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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationTue, 08 Jan 2013 14:33:02 -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/2013/Jan/08/t1357673616lzipum7q1t88zwg.htm/, Retrieved Thu, 02 May 2024 15:06:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205075, Retrieved Thu, 02 May 2024 15:06:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [Opgave 4 oef 1 st...] [2013-01-08 17:32:56] [1d73611e45a05aa2060be114fa39c596]
- R  D  [Harrell-Davis Quantiles] [Opgave 4 oef 2 st...] [2013-01-08 17:53:10] [1d73611e45a05aa2060be114fa39c596]
- RMPD    [Central Tendency] [Opgave 5 Oef 1 st...] [2013-01-08 18:52:58] [1d73611e45a05aa2060be114fa39c596]
-    D        [Central Tendency] [Opgave 5 oef 2 st...] [2013-01-08 19:33:02] [40325e7317026cf0d36242170f65df44] [Current]
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Dataseries X:
101,81
101,72
101,78
102,04
102,36
102,56
102,69
102,77
102,85
102,9
102,72
102,79
102,9
102,91
103,29
103,35
102,97
103,05
103,18
103,21
103,32
103,31
103,6
103,68
103,77
103,82
103,86
103,9
103,63
103,65
103,7
103,77
103,94
104,03
104,03
104,29
104,35
104,67
104,73
104,86
104,05
104,15
104,27
104,33
104,41
104,4
104,41
104,6
104,61
104,65
104,55
104,51
104,74
104,89
104,91
104,93
104,95
104,97
105,16
105,29
105,35
105,36
105,45
105,3
105,73
105,86
105,85
105,95
105,97
106,15
105,37
105,39




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205075&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205075&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205075&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean104.0731944444440.129706063868503802.377246987888
Geometric Mean104.067448428703
Harmonic Mean104.061695107946
Quadratic Mean104.078932940074
Winsorized Mean ( 1 / 24 )104.0715277777780.128954150439526807.042870842555
Winsorized Mean ( 2 / 24 )104.0718055555560.128631950361146809.066528676306
Winsorized Mean ( 3 / 24 )104.0776388888890.125588675356341828.718342586087
Winsorized Mean ( 4 / 24 )104.0948611111110.12165621426829855.647709713777
Winsorized Mean ( 5 / 24 )104.1004166666670.117312671152732887.375725433239
Winsorized Mean ( 6 / 24 )104.0879166666670.111043904508451937.358219952945
Winsorized Mean ( 7 / 24 )104.0850.109535939607636950.236062910843
Winsorized Mean ( 8 / 24 )104.0883333333330.108199809371569962.001078725413
Winsorized Mean ( 9 / 24 )104.0895833333330.107564341392134967.696003956057
Winsorized Mean ( 10 / 24 )104.0965277777780.10593335810055982.660510761597
Winsorized Mean ( 11 / 24 )104.0965277777780.1034151122183871006.58912942967
Winsorized Mean ( 12 / 24 )104.0948611111110.103142522802181009.23322683077
Winsorized Mean ( 13 / 24 )104.0731944444440.09911616980561851050.0122699308
Winsorized Mean ( 14 / 24 )104.0479166666670.09170847051479361134.55077903499
Winsorized Mean ( 15 / 24 )104.0604166666670.08839630085856161177.20329534115
Winsorized Mean ( 16 / 24 )104.0848611111110.08322269487769321250.67881139967
Winsorized Mean ( 17 / 24 )104.0872222222220.08146958643672791277.62060389321
Winsorized Mean ( 18 / 24 )104.1022222222220.07776872292474091338.61298356365
Winsorized Mean ( 19 / 24 )104.0995833333330.07587013178778641372.07595242495
Winsorized Mean ( 20 / 24 )104.0690277777780.07088065520138131468.22891918964
Winsorized Mean ( 21 / 24 )104.0748611111110.06919501174261711504.08040247519
Winsorized Mean ( 22 / 24 )104.1329166666670.05591829689135821862.23333784616
Winsorized Mean ( 23 / 24 )104.1361111111110.05377769532708841936.41825812228
Winsorized Mean ( 24 / 24 )104.1294444444440.05111506584686432037.15759178333
Trimmed Mean ( 1 / 24 )104.0771428571430.12556359781216828.879903655196
Trimmed Mean ( 2 / 24 )104.0830882352940.12152875663714856.448227690382
Trimmed Mean ( 3 / 24 )104.0892424242420.116908369794559890.348934016924
