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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationWed, 07 Mar 2012 07:39:49 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Mar/07/t1331124023g02bqywcm8s3xit.htm/, Retrieved Sun, 28 Apr 2024 19:09:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163597, Retrieved Sun, 28 Apr 2024 19:09:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2012-03-07 12:39:49] [30c94b4dfb4338ed9c3f059abdec5f3e] [Current]
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Dataseries X:
98,19
98,19
98,19
98,19
98,19
98,19
98,19
100,48
102,78
102,78
102,78
102,78
102,78
102,78
102,78
102,78
102,78
102,78
102,78
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
104,47
104,47
104,47
104,47
104,47
104,47
104,47
104,47
105,5
105,5
105,5
105,5
106,61
106,61
106,61
106,61
106,61
106,61
106,61
106,61
112,06
112,06
112,06
112,06
111,18
111,18
111,18




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=163597&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=163597&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163597&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 Mean104.2904285714290.417654568935828249.704986676328
Geometric Mean104.233125041403
Harmonic Mean104.176203039953
Quadratic Mean104.348117040989
Winsorized Mean ( 1 / 23 )104.2904285714290.417654568935828249.704986676328
Winsorized Mean ( 2 / 23 )104.2904285714290.417654568935828249.704986676328
Winsorized Mean ( 3 / 23 )104.2904285714290.417654568935828249.704986676328
Winsorized Mean ( 4 / 23 )104.2401428571430.404617627068905257.626301682084
Winsorized Mean ( 5 / 23 )104.2401428571430.404617627068905257.626301682084
Winsorized Mean ( 6 / 23 )104.2401428571430.404617627068905257.626301682084
Winsorized Mean ( 7 / 23 )104.0121428571430.262189371990885396.706174881714
Winsorized Mean ( 8 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 9 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 10 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 11 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 12 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 13 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 14 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 15 / 23 )103.9724285714290.214473734628071484.779307600216
Winsorized Mean ( 16 / 23 )103.9724285714290.214473734628071484.779307600216
Winsorized Mean ( 17 / 23 )103.9724285714290.214473734628071484.779307600216
Winsorized Mean ( 18 / 23 )103.9724285714290.214473734628071484.779307600216
Winsorized Mean ( 19 / 23 )103.9724285714290.214473734628071484.779307600216
Winsorized Mean ( 20 / 23 )104.2895714285710.168754226781116617.996795800802
Winsorized Mean ( 21 / 23 )104.2895714285710.168754226781116617.996795800802
Winsorized Mean ( 22 / 23 )104.2895714285710.168754226781116617.996795800802
Winsorized Mean ( 23 / 23 )104.2895714285710.168754226781116617.996795800802
Trimmed Mean ( 1 / 23 )104.2658823529410.404349770968707257.86061929292
Trimmed Mean ( 2 / 23 )104.2398484848480.388407452679744268.377570424216
Trimmed Mean ( 3 / 23 )104.21218750.369129477108691282.318790458759
Trimmed Mean ( 4 / 23 )104.1827419354840.345507480080968301.535416573526
Trimmed Mean ( 5 / 23 )104.1660.32180039080993323.697555922252
Trimmed Mean ( 6 / 23 )104.1481034482760.291884116354953356.813192676863
Trimmed Mean ( 7 / 23 )104.1289285714290.25270737640412412.053379893863
Trimmed Mean ( 8 / 23 )104.1505555555560.248824127262497418.570966977338
Trimmed Mean ( 9 / 23 )104.1509615384620.249429403078939417.556872817838
Trimmed Mean ( 10 / 23 )104.15140.249728180391466417.05905932096
Trimmed Mean ( 11 / 23 )104.1518750.249636376735321417.214335354771
Trimmed Mean ( 12 / 23 )104.1523913043480.249044586889957418.207810115418
Trimmed Mean ( 13 / 23 )104.1529545454550.247808487472844420.29615533999
Trimmed Mean ( 14 / 23 )104.1535714285710.245734534116949423.845886386498
Trimmed Mean ( 15 / 23 )104.154250.2425579199929429.399501789299
Trimmed Mean ( 16 / 23 )104.1765789473680.242842717691254428.987864811398
Trimmed Mean ( 17 / 23 )104.2013888888890.242354899406457429.953713104562
Trimmed Mean ( 18 / 23 )104.2291176470590.240782802270742432.876088591499
Trimmed Mean ( 19 / 23 )104.26031250.237665258453155438.685541078147
Trimmed Mean ( 20 / 23 )104.2956666666670.232294246287414448.98084362203
