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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationSat, 15 Oct 2011 07:32:09 -0400
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/Oct/15/t1318678514kvctri7kxnpknav.htm/, Retrieved Wed, 15 May 2024 03:01:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=129745, Retrieved Wed, 15 May 2024 03:01:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG2011W51a
Estimated Impact94
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2011-10-15 11:32:09] [30681199eb2b91d06bf445c1ee7d20a2] [Current]
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Dataseries X:
20
25
15
15
25
25
25
21
30
25
20
40
13
30
25
20
25
20
25
20
20
15
15
12
20
5
20
15
25
22
20
22
25
20
20
35
30
25
20
20
20
25
25
15
20
35
25
25
30
23
10
22
25
25
22
30
20
25
25
22
25
25
25
22
25
12
18
20
20
22
30
25
22
20
50
30
25
20
30
22
25
30
22
25
22
22
25
25
25




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=129745&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=129745&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=129745&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 Mean23.01123595505620.64980046871136235.4127721709565
Geometric Mean22.1384906575896
Harmonic Mean21.0012647445702
Quadratic Mean23.8049187627971
Winsorized Mean ( 1 / 29 )22.95505617977530.58842905424473639.0107456696521
Winsorized Mean ( 2 / 29 )22.88764044943820.54483323962549842.0085244159672
Winsorized Mean ( 3 / 29 )22.88764044943820.54483323962549842.0085244159672
Winsorized Mean ( 4 / 29 )22.70786516853930.4865930439248746.6670566956264
Winsorized Mean ( 5 / 29 )22.82022471910110.46302558898549549.2850184999516
Winsorized Mean ( 6 / 29 )22.82022471910110.46302558898549549.2850184999516
Winsorized Mean ( 7 / 29 )22.82022471910110.46302558898549549.2850184999516
Winsorized Mean ( 8 / 29 )22.82022471910110.46302558898549549.2850184999516
Winsorized Mean ( 9 / 29 )22.82022471910110.46302558898549549.2850184999516
Winsorized Mean ( 10 / 29 )22.82022471910110.46302558898549549.2850184999516
Winsorized Mean ( 11 / 29 )23.19101123595510.39946222931489958.0555795618749
Winsorized Mean ( 12 / 29 )23.46067415730340.36477152929482664.3160780740136
Winsorized Mean ( 13 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 14 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 15 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 16 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 17 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 18 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 19 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 20 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 21 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 22 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 23 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 24 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 25 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 26 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 27 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 28 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 29 / 29 )22.73033707865170.24484681007611492.8349324689412
Trimmed Mean ( 1 / 29 )22.90804597701150.54877866969306541.743688743996
Trimmed Mean ( 2 / 29 )22.85882352941180.50130165057314445.5989392879058
Trimmed Mean ( 3 / 29 )22.84337349397590.47397194614599848.1956235589932
Trimmed Mean ( 4 / 29 )22.82716049382720.44158459176492451.6937432137105
Trimmed Mean ( 5 / 29 )22.86075949367090.42546886034667353.7307465346439