Trimmed Mean ( 4 / 24 )104.093593750.112794668585376922.859165734507
Trimmed Mean ( 5 / 24 )104.0932258064520.109331117201133952.091485674246
Trimmed Mean ( 6 / 24 )104.09150.106534211104195977.071110971046
Trimmed Mean ( 7 / 24 )104.092241379310.104883204452053992.458629798021
Trimmed Mean ( 8 / 24 )104.0935714285710.1031961404982241008.69636137568
Trimmed Mean ( 9 / 24 )104.0944444444440.1013864980620441026.70914208658
Trimmed Mean ( 10 / 24 )104.0951923076920.09923519390441591048.97454433311
Trimmed Mean ( 11 / 24 )104.0950.09687115364319381074.57169740554
Trimmed Mean ( 12 / 24 )104.0947916666670.0944158926169971102.51345172293
Trimmed Mean ( 13 / 24 )104.0947826086960.0912996548138281140.14431731378
Trimmed Mean ( 14 / 24 )104.09750.08819311706998511180.33587493448
Trimmed Mean ( 15 / 24 )104.1035714285710.08581766413942671213.07859486173
Trimmed Mean ( 16 / 24 )104.108750.08341446371229791248.08990391736
Trimmed Mean ( 17 / 24 )104.1115789473680.08140439270460721278.94300894988
Trimmed Mean ( 18 / 24 )104.1144444444440.07901420853183191317.66737121084
Trimmed Mean ( 19 / 24 )104.1158823529410.07661059444550681359.02720905003
Trimmed Mean ( 20 / 24 )104.11781250.07365697300581291413.54997702367
Trimmed Mean ( 21 / 24 )104.1236666666670.07076995812617171471.29755935464
Trimmed Mean ( 22 / 24 )104.1296428571430.06696457671894451554.99590916826
Trimmed Mean ( 23 / 24 )104.1292307692310.06583878463436411581.57887250673
Trimmed Mean ( 24 / 24 )104.1283333333330.06450948325596531614.15544006399
Median104.1
Midrange103.935
Midmean - Weighted Average at Xnp104.09
Midmean - Weighted Average at X(n+1)p104.114444444444
Midmean - Empirical Distribution Function104.09
Midmean - Empirical Distribution Function - Averaging104.114444444444
Midmean - Empirical Distribution Function - Interpolation104.114444444444
Midmean - Closest Observation104.09
Midmean - True Basic - Statistics Graphics Toolkit104.114444444444
Midmean - MS Excel (old versions)104.111578947368
Number of observations72

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 104.073194444444 & 0.129706063868503 & 802.377246987888 \tabularnewline
Geometric Mean & 104.067448428703 &  &  \tabularnewline
Harmonic Mean & 104.061695107946 &  &  \tabularnewline
Quadratic Mean & 104.078932940074 &  &  \tabularnewline
Winsorized Mean ( 1 / 24 ) & 104.071527777778 & 0.128954150439526 & 807.042870842555 \tabularnewline
Winsorized Mean ( 2 / 24 ) & 104.071805555556 & 0.128631950361146 & 809.066528676306 \tabularnewline
Winsorized Mean ( 3 / 24 ) & 104.077638888889 & 0.125588675356341 & 828.718342586087 \tabularnewline
Winsorized Mean ( 4 / 24 ) & 104.094861111111 & 0.12165621426829 & 855.647709713777 \tabularnewline
Winsorized Mean ( 5 / 24 ) & 104.100416666667 & 0.117312671152732 & 887.375725433239 \tabularnewline
Winsorized Mean ( 6 / 24 ) & 104.087916666667 & 0.111043904508451 & 937.358219952945 \tabularnewline
Winsorized Mean ( 7 / 24 ) & 104.085 & 0.109535939607636 & 950.236062910843 \tabularnewline
Winsorized Mean ( 8 / 24 ) & 104.088333333333 & 0.108199809371569 & 962.001078725413 \tabularnewline
Winsorized Mean ( 9 / 24 ) & 104.089583333333 & 0.107564341392134 & 967.696003956057 \tabularnewline
Winsorized Mean ( 10 / 24 ) & 104.096527777778 & 0.10593335810055 & 982.660510761597 \tabularnewline
Winsorized Mean ( 11 / 24 ) & 104.096527777778 & 0.103415112218387 & 1006.58912942967 \tabularnewline
Winsorized Mean ( 12 / 24 ) & 104.094861111111 & 0.10314252280218 & 1009.23322683077 \tabularnewline
Winsorized Mean ( 13 / 24 ) & 104.073194444444 & 0.0991161698056185 & 1050.0122699308 \tabularnewline
Winsorized Mean ( 14 / 24 ) & 104.047916666667 & 0.0917084705147936 & 1134.55077903499 \tabularnewline
Winsorized Mean ( 15 / 24 ) & 104.060416666667 & 0.0883963008585616 & 1177.20329534115 \tabularnewline
Winsorized Mean ( 16 / 24 ) & 104.084861111111 & 0.0832226948776932 & 1250.67881139967 \tabularnewline
