C][C]0.154636501394293[/C][C]638.458752542764[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 24 )[/C][C]98.74125[/C][C]0.147400922600804[/C][C]669.88217073386[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 24 )[/C][C]98.74125[/C][C]0.147400922600804[/C][C]669.88217073386[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 24 )[/C][C]98.7051388888889[/C][C]0.135255799076074[/C][C]729.76640974464[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 24 )[/C][C]98.7459722222222[/C][C]0.120310900676885[/C][C]820.756653525695[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 24 )[/C][C]98.7647222222222[/C][C]0.117511856729089[/C][C]840.466017398685[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 24 )[/C][C]98.7669444444444[/C][C]0.115875526629696[/C][C]852.35379132364[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 24 )[/C][C]98.7669444444444[/C][C]0.115181804799379[/C][C]857.487383675521[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 24 )[/C][C]98.7494444444444[/C][C]0.112613512353834[/C][C]876.888060592339[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 24 )[/C][C]98.76[/C][C]0.108025202820659[/C][C]914.231099977281[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 24 )[/C][C]98.6961111111111[/C][C]0.0983215071179974[/C][C]1003.80999034793[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 24 )[/C][C]98.7048611111111[/C][C]0.0962240947508696[/C][C]1025.78113482558[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 24 )[/C][C]98.7354166666667[/C][C]0.0834316175108064[/C][C]1183.42925155296[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 24 )[/C][C]98.7290277777778[/C][C]0.0817232150015921[/C][C]1208.09035444646[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 24 )[/C][C]98.7323611111111[/C][C]0.0776668513003197[/C][C]1271.22909527175[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 24 )[/C][C]98.7455714285714[/C][C]0.163719655821941[/C][C]603.138156703465[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 24 )[/C][C]98.7444117647059[/C][C]0.161934012286092[/C][C]609.781789326954[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 24 )[/C][C]98.7430303030303[/C][C]0.159843450467016[/C][C]617.748365757445[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 24 )[/C][C]98.74234375[/C][C]0.157600865627706[/C][C]626.534272871667[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 24 )[/C][C]98.7403225806452[/C][C]0.155208865900251[/C][C]636.177076663283[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 24 )[/C][C]98.739[/C][C]0.152615187580483[/C][C]646.980169964599[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 24 )[/C][C]98.7391379310345[/C][C]0.149945601041825[/C][C]658.499730869013[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 24 )[/C][C]98.7407142857143[/C][C]0.146966922937945[/C][C]671.85671654435[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 24 )[/C][C]98.7435185185185[/C][C]0.143703913076998[/C][C]687.131730822186[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 24 )[/C][C]98.7459615384615[/C][C]0.139858595798244[/C][C]706.041419727321[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 24 )[/C][C]98.7484[/C][C]0.135277902927301[/C][C]729.9669632894[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 24 )[/C][C]98.749375[/C][C]0.131166481786122[/C][C]752.855254294458[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 24 )[/C][C]98.7504347826087[/C][C]0.125863186408583[/C][C]784.585529735759[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 24 )[/C][C]98.7561363636364[/C][C]0.12188582321827[/C][C]810.234806280848[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 24 )[/C][C]98.757380952381[/C][C]0.120079367638167[/C][C]822.434219090533[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 24 )[/C][C]98.7565[/C][C]0.118154912438431[/C][C]835.822209689846[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 24 )[/C][C]98.7552631578947[/C][C]0.115785238510416[/C][C]852.91756037632[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 24 )[/C][C]98.7538888888889[/C][C]0.112573981161581[/C][C]877.235466578592[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 