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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationSat, 12 Nov 2011 10:30:53 -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/2011/Nov/12/t1321111877wo9rsw1gx5pk22a.htm/, Retrieved Tue, 21 Mar 2023 01:18:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141487, Retrieved Tue, 21 Mar 2023 01:18:54 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
14
18
11
12
16
18
14
14
15
15
17
19
10
16
18
14
14
17
14
16
18
11
14
12
17
9
16
14
15
11
16
13
17
15
14
16
9
15
17
13
15
16
16
12
12
11
15
15
17
13
16
14
11
12
12
15
16
15
12
12
8
13
11
14
15
10
11
12
15
15
14
16
15
15
13
12
17
13
15
13
15
16
15
16
15
14
15
14
13
7
17
13
15
14
13
16
12
14
17
15
17
12
16
11
15
9
16
15
10
10
15
11
13
14
18
16
14
14
14
14
12
14
15
15
15
13
17
17
19
15
13
9
15
15
15
16
11
14
11
15
13
15
16
14
15
16
16
11
12
9
16
13
16
12
9
13
13
14
19
13
12
13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141487&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141487&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141487&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'Herman Ole Andreas Wold' @ wold.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean14.0370370370370.18366062111222176.4292146679612
Geometric Mean13.8257056950512
Harmonic Mean13.5924203232325
Quadratic Mean14.229164972073
Winsorized Mean ( 1 / 54 )14.04320987654320.18229020543189877.0376545644392
Winsorized Mean ( 2 / 54 )14.05555555555560.17994069007278378.1121576774565
Winsorized Mean ( 3 / 54 )14.0370370370370.17707090508657779.2735375141037
Winsorized Mean ( 4 / 54 )14.0370370370370.17707090508657779.2735375141037
Winsorized Mean ( 5 / 54 )14.0370370370370.17707090508657779.2735375141037
Winsorized Mean ( 6 / 54 )14.0370370370370.17707090508657779.2735375141037
Winsorized Mean ( 7 / 54 )14.0370370370370.17707090508657779.2735375141037
Winsorized Mean ( 8 / 54 )14.0370370370370.16262381842055686.315997086825
Winsorized Mean ( 9 / 54 )14.0370370370370.16262381842055686.315997086825
Winsorized Mean ( 10 / 54 )14.0370370370370.16262381842055686.315997086825
Winsorized Mean ( 11 / 54 )14.0370370370370.16262381842055686.315997086825
Winsorized Mean ( 12 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 13 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 14 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 15 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 16 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 17 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 18 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 19 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 20 / 54 )13.98765432098770.139281750605594100.427042740127
Winsorized Mean ( 21 / 54 )13.98765432098770.139281750605594100.427042740127
Winsorized Mean ( 22 / 54 )13.98765432098770.139281750605594100.427042740127
Winsorized Mean ( 23 / 54 )13.98765432098770.139281750605594100.427042740127
Winsorized Mean ( 24 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 25 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 26 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 27 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 28 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 29 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 30 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 31 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 32 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 33 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 34 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 35 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 36 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 37 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 38 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 39 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 40 / 54 )14.38271604938270.0963786442604564149.231358873595
Winsorized Mean ( 41 / 54 )14.38271604938270.0963786442604564149.231358873595
Winsorized Mean ( 42 / 54 )14.38271604938270.0963786442604564149.231358873595
Winsorized Mean ( 43 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 44 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 45 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 46 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 47 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 48 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 49 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 50 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 51 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 52 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 53 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 54 / 54 )14.11728395061730.0718834238821899196.391367970371
Trimmed Mean ( 1 / 54 )14.050.17795130420052278.9541839163368
Trimmed Mean ( 2 / 54 )14.05696202531650.17324084338243481.1411544232978
Trimmed Mean ( 3 / 54 )14.05769230769230.16947356445792182.9491747144004
Trimmed Mean ( 4 / 54 )14.06493506493510.16652026283687684.4638053370907
Trimmed Mean ( 5 / 54 )14.07236842105260.1633194072909286.1647042104777