Winsorized Mean ( 17 / 24 ) & 104.087222222222 & 0.0814695864367279 & 1277.62060389321 \tabularnewline
Winsorized Mean ( 18 / 24 ) & 104.102222222222 & 0.0777687229247409 & 1338.61298356365 \tabularnewline
Winsorized Mean ( 19 / 24 ) & 104.099583333333 & 0.0758701317877864 & 1372.07595242495 \tabularnewline
Winsorized Mean ( 20 / 24 ) & 104.069027777778 & 0.0708806552013813 & 1468.22891918964 \tabularnewline
Winsorized Mean ( 21 / 24 ) & 104.074861111111 & 0.0691950117426171 & 1504.08040247519 \tabularnewline
Winsorized Mean ( 22 / 24 ) & 104.132916666667 & 0.0559182968913582 & 1862.23333784616 \tabularnewline
Winsorized Mean ( 23 / 24 ) & 104.136111111111 & 0.0537776953270884 & 1936.41825812228 \tabularnewline
Winsorized Mean ( 24 / 24 ) & 104.129444444444 & 0.0511150658468643 & 2037.15759178333 \tabularnewline
Trimmed Mean ( 1 / 24 ) & 104.077142857143 & 0.12556359781216 & 828.879903655196 \tabularnewline
Trimmed Mean ( 2 / 24 ) & 104.083088235294 & 0.12152875663714 & 856.448227690382 \tabularnewline
Trimmed Mean ( 3 / 24 ) & 104.089242424242 & 0.116908369794559 & 890.348934016924 \tabularnewline
Trimmed Mean ( 4 / 24 ) & 104.09359375 & 0.112794668585376 & 922.859165734507 \tabularnewline
Trimmed Mean ( 5 / 24 ) & 104.093225806452 & 0.109331117201133 & 952.091485674246 \tabularnewline
Trimmed Mean ( 6 / 24 ) & 104.0915 & 0.106534211104195 & 977.071110971046 \tabularnewline
Trimmed Mean ( 7 / 24 ) & 104.09224137931 & 0.104883204452053 & 992.458629798021 \tabularnewline
Trimmed Mean ( 8 / 24 ) & 104.093571428571 & 0.103196140498224 & 1008.69636137568 \tabularnewline
Trimmed Mean ( 9 / 24 ) & 104.094444444444 & 0.101386498062044 & 1026.70914208658 \tabularnewline
Trimmed Mean ( 10 / 24 ) & 104.095192307692 & 0.0992351939044159 & 1048.97454433311 \tabularnewline
Trimmed Mean ( 11 / 24 ) & 104.095 & 0.0968711536431938 & 1074.57169740554 \tabularnewline
Trimmed Mean ( 12 / 24 ) & 104.094791666667 & 0.094415892616997 & 1102.51345172293 \tabularnewline
Trimmed Mean ( 13 / 24 ) & 104.094782608696 & 0.091299654813828 & 1140.14431731378 \tabularnewline
Trimmed Mean ( 14 / 24 ) & 104.0975 & 0.0881931170699851 & 1180.33587493448 \tabularnewline
Trimmed Mean ( 15 / 24 ) & 104.103571428571 & 0.0858176641394267 & 1213.07859486173 \tabularnewline
Trimmed Mean ( 16 / 24 ) & 104.10875 & 0.0834144637122979 & 1248.08990391736 \tabularnewline
Trimmed Mean ( 17 / 24 ) & 104.111578947368 & 0.0814043927046072 & 1278.94300894988 \tabularnewline
Trimmed Mean ( 18 / 24 ) & 104.114444444444 & 0.0790142085318319 & 1317.66737121084 \tabularnewline
Trimmed Mean ( 19 / 24 ) & 104.115882352941 & 0.0766105944455068 & 1359.02720905003 \tabularnewline
Trimmed Mean ( 20 / 24 ) & 104.1178125 & 0.0736569730058129 & 1413.54997702367 \tabularnewline
Trimmed Mean ( 21 / 24 ) & 104.123666666667 & 0.0707699581261717 & 1471.29755935464 \tabularnewline
Trimmed Mean ( 22 / 24 ) & 104.129642857143 & 0.0669645767189445 & 1554.99590916826 \tabularnewline
Trimmed Mean ( 23 / 24 ) & 104.129230769231 & 0.0658387846343641 & 1581.57887250673 \tabularnewline
Trimmed Mean ( 24 / 24 ) & 104.128333333333 & 0.0645094832559653 & 1614.15544006399 \tabularnewline
Median & 104.1 &  &  \tabularnewline
Midrange & 103.935 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 104.09 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 104.114444444444 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 104.09 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 104.114444444444 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 104.114444444444 &  &  \tabularnewline
Midmean - Closest Observation & 104.09 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 104.114444444444 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 104.111578947368 &  &  \tabularnewline