24 )[/C][C]98.7544117647059[/C][C]0.10868373976784[/C][C]908.640169869532[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 24 )[/C][C]98.75375[/C][C]0.10439413336316[/C][C]945.970303297232[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 24 )[/C][C]98.7606666666667[/C][C]0.100956270644153[/C][C]978.251930628206[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 24 )[/C][C]98.7675[/C][C]0.096386601683673[/C][C]1024.70154850091[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 24 )[/C][C]98.7715384615385[/C][C]0.0938209297753192[/C][C]1052.76657029593[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 24 )[/C][C]98.7770833333333[/C][C]0.0900834539944765[/C][C]1096.50639438614[/C][/ROW]
[ROW][C]Median[/C][C]98.835[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]98.595[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]98.7221621621621[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]98.7221621621621[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]98.7221621621621[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]98.7221621621621[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]98.7221621621621[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]98.7221621621621[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]98.7221621621621[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]98.7552631578947[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]72[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281764&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281764&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 Mean98.74138888888890.167299304654426590.208005304323
Geometric Mean98.7313207925661
Harmonic Mean98.7212479900617
Quadratic Mean98.7514511426428
Winsorized Mean ( 1 / 24 )98.74666666666670.165167790628297597.856678296871
Winsorized Mean ( 2 / 24 )98.74694444444450.165010389829009598.428647715882
Winsorized Mean ( 3 / 24 )98.74486111111110.164299860537837601.003925309913
Winsorized Mean ( 4 / 24 )98.74930555555560.163287255931034604.758191277727
Winsorized Mean ( 5 / 24 )98.74583333333330.162136284904487609.029825689563
Winsorized Mean ( 6 / 24 )98.73833333333330.160187683348982616.391543151441
Winsorized Mean ( 7 / 24 )98.73055555555560.158830931570362621.607860505546
Winsorized Mean ( 8 / 24 )98.72388888888890.156926110663471629.110658968685
Winsorized Mean ( 9 / 24 )98.72763888888890.155831543643605633.5536219463
Winsorized Mean ( 10 / 24 )98.72902777777780.154636501394293638.458752542764
Winsorized Mean ( 11 / 24 )98.741250.147400922600804669.88217073386
Winsorized Mean ( 12 / 24 )98.741250.147400922600804669.88217073386
Winsorized Mean ( 13 / 24 )98.70513888888890.135255799076074729.76640974464
Winsorized Mean ( 14 / 24 )98.74597222222220.120310900676885820.756653525695
Winsorized Mean ( 15 / 24 )98.76472222222220.117511856729089840.466017398685
Winsorized Mean ( 16 / 24 )98.76694444444440.115875526629696852.35379132364
Winsorized Mean ( 17 / 24 )98.76694444444440.115181804799379857.487383675521
Winsorized Mean ( 18 / 24 )98.74944444444440.112613512353834876.888060592339
Winsorized Mean ( 19 / 24 )98.760.108025202820659914.231099977281
Winsorized Mean ( 20 / 24 )98.69611111111110.09832150711799741003.80999034793
Winsorized Mean ( 21 / 24 )98.70486111111110.09622409475086961025.78113482558
Winsorized Mean ( 22 / 24 )98.73541666666670.08343161751080641183.42925155296
Winsorized Mean ( 23 / 24 )98.72902777777780.08172321500159211208.09035444646
Winsorized Mean ( 24 / 24 )98.73236111111110.07766685130031971271.22909527175
Trimmed Mean ( 1 / 24 )98.74557142857140.163719655821941603.138156703465
Trimmed Mean ( 2 / 24 )98.74441176470590.161934012286092609.781789326954
Trimmed Mean ( 3 / 24 )98.74303030303030.159843450467016617.748365757445
Trimmed Mean ( 4 / 24 )98.742343750.157600865627706626.534272871667
Trimmed Mean ( 5 / 24 )98.74032258064520.155208865900251636.177076663283
Trimmed Mean ( 6 / 24 )98.7390.152615187580483646.980169964599
Trimmed Mean ( 7 / 24 )98.73913793103450.149945601041825658.499730869013