Trimmed Mean ( 6 / 54 )14.080.15984332373664188.0862564094218
Trimmed Mean ( 7 / 54 )14.08783783783780.15605952013153890.2722104102566
Trimmed Mean ( 8 / 54 )14.09589041095890.1519294167481592.779204400721
Trimmed Mean ( 9 / 54 )14.10416666666670.15001901912576394.0158571150431
Trimmed Mean ( 10 / 54 )14.1126760563380.14793844933504995.3955926925789
Trimmed Mean ( 11 / 54 )14.12142857142860.1456698942920996.9412975828281
Trimmed Mean ( 12 / 54 )14.13043478260870.14319283420087298.6811586031349
Trimmed Mean ( 13 / 54 )14.13235294117650.14188615197766799.603469008032
Trimmed Mean ( 14 / 54 )14.1343283582090.140454336275617100.632908409982
Trimmed Mean ( 15 / 54 )14.13636363636360.138884858239974101.784772044321
Trimmed Mean ( 16 / 54 )14.13846153846150.13716346408576103.077460406086
Trimmed Mean ( 17 / 54 )14.1406250.135273843267071104.533327792589
Trimmed Mean ( 18 / 54 )14.14285714285710.133197209425121106.179830672863
Trimmed Mean ( 19 / 54 )14.14516129032260.13091176380017108.051109233502
Trimmed Mean ( 20 / 54 )14.14754098360660.12839199727833110.190208763069
Trimmed Mean ( 21 / 54 )14.15833333333330.126908861039215111.563000545394
Trimmed Mean ( 22 / 54 )14.16949152542370.125258003905872113.122443944355
Trimmed Mean ( 23 / 54 )14.18103448275860.123419020261765114.901531811559
Trimmed Mean ( 24 / 54 )14.19298245614040.121368019201272116.941699712535
Trimmed Mean ( 25 / 54 )14.19642857142860.120887487785421117.435053300368
Trimmed Mean ( 26 / 54 )14.20.120327603968904118.011158966231
Trimmed Mean ( 27 / 54 )14.20370370370370.119679434564495118.681240059246
Trimmed Mean ( 28 / 54 )14.20754716981130.11893279651394119.458615169669
Trimmed Mean ( 29 / 54 )14.21153846153850.118076029071743120.359217474222
Trimmed Mean ( 30 / 54 )14.21568627450980.117095711888397121.402278915719
Trimmed Mean ( 31 / 54 )14.220.115976312454333122.611244478042
Trimmed Mean ( 32 / 54 )14.22448979591840.114699739965615124.015013461954
Trimmed Mean ( 33 / 54 )14.22916666666670.113244773190513125.649654865119
Trimmed Mean ( 34 / 54 )14.23404255319150.111586315533916127.560825761517
Trimmed Mean ( 35 / 54 )14.23913043478260.109694408093935129.80725893146
Trimmed Mean ( 36 / 54 )14.24444444444440.10753289554015132.465924709765
Trimmed Mean ( 37 / 54 )14.250.105057579873226135.63990353857
Trimmed Mean ( 38 / 54 )14.25581395348840.102213593736995139.470822150818
Trimmed Mean ( 39 / 54 )14.26190476190480.098931537520614144.159336035115
Trimmed Mean ( 40 / 54 )14.26829268292680.0951215651749823150.000608764998
Trimmed Mean ( 41 / 54 )14.26250.0936998811179555152.21470753037
Trimmed Mean ( 42 / 54 )14.25641025641030.0920334847559092154.904601235312
Trimmed Mean ( 43 / 54 )14.250.0900779389624302158.196337129154
Trimmed Mean ( 44 / 54 )14.25675675675680.0903750276168065157.751063902364
Trimmed Mean ( 45 / 54 )14.26388888888890.0906269580341182157.391235437021
Trimmed Mean ( 46 / 54 )14.27142857142860.0908242189392959157.1324117961
Trimmed Mean ( 47 / 54 )14.27941176470590.0909552954749286156.993737309577
Trimmed Mean ( 48 / 54 )14.28787878787880.091006164178508156.999022174511
Trimmed Mean ( 49 / 54 )14.2968750.0909596312321509157.178242769157
Trimmed Mean ( 50 / 54 )14.30645161290320.0907944537283319157.569664505168
Trimmed Mean ( 51 / 54 )14.31666666666670.0904841549529628158.222913990953
Trimmed Mean ( 52 / 54 )14.32758620689660.0899953989362408159.20354125045
Trimmed Mean ( 53 / 54 )14.33928571428570.0892857142857143160.6
Trimmed Mean ( 54 / 54 )14.35185185185190.08830022878509162.534707433003
Median14
Midrange13
Midmean - Weighted Average at Xnp14.6078431372549
Midmean - Weighted Average at X(n+1)p14.6078431372549
Midmean - Empirical Distribution Function14.6078431372549
Midmean - Empirical Distribution Function - Averaging14.6078431372549
Midmean - Empirical Distribution Function - Interpolation14.6078431372549
Midmean - Closest Observation14.6078431372549
Midmean - True Basic - Statistics Graphics Toolkit14.6078431372549
Midmean - MS Excel (old versions)14.6078431372549
Number of observations162

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 14.037037037037 & 0.183660621112221 & 76.4292146679612 \tabularnewline
Geometric Mean & 13.8257056950512 &  &  \tabularnewline
Harmonic Mean & 13.5924203232325 &  &  \tabularnewline
Quadratic Mean & 14.229164972073 &  &  \tabularnewline
Winsorized Mean ( 1 / 54 ) & 14.0432098765432 & 0.182290205431898 & 77.0376545644392 \tabularnewline
Winsorized Mean ( 2 / 54 ) & 14.0555555555556 & 0.179940690072783 & 78.1121576774565 \tabularnewline
Winsorized Mean ( 3 / 54 ) & 14.037037037037 & 0.177070905086577 & 79.2735375141037 \tabularnewline
Winsorized Mean ( 4 / 54 ) & 14.037037037037 & 0.177070905086577 & 79.2735375141037 \tabularnewline
Winsorized Mean ( 5 / 54 ) & 14.037037037037 & 0.177070905086577 & 79.2735375141037 \tabularnewline
Winsorized Mean ( 6 / 54 ) & 14.037037037037 & 0.177070905086577 & 79.2735375141037 \tabularnewline
Winsorized Mean ( 7 / 54 ) & 14.037037037037 & 0.177070905086577 & 79.2735375141037 \tabularnewline
Winsorized Mean ( 8 / 54 ) & 14.037037037037 & 0.162623818420556 & 86.315997086825 \tabularnewline