Number of observations & 72 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205075&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]104.073194444444[/C][C]0.129706063868503[/C][C]802.377246987888[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]104.067448428703[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]104.061695107946[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]104.078932940074[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 24 )[/C][C]104.071527777778[/C][C]0.128954150439526[/C][C]807.042870842555[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 24 )[/C][C]104.071805555556[/C][C]0.128631950361146[/C][C]809.066528676306[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 24 )[/C][C]104.077638888889[/C][C]0.125588675356341[/C][C]828.718342586087[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 24 )[/C][C]104.094861111111[/C][C]0.12165621426829[/C][C]855.647709713777[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 24 )[/C][C]104.100416666667[/C][C]0.117312671152732[/C][C]887.375725433239[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 24 )[/C][C]104.087916666667[/C][C]0.111043904508451[/C][C]937.358219952945[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 24 )[/C][C]104.085[/C][C]0.109535939607636[/C][C]950.236062910843[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 24 )[/C][C]104.088333333333[/C][C]0.108199809371569[/C][C]962.001078725413[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 24 )[/C][C]104.089583333333[/C][C]0.107564341392134[/C][C]967.696003956057[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 24 )[/C][C]104.096527777778[/C][C]0.10593335810055[/C][C]982.660510761597[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 24 )[/C][C]104.096527777778[/C][C]0.103415112218387[/C][C]1006.58912942967[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 24 )[/C][C]104.094861111111[/C][C]0.10314252280218[/C][C]1009.23322683077[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 24 )[/C][C]104.073194444444[/C][C]0.0991161698056185[/C][C]1050.0122699308[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 24 )[/C][C]104.047916666667[/C][C]0.0917084705147936[/C][C]1134.55077903499[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 24 )[/C][C]104.060416666667[/C][C]0.0883963008585616[/C][C]1177.20329534115[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 24 )[/C][C]104.084861111111[/C][C]0.0832226948776932[/C][C]1250.67881139967[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 24 )[/C][C]104.087222222222[/C][C]0.0814695864367279[/C][C]1277.62060389321[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 24 )[/C][C]104.102222222222[/C][C]0.0777687229247409[/C][C]1338.61298356365[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 24 )[/C][C]104.099583333333[/C][C]0.0758701317877864[/C][C]1372.07595242495[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 24 )[/C][C]104.069027777778[/C][C]0.0708806552013813[/C][C]1468.22891918964[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 24 )[/C][C]104.074861111111[/C][C]0.0691950117426171[/C][C]1504.08040247519[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 24 )[/C][C]104.132916666667[/C][C]0.0559182968913582[/C][C]1862.23333784616[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 24 )[/C][C]104.136111111111[/C][C]0.0537776953270884[/C][C]1936.41825812228[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 24 )[/C][C]104.129444444444[/C][C]0.0511150658468643[/C][C]2037.15759178333[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 24 )[/C][C]104.077142857143[/C][C]0.12556359781216[/C][C]828.879903655196[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 24 )[/C][C]104.083088235294[/C][C]0.12152875663714[/C][C]856.448227690382[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 24 )[/C][C]104.089242424242[/C][C]0.116908369794559[/C][C]890.348934016924[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 