Trimmed Mean ( 6 / 29 )22.87012987012990.41393641115273655.2503458355857
Trimmed Mean ( 7 / 29 )22.880.4004321989375357.1382622593979
Trimmed Mean ( 8 / 29 )22.89041095890410.38451853893767559.5300580880817
Trimmed Mean ( 9 / 29 )22.90140845070420.3656008145017962.640474370694
Trimmed Mean ( 10 / 29 )22.91304347826090.34283503500283966.8340196855061
Trimmed Mean ( 11 / 29 )22.92537313432840.31494755784940772.79108081
Trimmed Mean ( 12 / 29 )22.89230769230770.29590399050643677.3639708377294
Trimmed Mean ( 13 / 29 )22.82539682539680.27947328351839781.6729117647279
Trimmed Mean ( 14 / 29 )22.83606557377050.28263043110053280.7983255194756
Trimmed Mean ( 15 / 29 )22.84745762711860.28585753290522979.9260295676495
Trimmed Mean ( 16 / 29 )22.8596491228070.2891507274155379.0578994115969
Trimmed Mean ( 17 / 29 )22.87272727272730.29250404521597278.196276758631
Trimmed Mean ( 18 / 29 )22.88679245283020.29590869781822677.344101817816
Trimmed Mean ( 19 / 29 )22.90196078431370.29935211342561176.5050913529123
Trimmed Mean ( 20 / 29 )22.91836734693880.30281661719802775.683981807218
Trimmed Mean ( 21 / 29 )22.9361702127660.30627760547921974.8868666936283
Trimmed Mean ( 22 / 29 )22.95555555555560.30970098898997674.1216733934891
Trimmed Mean ( 23 / 29 )22.97674418604650.31303956226789773.3988509937387
Trimmed Mean ( 24 / 29 )230.31622776601683872.7323861838727
Trimmed Mean ( 25 / 29 )23.0256410256410.31917399188328272.1413448814503
Trimmed Mean ( 26 / 29 )23.05405405405410.32174903474646171.6522866097197
Trimmed Mean ( 27 / 29 )23.08571428571430.32376832824127371.3031889534011
Trimmed Mean ( 28 / 29 )23.12121212121210.32496379681101871.1501168687359
Trimmed Mean ( 29 / 29 )23.16129032258060.32493762575498571.2791886404842
Median22
Midrange27.5
Midmean - Weighted Average at Xnp22.78125
Midmean - Weighted Average at X(n+1)p22.78125
Midmean - Empirical Distribution Function22.78125
Midmean - Empirical Distribution Function - Averaging22.78125
Midmean - Empirical Distribution Function - Interpolation22.78125
Midmean - Closest Observation22.78125
Midmean - True Basic - Statistics Graphics Toolkit22.78125
Midmean - MS Excel (old versions)22.78125
Number of observations89

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 23.0112359550562 & 0.649800468711362 & 35.4127721709565 \tabularnewline
Geometric Mean & 22.1384906575896 &  &  \tabularnewline
Harmonic Mean & 21.0012647445702 &  &  \tabularnewline
Quadratic Mean & 23.8049187627971 &  &  \tabularnewline
Winsorized Mean ( 1 / 29 ) & 22.9550561797753 & 0.588429054244736 & 39.0107456696521 \tabularnewline
Winsorized Mean ( 2 / 29 ) & 22.8876404494382 & 0.544833239625498 & 42.0085244159672 \tabularnewline
Winsorized Mean ( 3 / 29 ) & 22.8876404494382 & 0.544833239625498 & 42.0085244159672 \tabularnewline
Winsorized Mean ( 4 / 29 ) & 22.7078651685393 & 0.48659304392487 & 46.6670566956264 \tabularnewline
Winsorized Mean ( 5 / 29 ) & 22.8202247191011 & 0.463025588985495 & 49.2850184999516 \tabularnewline
Winsorized Mean ( 6 / 29 ) & 22.8202247191011 & 0.463025588985495 & 49.2850184999516 \tabularnewline
Winsorized Mean ( 7 / 29 ) & 22.8202247191011 & 0.463025588985495 & 49.2850184999516 \tabularnewline
Winsorized Mean ( 8 / 29 ) & 22.8202247191011 & 0.463025588985495 & 49.2850184999516 \tabularnewline
Winsorized Mean ( 9 / 29 ) & 22.8202247191011 & 0.463025588985495 & 49.2850184999516 \tabularnewline
Winsorized Mean ( 10 / 29 ) & 22.8202247191011 & 0.463025588985495 & 49.2850184999516 \tabularnewline