Trimmed Mean ( 21 / 23 )104.2964285714290.236865115929655440.319918625767
Trimmed Mean ( 22 / 23 )104.2973076923080.241422424356663432.011682304313
Trimmed Mean ( 23 / 23 )104.2983333333330.245815462381628424.295251091285
Median104.47
Midrange105.125
Midmean - Weighted Average at Xnp103.784255319149
Midmean - Weighted Average at X(n+1)p103.784255319149
Midmean - Empirical Distribution Function103.784255319149
Midmean - Empirical Distribution Function - Averaging103.784255319149
Midmean - Empirical Distribution Function - Interpolation103.784255319149
Midmean - Closest Observation103.784255319149
Midmean - True Basic - Statistics Graphics Toolkit103.784255319149
Midmean - MS Excel (old versions)103.784255319149
Number of observations70

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 104.290428571429 & 0.417654568935828 & 249.704986676328 \tabularnewline
Geometric Mean & 104.233125041403 &  &  \tabularnewline
Harmonic Mean & 104.176203039953 &  &  \tabularnewline
Quadratic Mean & 104.348117040989 &  &  \tabularnewline
Winsorized Mean ( 1 / 23 ) & 104.290428571429 & 0.417654568935828 & 249.704986676328 \tabularnewline
Winsorized Mean ( 2 / 23 ) & 104.290428571429 & 0.417654568935828 & 249.704986676328 \tabularnewline
Winsorized Mean ( 3 / 23 ) & 104.290428571429 & 0.417654568935828 & 249.704986676328 \tabularnewline
Winsorized Mean ( 4 / 23 ) & 104.240142857143 & 0.404617627068905 & 257.626301682084 \tabularnewline
Winsorized Mean ( 5 / 23 ) & 104.240142857143 & 0.404617627068905 & 257.626301682084 \tabularnewline
Winsorized Mean ( 6 / 23 ) & 104.240142857143 & 0.404617627068905 & 257.626301682084 \tabularnewline
Winsorized Mean ( 7 / 23 ) & 104.012142857143 & 0.262189371990885 & 396.706174881714 \tabularnewline
Winsorized Mean ( 8 / 23 ) & 104.148142857143 & 0.238530724512646 & 436.623596687317 \tabularnewline
Winsorized Mean ( 9 / 23 ) & 104.148142857143 & 0.238530724512646 & 436.623596687317 \tabularnewline
Winsorized Mean ( 10 / 23 ) & 104.148142857143 & 0.238530724512646 & 436.623596687317 \tabularnewline
Winsorized Mean ( 11 / 23 ) & 104.148142857143 & 0.238530724512646 & 436.623596687317 \tabularnewline
Winsorized Mean ( 12 / 23 ) & 104.148142857143 & 0.238530724512646 & 436.623596687317 \tabularnewline
Winsorized Mean ( 13 / 23 ) & 104.148142857143 & 0.238530724512646 & 436.623596687317 \tabularnewline
Winsorized Mean ( 14 / 23 ) & 104.148142857143 & 0.238530724512646 & 436.623596687317 \tabularnewline
Winsorized Mean ( 15 / 23 ) & 103.972428571429 & 0.214473734628071 & 484.779307600216 \tabularnewline
Winsorized Mean ( 16 / 23 ) & 103.972428571429 & 0.214473734628071 & 484.779307600216 \tabularnewline
Winsorized Mean ( 17 / 23 ) & 103.972428571429 & 0.214473734628071 & 484.779307600216 \tabularnewline
Winsorized Mean ( 18 / 23 ) & 103.972428571429 & 0.214473734628071 & 484.779307600216 \tabularnewline
Winsorized Mean ( 19 / 23 ) & 103.972428571429 & 0.214473734628071 & 484.779307600216 \tabularnewline
Winsorized Mean ( 20 / 23 ) & 104.289571428571 & 0.168754226781116 & 617.996795800802 \tabularnewline
Winsorized Mean ( 21 / 23 ) & 104.289571428571 & 0.168754226781116 & 617.996795800802 \tabularnewline
Winsorized Mean ( 22 / 23 ) & 104.289571428571 & 0.168754226781116 & 617.996795800802 \tabularnewline
Winsorized Mean ( 23 / 23 ) & 104.289571428571 & 0.168754226781116 & 617.996795800802 \tabularnewline
Trimmed Mean ( 1 / 23 ) & 104.265882352941 & 0.404349770968707 & 257.86061929292 \tabularnewline
Trimmed Mean ( 2 / 23 ) & 104.239848484848 & 0.388407452679744 & 268.377570424216 \tabularnewline
Trimmed Mean ( 3 / 23 ) & 104.2121875 & 0.369129477108691 & 282.318790458759 \tabularnewline
Trimmed Mean ( 4 / 23 ) & 104.182741935484 & 0.345507480080968 & 301.535416573526 \tabularnewline
Trimmed Mean ( 5 / 23 ) & 104.166 & 0.32180039080993 & 323.697555922252 \tabularnewline
Trimmed Mean ( 6 / 23 ) & 104.148103448276 & 0.291884116354953 & 356.813192676863 \tabularnewline
Trimmed Mean ( 7 / 23 ) & 104.128928571429 & 0.25270737640412 & 412.053379893863 \tabularnewline
Trimmed Mean ( 8 / 23 ) & 104.150555555556 & 0.248824127262497 & 418.570966977338 \tabularnewline
Trimmed Mean ( 9 / 23 ) & 104.150961538462 & 0.249429403078939 & 417.556872817838 \tabularnewline
Trimmed Mean ( 10 / 23 ) & 104.1514 & 0.249728180391466 & 417.05905932096 \tabularnewline
Trimmed Mean ( 11 / 23 ) & 104.151875 & 0.249636376735321 & 417.214335354771 \tabularnewline