Winsorized Mean ( 9 / 54 ) & 14.037037037037 & 0.162623818420556 & 86.315997086825 \tabularnewline
Winsorized Mean ( 10 / 54 ) & 14.037037037037 & 0.162623818420556 & 86.315997086825 \tabularnewline
Winsorized Mean ( 11 / 54 ) & 14.037037037037 & 0.162623818420556 & 86.315997086825 \tabularnewline
Winsorized Mean ( 12 / 54 ) & 14.1111111111111 & 0.152176651634411 & 92.72848994609 \tabularnewline
Winsorized Mean ( 13 / 54 ) & 14.1111111111111 & 0.152176651634411 & 92.72848994609 \tabularnewline
Winsorized Mean ( 14 / 54 ) & 14.1111111111111 & 0.152176651634411 & 92.72848994609 \tabularnewline
Winsorized Mean ( 15 / 54 ) & 14.1111111111111 & 0.152176651634411 & 92.72848994609 \tabularnewline
Winsorized Mean ( 16 / 54 ) & 14.1111111111111 & 0.152176651634411 & 92.72848994609 \tabularnewline
Winsorized Mean ( 17 / 54 ) & 14.1111111111111 & 0.152176651634411 & 92.72848994609 \tabularnewline
Winsorized Mean ( 18 / 54 ) & 14.1111111111111 & 0.152176651634411 & 92.72848994609 \tabularnewline
Winsorized Mean ( 19 / 54 ) & 14.1111111111111 & 0.152176651634411 & 92.72848994609 \tabularnewline
Winsorized Mean ( 20 / 54 ) & 13.9876543209877 & 0.139281750605594 & 100.427042740127 \tabularnewline
Winsorized Mean ( 21 / 54 ) & 13.9876543209877 & 0.139281750605594 & 100.427042740127 \tabularnewline
Winsorized Mean ( 22 / 54 ) & 13.9876543209877 & 0.139281750605594 & 100.427042740127 \tabularnewline
Winsorized Mean ( 23 / 54 ) & 13.9876543209877 & 0.139281750605594 & 100.427042740127 \tabularnewline
Winsorized Mean ( 24 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 25 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 26 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 27 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 28 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 29 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 30 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 31 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 32 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 33 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 34 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 35 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 36 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 37 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 38 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 39 / 54 ) & 14.1358024691358 & 0.121181393185612 & 116.649941856042 \tabularnewline
Winsorized Mean ( 40 / 54 ) & 14.3827160493827 & 0.0963786442604564 & 149.231358873595 \tabularnewline
Winsorized Mean ( 41 / 54 ) & 14.3827160493827 & 0.0963786442604564 & 149.231358873595 \tabularnewline
Winsorized Mean ( 42 / 54 ) & 14.3827160493827 & 0.0963786442604564 & 149.231358873595 \tabularnewline
Winsorized Mean ( 43 / 54 ) & 14.1172839506173 & 0.0718834238821899 & 196.391367970371 \tabularnewline
Winsorized Mean ( 44 / 54 ) & 14.1172839506173 & 0.0718834238821899 & 196.391367970371 \tabularnewline
Winsorized Mean ( 45 / 54 ) & 14.1172839506173 & 0.0718834238821899 & 196.391367970371 \tabularnewline
Winsorized Mean ( 46 / 54 ) & 14.1172839506173 & 0.0718834238821899 & 196.391367970371 \tabularnewline
Winsorized Mean ( 47 / 54 ) & 14.1172839506173 & 0.0718834238821899 & 196.391367970371 \tabularnewline
Winsorized Mean ( 48 / 54 ) & 14.1172839506173 & 0.0718834238821899 & 196.391367970371 \tabularnewline
Winsorized Mean ( 49 / 54 ) & 14.1172839506173 & 0.0718834238821899 & 196.391367970371 \tabularnewline
Winsorized Mean ( 50 / 54 ) & 14.1172839506173 & 0.0718834238821899 & 196.391367970371 \tabularnewline
Winsorized Mean ( 51 / 54 ) & 14.1172839506173 & 0.0718834238821899 & 196.391367970371 \tabularnewline
Winsorized Mean ( 52 / 54 ) & 14.1172839506173 & 0.0718834238821899 & 196.391367970371 \tabularnewline
Winsorized Mean ( 53 / 54 ) & 14.1172839506173 & 0.0718834238821899 & 196.391367970371 \tabularnewline
Winsorized Mean ( 54 / 54 ) & 14.1172839506173 & 0.0718834238821899 & 196.391367970371 \tabularnewline
Trimmed Mean ( 1 / 54 ) & 14.05 & 0.177951304200522 & 78.9541839163368 \tabularnewline
Trimmed Mean ( 2 / 54 ) & 14.0569620253165 & 0.173240843382434 & 81.1411544232978 \tabularnewline
Trimmed Mean ( 3 / 54 ) & 14.0576923076923 & 0.169473564457921 & 82.9491747144004 \tabularnewline
Trimmed Mean ( 4 / 54 ) & 14.0649350649351 & 0.166520262836876 & 84.4638053370907 \tabularnewline
Trimmed Mean ( 5 / 54 ) & 14.0723684210526 & 0.16331940729092 & 86.1647042104777 \tabularnewline
Trimmed Mean ( 6 / 54 ) & 14.08 & 0.159843323736641 & 88.0862564094218 \tabularnewline
Trimmed Mean ( 7 / 54 ) & 14.0878378378378 & 0.156059520131538 & 90.2722104102566 \tabularnewline
Trimmed Mean ( 8 / 54 ) & 14.0958904109589 & 0.15192941674815 & 92.779204400721 \tabularnewline
Trimmed Mean ( 9 / 54 ) & 14.1041666666667 & 0.150019019125763 & 94.0158571150431 \tabularnewline
Trimmed Mean ( 10 / 54 ) & 14.112676056338 & 0.147938449335049 & 95.3955926925789 \tabularnewline
Trimmed Mean ( 11 / 54 ) & 14.1214285714286 & 0.14566989429209 & 96.9412975828281 \tabularnewline
Trimmed Mean ( 12 / 54 ) & 14.1304347826087 & 0.143192834200872 & 98.6811586031349 \tabularnewline
Trimmed Mean ( 13 / 54 ) & 14.1323529411765 & 0.141886151977667 & 99.603469008032 \tabularnewline