24 )[/C][C]104.09359375[/C][C]0.112794668585376[/C][C]922.859165734507[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 24 )[/C][C]104.093225806452[/C][C]0.109331117201133[/C][C]952.091485674246[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 24 )[/C][C]104.0915[/C][C]0.106534211104195[/C][C]977.071110971046[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 24 )[/C][C]104.09224137931[/C][C]0.104883204452053[/C][C]992.458629798021[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 24 )[/C][C]104.093571428571[/C][C]0.103196140498224[/C][C]1008.69636137568[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 24 )[/C][C]104.094444444444[/C][C]0.101386498062044[/C][C]1026.70914208658[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 24 )[/C][C]104.095192307692[/C][C]0.0992351939044159[/C][C]1048.97454433311[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 24 )[/C][C]104.095[/C][C]0.0968711536431938[/C][C]1074.57169740554[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 24 )[/C][C]104.094791666667[/C][C]0.094415892616997[/C][C]1102.51345172293[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 24 )[/C][C]104.094782608696[/C][C]0.091299654813828[/C][C]1140.14431731378[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 24 )[/C][C]104.0975[/C][C]0.0881931170699851[/C][C]1180.33587493448[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 24 )[/C][C]104.103571428571[/C][C]0.0858176641394267[/C][C]1213.07859486173[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 24 )[/C][C]104.10875[/C][C]0.0834144637122979[/C][C]1248.08990391736[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 24 )[/C][C]104.111578947368[/C][C]0.0814043927046072[/C][C]1278.94300894988[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 24 )[/C][C]104.114444444444[/C][C]0.0790142085318319[/C][C]1317.66737121084[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 24 )[/C][C]104.115882352941[/C][C]0.0766105944455068[/C][C]1359.02720905003[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 24 )[/C][C]104.1178125[/C][C]0.0736569730058129[/C][C]1413.54997702367[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 24 )[/C][C]104.123666666667[/C][C]0.0707699581261717[/C][C]1471.29755935464[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 24 )[/C][C]104.129642857143[/C][C]0.0669645767189445[/C][C]1554.99590916826[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 24 )[/C][C]104.129230769231[/C][C]0.0658387846343641[/C][C]1581.57887250673[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 24 )[/C][C]104.128333333333[/C][C]0.0645094832559653[/C][C]1614.15544006399[/C][/ROW]
[ROW][C]Median[/C][C]104.1[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]103.935[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]104.09[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]104.114444444444[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]104.09[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]104.114444444444[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]104.114444444444[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]104.09[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]104.114444444444[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]104.111578947368[/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=205075&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205075&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 Mean104.0731944444440.129706063868503802.377246987888
Geometric Mean104.067448428703
Harmonic Mean104.061695107946
Quadratic Mean104.078932940074
Winsorized Mean ( 1 / 24 )104.0715277777780.128954150439526807.042870842555
Winsorized Mean ( 2 / 24 )104.0718055555560.128631950361146809.066528676306
Winsorized Mean ( 3 / 24 )104.0776388888890.125588675356341828.718342586087