Trimmed Mean ( 12 / 23 ) & 104.152391304348 & 0.249044586889957 & 418.207810115418 \tabularnewline
Trimmed Mean ( 13 / 23 ) & 104.152954545455 & 0.247808487472844 & 420.29615533999 \tabularnewline
Trimmed Mean ( 14 / 23 ) & 104.153571428571 & 0.245734534116949 & 423.845886386498 \tabularnewline
Trimmed Mean ( 15 / 23 ) & 104.15425 & 0.2425579199929 & 429.399501789299 \tabularnewline
Trimmed Mean ( 16 / 23 ) & 104.176578947368 & 0.242842717691254 & 428.987864811398 \tabularnewline
Trimmed Mean ( 17 / 23 ) & 104.201388888889 & 0.242354899406457 & 429.953713104562 \tabularnewline
Trimmed Mean ( 18 / 23 ) & 104.229117647059 & 0.240782802270742 & 432.876088591499 \tabularnewline
Trimmed Mean ( 19 / 23 ) & 104.2603125 & 0.237665258453155 & 438.685541078147 \tabularnewline
Trimmed Mean ( 20 / 23 ) & 104.295666666667 & 0.232294246287414 & 448.98084362203 \tabularnewline
Trimmed Mean ( 21 / 23 ) & 104.296428571429 & 0.236865115929655 & 440.319918625767 \tabularnewline
Trimmed Mean ( 22 / 23 ) & 104.297307692308 & 0.241422424356663 & 432.011682304313 \tabularnewline
Trimmed Mean ( 23 / 23 ) & 104.298333333333 & 0.245815462381628 & 424.295251091285 \tabularnewline
Median & 104.47 &  &  \tabularnewline
Midrange & 105.125 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 103.784255319149 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 103.784255319149 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 103.784255319149 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 103.784255319149 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 103.784255319149 &  &  \tabularnewline
Midmean - Closest Observation & 103.784255319149 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 103.784255319149 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 103.784255319149 &  &  \tabularnewline
Number of observations & 70 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163597&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]104.290428571429[/C][C]0.417654568935828[/C][C]249.704986676328[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]104.233125041403[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]104.176203039953[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]104.348117040989[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 23 )[/C][C]104.290428571429[/C][C]0.417654568935828[/C][C]249.704986676328[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 23 )[/C][C]104.290428571429[/C][C]0.417654568935828[/C][C]249.704986676328[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 23 )[/C][C]104.290428571429[/C][C]0.417654568935828[/C][C]249.704986676328[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 23 )[/C][C]104.240142857143[/C][C]0.404617627068905[/C][C]257.626301682084[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 23 )[/C][C]104.240142857143[/C][C]0.404617627068905[/C][C]257.626301682084[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 23 )[/C][C]104.240142857143[/C][C]0.404617627068905[/C][C]257.626301682084[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 23 )[/C][C]104.012142857143[/C][C]0.262189371990885[/C][C]396.706174881714[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 23 )[/C][C]104.148142857143[/C][C]0.238530724512646[/C][C]436.623596687317[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 23 )[/C][C]104.148142857143[/C][C]0.238530724512646[/C][C]436.623596687317[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 23 )[/C][C]104.148142857143[/C][C]0.238530724512646[/C][C]436.623596687317[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 23 )[/C][C]104.148142857143[/C][C]0.238530724512646[/C][C]436.623596687317[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 23 )[/C][C]104.148142857143[/C][C]0.238530724512646[/C][C]436.623596687317[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 23 )[/C][C]104.148142857143[/C][C]0.238530724512646[/C][C]436.623596687317[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 23 )[/C][C]104.148142857143[/C][C]0.238530724512646[/C][C]436.623596687317[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 23 )[/C][C]103.972428571429[/C][C]0.214473734628071[/C][C]484.779307600216[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 23 )[/C][C]103.972428571429[/C][C]0.214473734628071[/C][C]484.779307600216[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 