Trimmed Mean ( 14 / 54 ) & 14.134328358209 & 0.140454336275617 & 100.632908409982 \tabularnewline
Trimmed Mean ( 15 / 54 ) & 14.1363636363636 & 0.138884858239974 & 101.784772044321 \tabularnewline
Trimmed Mean ( 16 / 54 ) & 14.1384615384615 & 0.13716346408576 & 103.077460406086 \tabularnewline
Trimmed Mean ( 17 / 54 ) & 14.140625 & 0.135273843267071 & 104.533327792589 \tabularnewline
Trimmed Mean ( 18 / 54 ) & 14.1428571428571 & 0.133197209425121 & 106.179830672863 \tabularnewline
Trimmed Mean ( 19 / 54 ) & 14.1451612903226 & 0.13091176380017 & 108.051109233502 \tabularnewline
Trimmed Mean ( 20 / 54 ) & 14.1475409836066 & 0.12839199727833 & 110.190208763069 \tabularnewline
Trimmed Mean ( 21 / 54 ) & 14.1583333333333 & 0.126908861039215 & 111.563000545394 \tabularnewline
Trimmed Mean ( 22 / 54 ) & 14.1694915254237 & 0.125258003905872 & 113.122443944355 \tabularnewline
Trimmed Mean ( 23 / 54 ) & 14.1810344827586 & 0.123419020261765 & 114.901531811559 \tabularnewline
Trimmed Mean ( 24 / 54 ) & 14.1929824561404 & 0.121368019201272 & 116.941699712535 \tabularnewline
Trimmed Mean ( 25 / 54 ) & 14.1964285714286 & 0.120887487785421 & 117.435053300368 \tabularnewline
Trimmed Mean ( 26 / 54 ) & 14.2 & 0.120327603968904 & 118.011158966231 \tabularnewline
Trimmed Mean ( 27 / 54 ) & 14.2037037037037 & 0.119679434564495 & 118.681240059246 \tabularnewline
Trimmed Mean ( 28 / 54 ) & 14.2075471698113 & 0.11893279651394 & 119.458615169669 \tabularnewline
Trimmed Mean ( 29 / 54 ) & 14.2115384615385 & 0.118076029071743 & 120.359217474222 \tabularnewline
Trimmed Mean ( 30 / 54 ) & 14.2156862745098 & 0.117095711888397 & 121.402278915719 \tabularnewline
Trimmed Mean ( 31 / 54 ) & 14.22 & 0.115976312454333 & 122.611244478042 \tabularnewline
Trimmed Mean ( 32 / 54 ) & 14.2244897959184 & 0.114699739965615 & 124.015013461954 \tabularnewline
Trimmed Mean ( 33 / 54 ) & 14.2291666666667 & 0.113244773190513 & 125.649654865119 \tabularnewline
Trimmed Mean ( 34 / 54 ) & 14.2340425531915 & 0.111586315533916 & 127.560825761517 \tabularnewline
Trimmed Mean ( 35 / 54 ) & 14.2391304347826 & 0.109694408093935 & 129.80725893146 \tabularnewline
Trimmed Mean ( 36 / 54 ) & 14.2444444444444 & 0.10753289554015 & 132.465924709765 \tabularnewline
Trimmed Mean ( 37 / 54 ) & 14.25 & 0.105057579873226 & 135.63990353857 \tabularnewline
Trimmed Mean ( 38 / 54 ) & 14.2558139534884 & 0.102213593736995 & 139.470822150818 \tabularnewline
Trimmed Mean ( 39 / 54 ) & 14.2619047619048 & 0.098931537520614 & 144.159336035115 \tabularnewline
Trimmed Mean ( 40 / 54 ) & 14.2682926829268 & 0.0951215651749823 & 150.000608764998 \tabularnewline
Trimmed Mean ( 41 / 54 ) & 14.2625 & 0.0936998811179555 & 152.21470753037 \tabularnewline
Trimmed Mean ( 42 / 54 ) & 14.2564102564103 & 0.0920334847559092 & 154.904601235312 \tabularnewline
Trimmed Mean ( 43 / 54 ) & 14.25 & 0.0900779389624302 & 158.196337129154 \tabularnewline
Trimmed Mean ( 44 / 54 ) & 14.2567567567568 & 0.0903750276168065 & 157.751063902364 \tabularnewline
Trimmed Mean ( 45 / 54 ) & 14.2638888888889 & 0.0906269580341182 & 157.391235437021 \tabularnewline
Trimmed Mean ( 46 / 54 ) & 14.2714285714286 & 0.0908242189392959 & 157.1324117961 \tabularnewline
Trimmed Mean ( 47 / 54 ) & 14.2794117647059 & 0.0909552954749286 & 156.993737309577 \tabularnewline
Trimmed Mean ( 48 / 54 ) & 14.2878787878788 & 0.091006164178508 & 156.999022174511 \tabularnewline
Trimmed Mean ( 49 / 54 ) & 14.296875 & 0.0909596312321509 & 157.178242769157 \tabularnewline
Trimmed Mean ( 50 / 54 ) & 14.3064516129032 & 0.0907944537283319 & 157.569664505168 \tabularnewline
Trimmed Mean ( 51 / 54 ) & 14.3166666666667 & 0.0904841549529628 & 158.222913990953 \tabularnewline
Trimmed Mean ( 52 / 54 ) & 14.3275862068966 & 0.0899953989362408 & 159.20354125045 \tabularnewline
Trimmed Mean ( 53 / 54 ) & 14.3392857142857 & 0.0892857142857143 & 160.6 \tabularnewline
Trimmed Mean ( 54 / 54 ) & 14.3518518518519 & 0.08830022878509 & 162.534707433003 \tabularnewline
Median & 14 &  &  \tabularnewline
Midrange & 13 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 14.6078431372549 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 14.6078431372549 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 14.6078431372549 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 14.6078431372549 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 14.6078431372549 &  &  \tabularnewline
Midmean - Closest Observation & 14.6078431372549 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 14.6078431372549 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 14.6078431372549 &  &  \tabularnewline