Trimmed Mean ( 8 / 24 )98.74071428571430.146966922937945671.85671654435
Trimmed Mean ( 9 / 24 )98.74351851851850.143703913076998687.131730822186
Trimmed Mean ( 10 / 24 )98.74596153846150.139858595798244706.041419727321
Trimmed Mean ( 11 / 24 )98.74840.135277902927301729.9669632894
Trimmed Mean ( 12 / 24 )98.7493750.131166481786122752.855254294458
Trimmed Mean ( 13 / 24 )98.75043478260870.125863186408583784.585529735759
Trimmed Mean ( 14 / 24 )98.75613636363640.12188582321827810.234806280848
Trimmed Mean ( 15 / 24 )98.7573809523810.120079367638167822.434219090533
Trimmed Mean ( 16 / 24 )98.75650.118154912438431835.822209689846
Trimmed Mean ( 17 / 24 )98.75526315789470.115785238510416852.91756037632
Trimmed Mean ( 18 / 24 )98.75388888888890.112573981161581877.235466578592
Trimmed Mean ( 19 / 24 )98.75441176470590.10868373976784908.640169869532
Trimmed Mean ( 20 / 24 )98.753750.10439413336316945.970303297232
Trimmed Mean ( 21 / 24 )98.76066666666670.100956270644153978.251930628206
Trimmed Mean ( 22 / 24 )98.76750.0963866016836731024.70154850091
Trimmed Mean ( 23 / 24 )98.77153846153850.09382092977531921052.76657029593
Trimmed Mean ( 24 / 24 )98.77708333333330.09008345399447651096.50639438614
Median98.835
Midrange98.595
Midmean - Weighted Average at Xnp98.7221621621621
Midmean - Weighted Average at X(n+1)p98.7221621621621
Midmean - Empirical Distribution Function98.7221621621621
Midmean - Empirical Distribution Function - Averaging98.7221621621621
Midmean - Empirical Distribution Function - Interpolation98.7221621621621
Midmean - Closest Observation98.7221621621621
Midmean - True Basic - Statistics Graphics Toolkit98.7221621621621
Midmean - MS Excel (old versions)98.7552631578947
Number of observations72



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
geomean <- function(x) {
return(exp(mean(log(x))))
}
harmean <- function(x) {
return(1/mean(1/x))
}
quamean <- function(x) {
return(sqrt(mean(x*x)))
}
winmean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
win <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
win[j,1] <- (j*x[j+1]+sum(x[(j+1):(n-j)])+j*x[n-j])/n
win[j,2] <- sd(c(rep(x[j+1],j),x[(j+1):(n-j)],rep(x[n-j],j)))/sqrtn
}
return(win)
}
trimean <- function(x) {
x <-sort(x[!is.na(x)])
n<-length(x)
denom <- 3
nodenom <- n/denom
if (nodenom>40) denom <- n/40
sqrtn = sqrt(n)
roundnodenom = floor(nodenom)
tri <- array(NA,dim=c(roundnodenom,2))
for (j in 1:roundnodenom) {
tri[j,1] <- mean(x,trim=j/n)
tri[j,2] <- sd(x[(j+1):(n-j)]) / sqrt(n-j*2)
}
return(tri)
}
midrange <- function(x) {
return((max(x)+min(x))/2)
}
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
midmean <- function(x,def) {
x <-sort(x[!is.na(x)])
n<-length(x)
if (def==1) {
qvalue1 <- q1(x,n,0.25,i,f)
qvalue3 <- q1(x,n,0.75,i,f)
}
if (def==2) {
qvalue1 <- q2(x,n,0.25,i,f)
qvalue3 <- q2(x,n,0.75,i,f)
}
if (def==3) {
qvalue1 <- q3(x,n,0.25,i,f)
qvalue3 <- q3(x,n,0.75,i,f)
}
if (def==4) {
qvalue1 <- q4(x,n,0.25,i,f)
qvalue3 <- q4(x,n,0.75,i,f)
}
if (def==5) {
qvalue1 <- q5(x,n,0.25,i,f)
qvalue3 <- q5(x,n,0.75,i,f)
}
if (def==6) {
qvalue1 <- q6(x,n,0.25,i,f)
qvalue3 <- q6(x,n,0.75,i,f)
}
if (def==7) {
qvalue1 <- q7(x,n,0.25,i,f)
qvalue3 <- q7(x,n,0.75,i,f)
}
if (def==8) {
qvalue1 <- q8(x,n,0.25,i,f)
qvalue3 <- q8(x,n,0.75,i,f)
}
midm <- 0
myn <- 0
roundno4 <- round(n/4)
round3no4 <- round(3*n/4)
for (i in 1:n) {
if ((x[i]>=qvalue1) & (x[i]<=qvalue3)){
midm = midm + x[i]
myn = myn + 1
}
}
midm = midm / myn
return(midm)
}
(arm <- mean(x))
sqrtn <- sqrt(length(x))
(armse <- sd(x) / sqrtn)
(armose <- arm / armse)
(geo <- geomean(x))
(har <- harmean(x))
(qua <- quamean(x))
(win <- winmean(x))
(tri <- trimean(x))
(midr <- midrange(x))
midm <- array(NA,dim=8)
for (j in 1:8) midm[j] <- midmean(x,j)
midm
bitmap(file='test1.png')
lb <- win[,1] - 2*win[,2]
ub <- win[,1] + 2*win[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(win[,1],type='b',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(win[,1],type='l',main=main, xlab='j', pch=19, ylab='Winsorized Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
bitmap(file='test2.png')