23 )[/C][C]103.972428571429[/C][C]0.214473734628071[/C][C]484.779307600216[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 23 )[/C][C]103.972428571429[/C][C]0.214473734628071[/C][C]484.779307600216[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 23 )[/C][C]103.972428571429[/C][C]0.214473734628071[/C][C]484.779307600216[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 23 )[/C][C]104.289571428571[/C][C]0.168754226781116[/C][C]617.996795800802[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 23 )[/C][C]104.289571428571[/C][C]0.168754226781116[/C][C]617.996795800802[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 23 )[/C][C]104.289571428571[/C][C]0.168754226781116[/C][C]617.996795800802[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 23 )[/C][C]104.289571428571[/C][C]0.168754226781116[/C][C]617.996795800802[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 23 )[/C][C]104.265882352941[/C][C]0.404349770968707[/C][C]257.86061929292[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 23 )[/C][C]104.239848484848[/C][C]0.388407452679744[/C][C]268.377570424216[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 23 )[/C][C]104.2121875[/C][C]0.369129477108691[/C][C]282.318790458759[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 23 )[/C][C]104.182741935484[/C][C]0.345507480080968[/C][C]301.535416573526[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 23 )[/C][C]104.166[/C][C]0.32180039080993[/C][C]323.697555922252[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 23 )[/C][C]104.148103448276[/C][C]0.291884116354953[/C][C]356.813192676863[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 23 )[/C][C]104.128928571429[/C][C]0.25270737640412[/C][C]412.053379893863[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 23 )[/C][C]104.150555555556[/C][C]0.248824127262497[/C][C]418.570966977338[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 23 )[/C][C]104.150961538462[/C][C]0.249429403078939[/C][C]417.556872817838[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 23 )[/C][C]104.1514[/C][C]0.249728180391466[/C][C]417.05905932096[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 23 )[/C][C]104.151875[/C][C]0.249636376735321[/C][C]417.214335354771[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 23 )[/C][C]104.152391304348[/C][C]0.249044586889957[/C][C]418.207810115418[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 23 )[/C][C]104.152954545455[/C][C]0.247808487472844[/C][C]420.29615533999[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 23 )[/C][C]104.153571428571[/C][C]0.245734534116949[/C][C]423.845886386498[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 23 )[/C][C]104.15425[/C][C]0.2425579199929[/C][C]429.399501789299[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 23 )[/C][C]104.176578947368[/C][C]0.242842717691254[/C][C]428.987864811398[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 23 )[/C][C]104.201388888889[/C][C]0.242354899406457[/C][C]429.953713104562[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 23 )[/C][C]104.229117647059[/C][C]0.240782802270742[/C][C]432.876088591499[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 23 )[/C][C]104.2603125[/C][C]0.237665258453155[/C][C]438.685541078147[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 23 )[/C][C]104.295666666667[/C][C]0.232294246287414[/C][C]448.98084362203[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 23 )[/C][C]104.296428571429[/C][C]0.236865115929655[/C][C]440.319918625767[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 23 )[/C][C]104.297307692308[/C][C]0.241422424356663[/C][C]432.011682304313[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 23 )[/C][C]104.298333333333[/C][C]0.245815462381628[/C][C]424.295251091285[/C][/ROW]
[ROW][C]Median[/C][C]104.47[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]105.125[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]103.784255319149[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]103.784255319149[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]103.784255319149[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]103.784255319149[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]103.784255319149[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]103.784255319149[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]103.784255319149[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]103.784255319149[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]70[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163597&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163597&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 Mean104.2904285714290.417654568935828249.704986676328