Winsorized Mean ( 4 / 24 )104.0948611111110.12165621426829855.647709713777
Winsorized Mean ( 5 / 24 )104.1004166666670.117312671152732887.375725433239
Winsorized Mean ( 6 / 24 )104.0879166666670.111043904508451937.358219952945
Winsorized Mean ( 7 / 24 )104.0850.109535939607636950.236062910843
Winsorized Mean ( 8 / 24 )104.0883333333330.108199809371569962.001078725413
Winsorized Mean ( 9 / 24 )104.0895833333330.107564341392134967.696003956057
Winsorized Mean ( 10 / 24 )104.0965277777780.10593335810055982.660510761597
Winsorized Mean ( 11 / 24 )104.0965277777780.1034151122183871006.58912942967
Winsorized Mean ( 12 / 24 )104.0948611111110.103142522802181009.23322683077
Winsorized Mean ( 13 / 24 )104.0731944444440.09911616980561851050.0122699308
Winsorized Mean ( 14 / 24 )104.0479166666670.09170847051479361134.55077903499
Winsorized Mean ( 15 / 24 )104.0604166666670.08839630085856161177.20329534115
Winsorized Mean ( 16 / 24 )104.0848611111110.08322269487769321250.67881139967
Winsorized Mean ( 17 / 24 )104.0872222222220.08146958643672791277.62060389321
Winsorized Mean ( 18 / 24 )104.1022222222220.07776872292474091338.61298356365
Winsorized Mean ( 19 / 24 )104.0995833333330.07587013178778641372.07595242495
Winsorized Mean ( 20 / 24 )104.0690277777780.07088065520138131468.22891918964
Winsorized Mean ( 21 / 24 )104.0748611111110.06919501174261711504.08040247519
Winsorized Mean ( 22 / 24 )104.1329166666670.05591829689135821862.23333784616
Winsorized Mean ( 23 / 24 )104.1361111111110.05377769532708841936.41825812228
Winsorized Mean ( 24 / 24 )104.1294444444440.05111506584686432037.15759178333
Trimmed Mean ( 1 / 24 )104.0771428571430.12556359781216828.879903655196
Trimmed Mean ( 2 / 24 )104.0830882352940.12152875663714856.448227690382
Trimmed Mean ( 3 / 24 )104.0892424242420.116908369794559890.348934016924
Trimmed Mean ( 4 / 24 )104.093593750.112794668585376922.859165734507
Trimmed Mean ( 5 / 24 )104.0932258064520.109331117201133952.091485674246
Trimmed Mean ( 6 / 24 )104.09150.106534211104195977.071110971046
Trimmed Mean ( 7 / 24 )104.092241379310.104883204452053992.458629798021
Trimmed Mean ( 8 / 24 )104.0935714285710.1031961404982241008.69636137568
Trimmed Mean ( 9 / 24 )104.0944444444440.1013864980620441026.70914208658
Trimmed Mean ( 10 / 24 )104.0951923076920.09923519390441591048.97454433311
Trimmed Mean ( 11 / 24 )104.0950.09687115364319381074.57169740554
Trimmed Mean ( 12 / 24 )104.0947916666670.0944158926169971102.51345172293
Trimmed Mean ( 13 / 24 )104.0947826086960.0912996548138281140.14431731378
Trimmed Mean ( 14 / 24 )104.09750.08819311706998511180.33587493448
Trimmed Mean ( 15 / 24 )104.1035714285710.08581766413942671213.07859486173
Trimmed Mean ( 16 / 24 )104.108750.08341446371229791248.08990391736
Trimmed Mean ( 17 / 24 )104.1115789473680.08140439270460721278.94300894988
Trimmed Mean ( 18 / 24 )104.1144444444440.07901420853183191317.66737121084
Trimmed Mean ( 19 / 24 )104.1158823529410.07661059444550681359.02720905003
Trimmed Mean ( 20 / 24 )104.11781250.07365697300581291413.54997702367
Trimmed Mean ( 21 / 24 )104.1236666666670.07076995812617171471.29755935464
Trimmed Mean ( 22 / 24 )104.1296428571430.06696457671894451554.99590916826
Trimmed Mean ( 23 / 24 )104.1292307692310.06583878463436411581.57887250673
Trimmed Mean ( 24 / 24 )104.1283333333330.06450948325596531614.15544006399
Median104.1
Midrange103.935
Midmean - Weighted Average at Xnp104.09
Midmean - Weighted Average at X(n+1)p104.114444444444
Midmean - Empirical Distribution Function104.09
Midmean - Empirical Distribution Function - Averaging104.114444444444
Midmean - Empirical Distribution Function - Interpolation104.114444444444
Midmean - Closest Observation104.09
Midmean - True Basic - Statistics Graphics Toolkit104.114444444444
Midmean - MS Excel (old versions)104.111578947368
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')