Number of observations & 162 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141487&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]14.037037037037[/C][C]0.183660621112221[/C][C]76.4292146679612[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]13.8257056950512[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]13.5924203232325[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]14.229164972073[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 54 )[/C][C]14.0432098765432[/C][C]0.182290205431898[/C][C]77.0376545644392[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 54 )[/C][C]14.0555555555556[/C][C]0.179940690072783[/C][C]78.1121576774565[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 54 )[/C][C]14.037037037037[/C][C]0.177070905086577[/C][C]79.2735375141037[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 54 )[/C][C]14.037037037037[/C][C]0.177070905086577[/C][C]79.2735375141037[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 54 )[/C][C]14.037037037037[/C][C]0.177070905086577[/C][C]79.2735375141037[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 54 )[/C][C]14.037037037037[/C][C]0.177070905086577[/C][C]79.2735375141037[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 54 )[/C][C]14.037037037037[/C][C]0.177070905086577[/C][C]79.2735375141037[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 54 )[/C][C]14.037037037037[/C][C]0.162623818420556[/C][C]86.315997086825[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 54 )[/C][C]14.037037037037[/C][C]0.162623818420556[/C][C]86.315997086825[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 54 )[/C][C]14.037037037037[/C][C]0.162623818420556[/C][C]86.315997086825[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 54 )[/C][C]14.037037037037[/C][C]0.162623818420556[/C][C]86.315997086825[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 54 )[/C][C]14.1111111111111[/C][C]0.152176651634411[/C][C]92.72848994609[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 54 )[/C][C]14.1111111111111[/C][C]0.152176651634411[/C][C]92.72848994609[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 54 )[/C][C]14.1111111111111[/C][C]0.152176651634411[/C][C]92.72848994609[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 54 )[/C][C]14.1111111111111[/C][C]0.152176651634411[/C][C]92.72848994609[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 54 )[/C][C]14.1111111111111[/C][C]0.152176651634411[/C][C]92.72848994609[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 54 )[/C][C]14.1111111111111[/C][C]0.152176651634411[/C][C]92.72848994609[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 54 )[/C][C]14.1111111111111[/C][C]0.152176651634411[/C][C]92.72848994609[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 54 )[/C][C]14.1111111111111[/C][C]0.152176651634411[/C][C]92.72848994609[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 54 )[/C][C]13.9876543209877[/C][C]0.139281750605594[/C][C]100.427042740127[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 54 )[/C][C]13.9876543209877[/C][C]0.139281750605594[/C][C]100.427042740127[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 54 )[/C][C]13.9876543209877[/C][C]0.139281750605594[/C][C]100.427042740127[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 54 )[/C][C]13.9876543209877[/C][C]0.139281750605594[/C][C]100.427042740127[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 54 )[/C][C]14.1358024691358[/C][C]0.121181393185612[/C][C]116.649941856042[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 54 )[/C][C]14.3827160493827[/C][C]0.0963786442604564[/C][C]149.231358873595[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 54 )[/C][C]14.3827160493827[/C][C]0.0963786442604564[/C][C]149.231358873595[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 54 )[/C][C]14.3827160493827[/C][C]0.0963786442604564[/C][C]149.231358873595[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 54 )[/C][C]14.1172839506173[/C][C]0.0718834238821899[/C][C]196.391367970371[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 54 )[/C][C]14.1172839506173[/C][C]0.0718834238821899[/C][C]196.391367970371[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 54 )[/C][C]14.1172839506173[/C][C]0.0718834238821899[/C][C]196.391367970371[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 54 )[/C][C]14.1172839506173[/C][C]0.0718834238821899[/C][C]196.391367970371[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 54 )[/C][C]14.1172839506173[/C][C]0.0718834238821899[/C][C]196.391367970371[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 54 )[/C][C]14.1172839506173[/C][C]0.0718834238821899[/C][C]196.391367970371[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 54 )[/C][C]14.1172839506173[/C][C]0.0718834238821899[/C][C]196.391367970371[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 54 )[/C][C]14.1172839506173[/C][C]0.0718834238821899[/C][C]196.391367970371[/C][/ROW]
[ROW][C]Winsorized Mean ( 51 / 54 )[/C][C]14.1172839506173[/C][C]0.0718834238821899[/C][C]196.391367970371[/C][/ROW]
[ROW][C]Winsorized Mean ( 52 / 54 )[/C][C]14.1172839506173[/C][C]0.0718834238821899[/C][C]196.391367970371[/C][/ROW]
[ROW][C]Winsorized Mean ( 53 / 54 )[/C][C]14.1172839506173[/C][C]0.0718834238821899[/C][C]196.391367970371[/C][/ROW]