lb <- tri[,1] - 2*tri[,2]
ub <- tri[,1] + 2*tri[,2]
if ((ylimmin == '') | (ylimmax == '')) plot(tri[,1],type='b',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(min(lb),max(ub))) else plot(tri[,1],type='l',main=main, xlab='j', pch=19, ylab='Trimmed Mean(j/n)', ylim=c(ylimmin,ylimmax))
lines(ub,lty=3)
lines(lb,lty=3)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Central Tendency - Ungrouped Data',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Measure',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.element(a,'S.E.',header=TRUE)
a<-table.element(a,'Value/S.E.',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('arithmetic_mean.htm', 'Arithmetic Mean', 'click to view the definition of the Arithmetic Mean'),header=TRUE)
a<-table.element(a,arm)
a<-table.element(a,hyperlink('arithmetic_mean_standard_error.htm', armse, 'click to view the definition of the Standard Error of the Arithmetic Mean'))
a<-table.element(a,armose)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('geometric_mean.htm', 'Geometric Mean', 'click to view the definition of the Geometric Mean'),header=TRUE)
a<-table.element(a,geo)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('harmonic_mean.htm', 'Harmonic Mean', 'click to view the definition of the Harmonic Mean'),header=TRUE)
a<-table.element(a,har)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('quadratic_mean.htm', 'Quadratic Mean', 'click to view the definition of the Quadratic Mean'),header=TRUE)
a<-table.element(a,qua)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
for (j in 1:length(win[,1])) {
a<-table.row.start(a)
mylabel <- paste('Winsorized Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(win[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('winsorized_mean.htm', mylabel, 'click to view the definition of the Winsorized Mean'),header=TRUE)
a<-table.element(a,win[j,1])
a<-table.element(a,win[j,2])
a<-table.element(a,win[j,1]/win[j,2])
a<-table.row.end(a)
}
for (j in 1:length(tri[,1])) {
a<-table.row.start(a)
mylabel <- paste('Trimmed Mean (',j)
mylabel <- paste(mylabel,'/')
mylabel <- paste(mylabel,length(tri[,1]))
mylabel <- paste(mylabel,')')
a<-table.element(a,hyperlink('arithmetic_mean.htm', mylabel, 'click to view the definition of the Trimmed Mean'),header=TRUE)
a<-table.element(a,tri[j,1])
a<-table.element(a,tri[j,2])
a<-table.element(a,tri[j,1]/tri[j,2])
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,hyperlink('median_1.htm', 'Median', 'click to view the definition of the Median'),header=TRUE)
a<-table.element(a,median(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('midrange.htm', 'Midrange', 'click to view the definition of the Midrange'),header=TRUE)
a<-table.element(a,midr)
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_1.htm','Weighted Average at Xnp',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[1])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_2.htm','Weighted Average at X(n+1)p',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[2])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_3.htm','Empirical Distribution Function',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[3])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_4.htm','Empirical Distribution Function - Averaging',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[4])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_5.htm','Empirical Distribution Function - Interpolation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[5])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_6.htm','Closest Observation',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[6])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_7.htm','True Basic - Statistics Graphics Toolkit',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[7])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
mymid <- hyperlink('midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('method_8.htm','MS Excel (old versions)',''),sep=' - ')
a<-table.element(a,mylabel,header=TRUE)
a<-table.element(a,midm[8])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')