Geometric Mean104.233125041403
Harmonic Mean104.176203039953
Quadratic Mean104.348117040989
Winsorized Mean ( 1 / 23 )104.2904285714290.417654568935828249.704986676328
Winsorized Mean ( 2 / 23 )104.2904285714290.417654568935828249.704986676328
Winsorized Mean ( 3 / 23 )104.2904285714290.417654568935828249.704986676328
Winsorized Mean ( 4 / 23 )104.2401428571430.404617627068905257.626301682084
Winsorized Mean ( 5 / 23 )104.2401428571430.404617627068905257.626301682084
Winsorized Mean ( 6 / 23 )104.2401428571430.404617627068905257.626301682084
Winsorized Mean ( 7 / 23 )104.0121428571430.262189371990885396.706174881714
Winsorized Mean ( 8 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 9 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 10 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 11 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 12 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 13 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 14 / 23 )104.1481428571430.238530724512646436.623596687317
Winsorized Mean ( 15 / 23 )103.9724285714290.214473734628071484.779307600216
Winsorized Mean ( 16 / 23 )103.9724285714290.214473734628071484.779307600216
Winsorized Mean ( 17 / 23 )103.9724285714290.214473734628071484.779307600216
Winsorized Mean ( 18 / 23 )103.9724285714290.214473734628071484.779307600216
Winsorized Mean ( 19 / 23 )103.9724285714290.214473734628071484.779307600216
Winsorized Mean ( 20 / 23 )104.2895714285710.168754226781116617.996795800802
Winsorized Mean ( 21 / 23 )104.2895714285710.168754226781116617.996795800802
Winsorized Mean ( 22 / 23 )104.2895714285710.168754226781116617.996795800802
Winsorized Mean ( 23 / 23 )104.2895714285710.168754226781116617.996795800802
Trimmed Mean ( 1 / 23 )104.2658823529410.404349770968707257.86061929292
Trimmed Mean ( 2 / 23 )104.2398484848480.388407452679744268.377570424216
Trimmed Mean ( 3 / 23 )104.21218750.369129477108691282.318790458759
Trimmed Mean ( 4 / 23 )104.1827419354840.345507480080968301.535416573526
Trimmed Mean ( 5 / 23 )104.1660.32180039080993323.697555922252
Trimmed Mean ( 6 / 23 )104.1481034482760.291884116354953356.813192676863
Trimmed Mean ( 7 / 23 )104.1289285714290.25270737640412412.053379893863
Trimmed Mean ( 8 / 23 )104.1505555555560.248824127262497418.570966977338
Trimmed Mean ( 9 / 23 )104.1509615384620.249429403078939417.556872817838
Trimmed Mean ( 10 / 23 )104.15140.249728180391466417.05905932096
Trimmed Mean ( 11 / 23 )104.1518750.249636376735321417.214335354771
Trimmed Mean ( 12 / 23 )104.1523913043480.249044586889957418.207810115418
Trimmed Mean ( 13 / 23 )104.1529545454550.247808487472844420.29615533999
Trimmed Mean ( 14 / 23 )104.1535714285710.245734534116949423.845886386498
Trimmed Mean ( 15 / 23 )104.154250.2425579199929429.399501789299
Trimmed Mean ( 16 / 23 )104.1765789473680.242842717691254428.987864811398
Trimmed Mean ( 17 / 23 )104.2013888888890.242354899406457429.953713104562
Trimmed Mean ( 18 / 23 )104.2291176470590.240782802270742432.876088591499
Trimmed Mean ( 19 / 23 )104.26031250.237665258453155438.685541078147
Trimmed Mean ( 20 / 23 )104.2956666666670.232294246287414448.98084362203
Trimmed Mean ( 21 / 23 )104.2964285714290.236865115929655440.319918625767
Trimmed Mean ( 22 / 23 )104.2973076923080.241422424356663432.011682304313
Trimmed Mean ( 23 / 23 )104.2983333333330.245815462381628424.295251091285
Median104.47
Midrange105.125
Midmean - Weighted Average at Xnp103.784255319149
Midmean - Weighted Average at X(n+1)p103.784255319149
Midmean - Empirical Distribution Function103.784255319149
Midmean - Empirical Distribution Function - Averaging103.784255319149
Midmean - Empirical Distribution Function - Interpolation103.784255319149
Midmean - Closest Observation103.784255319149
Midmean - True Basic - Statistics Graphics Toolkit103.784255319149
Midmean - MS Excel (old versions)103.784255319149
Number of observations70



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')