[ROW][C]Winsorized Mean ( 54 / 54 )[/C][C]14.1172839506173[/C][C]0.0718834238821899[/C][C]196.391367970371[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 54 )[/C][C]14.05[/C][C]0.177951304200522[/C][C]78.9541839163368[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 54 )[/C][C]14.0569620253165[/C][C]0.173240843382434[/C][C]81.1411544232978[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 54 )[/C][C]14.0576923076923[/C][C]0.169473564457921[/C][C]82.9491747144004[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 54 )[/C][C]14.0649350649351[/C][C]0.166520262836876[/C][C]84.4638053370907[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 54 )[/C][C]14.0723684210526[/C][C]0.16331940729092[/C][C]86.1647042104777[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 54 )[/C][C]14.08[/C][C]0.159843323736641[/C][C]88.0862564094218[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 54 )[/C][C]14.0878378378378[/C][C]0.156059520131538[/C][C]90.2722104102566[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 54 )[/C][C]14.0958904109589[/C][C]0.15192941674815[/C][C]92.779204400721[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 54 )[/C][C]14.1041666666667[/C][C]0.150019019125763[/C][C]94.0158571150431[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 54 )[/C][C]14.112676056338[/C][C]0.147938449335049[/C][C]95.3955926925789[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 54 )[/C][C]14.1214285714286[/C][C]0.14566989429209[/C][C]96.9412975828281[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 54 )[/C][C]14.1304347826087[/C][C]0.143192834200872[/C][C]98.6811586031349[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 54 )[/C][C]14.1323529411765[/C][C]0.141886151977667[/C][C]99.603469008032[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 54 )[/C][C]14.134328358209[/C][C]0.140454336275617[/C][C]100.632908409982[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 54 )[/C][C]14.1363636363636[/C][C]0.138884858239974[/C][C]101.784772044321[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 54 )[/C][C]14.1384615384615[/C][C]0.13716346408576[/C][C]103.077460406086[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 54 )[/C][C]14.140625[/C][C]0.135273843267071[/C][C]104.533327792589[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 54 )[/C][C]14.1428571428571[/C][C]0.133197209425121[/C][C]106.179830672863[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 54 )[/C][C]14.1451612903226[/C][C]0.13091176380017[/C][C]108.051109233502[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 54 )[/C][C]14.1475409836066[/C][C]0.12839199727833[/C][C]110.190208763069[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 54 )[/C][C]14.1583333333333[/C][C]0.126908861039215[/C][C]111.563000545394[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 54 )[/C][C]14.1694915254237[/C][C]0.125258003905872[/C][C]113.122443944355[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 54 )[/C][C]14.1810344827586[/C][C]0.123419020261765[/C][C]114.901531811559[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 54 )[/C][C]14.1929824561404[/C][C]0.121368019201272[/C][C]116.941699712535[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 54 )[/C][C]14.1964285714286[/C][C]0.120887487785421[/C][C]117.435053300368[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 54 )[/C][C]14.2[/C][C]0.120327603968904[/C][C]118.011158966231[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 54 )[/C][C]14.2037037037037[/C][C]0.119679434564495[/C][C]118.681240059246[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 54 )[/C][C]14.2075471698113[/C][C]0.11893279651394[/C][C]119.458615169669[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 54 )[/C][C]14.2115384615385[/C][C]0.118076029071743[/C][C]120.359217474222[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 54 )[/C][C]14.2156862745098[/C][C]0.117095711888397[/C][C]121.402278915719[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 54 )[/C][C]14.22[/C][C]0.115976312454333[/C][C]122.611244478042[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 54 )[/C][C]14.2244897959184[/C][C]0.114699739965615[/C][C]124.015013461954[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 54 )[/C][C]14.2291666666667[/C][C]0.113244773190513[/C][C]125.649654865119[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 54 )[/C][C]14.2340425531915[/C][C]0.111586315533916[/C][C]127.560825761517[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 54 )[/C][C]14.2391304347826[/C][C]0.109694408093935[/C][C]129.80725893146[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 54 )[/C][C]14.2444444444444[/C][C]0.10753289554015[/C][C]132.465924709765[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 54 )[/C][C]14.25[/C][C]0.105057579873226[/C][C]135.63990353857[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 54 )[/C][C]14.2558139534884[/C][C]0.102213593736995[/C][C]139.470822150818[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 54 )[/C][C]14.2619047619048[/C][C]0.098931537520614[/C][C]144.159336035115[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 54 )[/C][C]14.2682926829268[/C][C]0.0951215651749823[/C][C]150.000608764998[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 54 )[/C][C]14.2625[/C][C]0.0936998811179555[/C][C]152.21470753037[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 54 )[/C][C]14.2564102564103[/C][C]0.0920334847559092[/C][C]154.904601235312[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 54 )[/C][C]14.25[/C][C]0.0900779389624302[/C][C]158.196337129154[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 54 )[/C][C]14.2567567567568[/C][C]0.0903750276168065[/C][C]157.751063902364[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 54 )[/C][C]14.2638888888889[/C][C]0.0906269580341182[/C][C]157.391235437021[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 54 )[/C][C]14.2714285714286[/C][C]0.0908242189392959[/C][C]157.1324117961[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 54 )[/C][C]14.2794117647059[/C][C]0.0909552954749286[/C][C]156.993737309577[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 54 )[/C][C]14.2878787878788[/C][C]0.091006164178508[/C][C]156.999022174511[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 54 )[/C][C]14.296875[/C][C]0.0909596312321509[/C][C]157.178242769157[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 54 )[/C][C]14.3064516129032[/C][C]0.0907944537283319[/C][C]157.569664505168[/C][/ROW]
[ROW][C]Trimmed Mean ( 51 / 54 )[/C][C]14.3166666666667[/C][C]0.0904841549529628[/C][C]158.222913990953[/C][/ROW]
[ROW][C]Trimmed Mean ( 52 / 54 )[/C][C]14.3275862068966[/C][C]0.0899953989362408[/C][C]159.20354125045[/C][/ROW]
[ROW][C]Trimmed Mean ( 53 / 54 )[/C][C]14.3392857142857[/C][C]0.0892857142857143[/C][C]160.6[/C][/ROW]
[ROW][C]Trimmed Mean ( 54 / 54 )[/C][C]14.3518518518519[/C][C]0.08830022878509[/C][C]162.534707433003[/C][/ROW]
[ROW][C]Median[/C][C]14[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]13[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]14.6078431372549[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]14.6078431372549[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]14.6078431372549[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]14.6078431372549[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]14.6078431372549[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]14.6078431372549[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]14.6078431372549[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]14.6078431372549[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]162[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141487&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141487&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 Mean14.0370370370370.18366062111222176.4292146679612
Geometric Mean13.8257056950512
Harmonic Mean13.5924203232325
Quadratic Mean14.229164972073
Winsorized Mean ( 1 / 54 )14.04320987654320.18229020543189877.0376545644392
Winsorized Mean ( 2 / 54 )14.05555555555560.17994069007278378.1121576774565
Winsorized Mean ( 3 / 54 )14.0370370370370.17707090508657779.2735375141037
Winsorized Mean ( 4 / 54 )14.0370370370370.17707090508657779.2735375141037
Winsorized Mean ( 5 / 54 )14.0370370370370.17707090508657779.2735375141037
Winsorized Mean ( 6 / 54 )14.0370370370370.17707090508657779.2735375141037
Winsorized Mean ( 7 / 54 )14.0370370370370.17707090508657779.2735375141037
Winsorized Mean ( 8 / 54 )14.0370370370370.16262381842055686.315997086825
Winsorized Mean ( 9 / 54 )14.0370370370370.16262381842055686.315997086825
Winsorized Mean ( 10 / 54 )14.0370370370370.16262381842055686.315997086825
Winsorized Mean ( 11 / 54 )14.0370370370370.16262381842055686.315997086825
Winsorized Mean ( 12 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 13 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 14 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 15 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 16 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 17 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 18 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 19 / 54 )14.11111111111110.15217665163441192.72848994609
Winsorized Mean ( 20 / 54 )13.98765432098770.139281750605594100.427042740127
Winsorized Mean ( 21 / 54 )13.98765432098770.139281750605594100.427042740127
Winsorized Mean ( 22 / 54 )13.98765432098770.139281750605594100.427042740127
Winsorized Mean ( 23 / 54 )13.98765432098770.139281750605594100.427042740127
Winsorized Mean ( 24 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 25 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 26 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 27 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 28 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 29 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 30 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 31 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 32 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 33 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 34 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 35 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 36 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 37 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 38 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 39 / 54 )14.13580246913580.121181393185612116.649941856042
Winsorized Mean ( 40 / 54 )14.38271604938270.0963786442604564149.231358873595
Winsorized Mean ( 41 / 54 )14.38271604938270.0963786442604564149.231358873595
Winsorized Mean ( 42 / 54 )14.38271604938270.0963786442604564149.231358873595
Winsorized Mean ( 43 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 44 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 45 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 46 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 47 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 48 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 49 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 50 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 51 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 52 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 53 / 54 )14.11728395061730.0718834238821899196.391367970371
Winsorized Mean ( 54 / 54 )14.11728395061730.0718834238821899196.391367970371
Trimmed Mean ( 1 / 54 )14.050.17795130420052278.9541839163368
Trimmed Mean ( 2 / 54 )14.05696202531650.17324084338243481.1411544232978
Trimmed Mean ( 3 / 54 )14.05769230769230.16947356445792182.9491747144004
Trimmed Mean ( 4 / 54 )14.06493506493510.16652026283687684.4638053370907
Trimmed Mean ( 5 / 54 )14.07236842105260.1633194072909286.1647042104777
Trimmed Mean ( 6 / 54 )14.080.15984332373664188.0862564094218
Trimmed Mean ( 7 / 54 )14.08783783783780.15605952013153890.2722104102566
Trimmed Mean ( 8 / 54 )14.09589041095890.1519294167481592.779204400721
Trimmed Mean ( 9 / 54 )14.10416666666670.15001901912576394.0158571150431
Trimmed Mean ( 10 / 54 )14.1126760563380.14793844933504995.3955926925789
Trimmed Mean ( 11 / 54 )14.12142857142860.1456698942920996.9412975828281
Trimmed Mean ( 12 / 54 )14.13043478260870.14319283420087298.6811586031349
Trimmed Mean ( 13 / 54 )14.13235294117650.14188615197766799.603469008032
Trimmed Mean ( 14 / 54 )14.1343283582090.140454336275617100.632908409982
Trimmed Mean ( 15 / 54 )14.13636363636360.138884858239974101.784772044321
Trimmed Mean ( 16 / 54 )14.13846153846150.13716346408576103.077460406086
Trimmed Mean ( 17 / 54 )14.1406250.135273843267071104.533327792589
Trimmed Mean ( 18 / 54 )14.14285714285710.133197209425121106.179830672863
Trimmed Mean ( 19 / 54 )14.14516129032260.13091176380017108.051109233502
Trimmed Mean ( 20 / 54 )14.14754098360660.12839199727833110.190208763069
Trimmed Mean ( 21 / 54 )14.15833333333330.126908861039215111.563000545394
Trimmed Mean ( 22 / 54 )14.16949152542370.125258003905872113.122443944355
Trimmed Mean ( 23 / 54 )14.18103448275860.123419020261765114.901531811559
Trimmed Mean ( 24 / 54 )14.19298245614040.121368019201272116.941699712535
Trimmed Mean ( 25 / 54 )14.19642857142860.120887487785421117.435053300368
Trimmed Mean ( 26 / 54 )14.20.120327603968904118.011158966231
Trimmed Mean ( 27 / 54 )14.20370370370370.119679434564495118.681240059246
Trimmed Mean ( 28 / 54 )14.20754716981130.11893279651394119.458615169669
Trimmed Mean ( 29 / 54 )14.21153846153850.118076029071743120.359217474222
Trimmed Mean ( 30 / 54 )14.21568627450980.117095711888397121.402278915719
Trimmed Mean ( 31 / 54 )14.220.115976312454333122.611244478042
Trimmed Mean ( 32 / 54 )14.22448979591840.114699739965615124.015013461954
Trimmed Mean ( 33 / 54 )14.22916666666670.113244773190513125.649654865119
Trimmed Mean ( 34 / 54 )14.23404255319150.111586315533916127.560825761517
Trimmed Mean ( 35 / 54 )14.23913043478260.109694408093935129.80725893146
Trimmed Mean ( 36 / 54 )14.24444444444440.10753289554015132.465924709765
Trimmed Mean ( 37 / 54 )14.250.105057579873226135.63990353857
Trimmed Mean ( 38 / 54 )14.25581395348840.102213593736995139.470822150818
Trimmed Mean ( 39 / 54 )14.26190476190480.098931537520614144.159336035115
Trimmed Mean ( 40 / 54 )14.26829268292680.0951215651749823150.000608764998
Trimmed Mean ( 41 / 54 )14.26250.0936998811179555152.21470753037
Trimmed Mean ( 42 / 54 )14.25641025641030.0920334847559092154.904601235312
Trimmed Mean ( 43 / 54 )14.250.0900779389624302158.196337129154
Trimmed Mean ( 44 / 54 )14.25675675675680.0903750276168065157.751063902364
Trimmed Mean ( 45 / 54 )14.26388888888890.0906269580341182157.391235437021
Trimmed Mean ( 46 / 54 )14.27142857142860.0908242189392959157.1324117961
Trimmed Mean ( 47 / 54 )14.27941176470590.0909552954749286156.993737309577
Trimmed Mean ( 48 / 54 )14.28787878787880.091006164178508156.999022174511
Trimmed Mean ( 49 / 54 )14.2968750.0909596312321509157.178242769157
Trimmed Mean ( 50 / 54 )14.30645161290320.0907944537283319157.569664505168
Trimmed Mean ( 51 / 54 )14.31666666666670.0904841549529628158.222913990953
Trimmed Mean ( 52 / 54 )14.32758620689660.0899953989362408159.20354125045
Trimmed Mean ( 53 / 54 )14.33928571428570.0892857142857143160.6
Trimmed Mean ( 54 / 54 )14.35185185185190.08830022878509162.534707433003
Median14
Midrange13
Midmean - Weighted Average at Xnp14.6078431372549
Midmean - Weighted Average at X(n+1)p14.6078431372549
Midmean - Empirical Distribution Function14.6078431372549
Midmean - Empirical Distribution Function - Averaging14.6078431372549
Midmean - Empirical Distribution Function - Interpolation14.6078431372549
Midmean - Closest Observation14.6078431372549
Midmean - True Basic - Statistics Graphics Toolkit14.6078431372549
Midmean - MS Excel (old versions)14.6078431372549
Number of observations162



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')