Winsorized Mean ( 11 / 29 ) & 23.1910112359551 & 0.399462229314899 & 58.0555795618749 \tabularnewline
Winsorized Mean ( 12 / 29 ) & 23.4606741573034 & 0.364771529294826 & 64.3160780740136 \tabularnewline
Winsorized Mean ( 13 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 14 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 15 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 16 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 17 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 18 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 19 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 20 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 21 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 22 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 23 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 24 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 25 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 26 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 27 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 28 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Winsorized Mean ( 29 / 29 ) & 22.7303370786517 & 0.244846810076114 & 92.8349324689412 \tabularnewline
Trimmed Mean ( 1 / 29 ) & 22.9080459770115 & 0.548778669693065 & 41.743688743996 \tabularnewline
Trimmed Mean ( 2 / 29 ) & 22.8588235294118 & 0.501301650573144 & 45.5989392879058 \tabularnewline
Trimmed Mean ( 3 / 29 ) & 22.8433734939759 & 0.473971946145998 & 48.1956235589932 \tabularnewline
Trimmed Mean ( 4 / 29 ) & 22.8271604938272 & 0.441584591764924 & 51.6937432137105 \tabularnewline
Trimmed Mean ( 5 / 29 ) & 22.8607594936709 & 0.425468860346673 & 53.7307465346439 \tabularnewline
Trimmed Mean ( 6 / 29 ) & 22.8701298701299 & 0.413936411152736 & 55.2503458355857 \tabularnewline
Trimmed Mean ( 7 / 29 ) & 22.88 & 0.40043219893753 & 57.1382622593979 \tabularnewline
Trimmed Mean ( 8 / 29 ) & 22.8904109589041 & 0.384518538937675 & 59.5300580880817 \tabularnewline
Trimmed Mean ( 9 / 29 ) & 22.9014084507042 & 0.36560081450179 & 62.640474370694 \tabularnewline
Trimmed Mean ( 10 / 29 ) & 22.9130434782609 & 0.342835035002839 & 66.8340196855061 \tabularnewline
Trimmed Mean ( 11 / 29 ) & 22.9253731343284 & 0.314947557849407 & 72.79108081 \tabularnewline
Trimmed Mean ( 12 / 29 ) & 22.8923076923077 & 0.295903990506436 & 77.3639708377294 \tabularnewline
Trimmed Mean ( 13 / 29 ) & 22.8253968253968 & 0.279473283518397 & 81.6729117647279 \tabularnewline
Trimmed Mean ( 14 / 29 ) & 22.8360655737705 & 0.282630431100532 & 80.7983255194756 \tabularnewline
Trimmed Mean ( 15 / 29 ) & 22.8474576271186 & 0.285857532905229 & 79.9260295676495 \tabularnewline
Trimmed Mean ( 16 / 29 ) & 22.859649122807 & 0.28915072741553 & 79.0578994115969 \tabularnewline
Trimmed Mean ( 17 / 29 ) & 22.8727272727273 & 0.292504045215972 & 78.196276758631 \tabularnewline
Trimmed Mean ( 18 / 29 ) & 22.8867924528302 & 0.295908697818226 & 77.344101817816 \tabularnewline
Trimmed Mean ( 19 / 29 ) & 22.9019607843137 & 0.299352113425611 & 76.5050913529123 \tabularnewline
Trimmed Mean ( 20 / 29 ) & 22.9183673469388 & 0.302816617198027 & 75.683981807218 \tabularnewline
Trimmed Mean ( 21 / 29 ) & 22.936170212766 & 0.306277605479219 & 74.8868666936283 \tabularnewline
Trimmed Mean ( 22 / 29 ) & 22.9555555555556 & 0.309700988989976 & 74.1216733934891 \tabularnewline
Trimmed Mean ( 23 / 29 ) & 22.9767441860465 & 0.313039562267897 & 73.3988509937387 \tabularnewline
Trimmed Mean ( 24 / 29 ) & 23 & 0.316227766016838 & 72.7323861838727 \tabularnewline
Trimmed Mean ( 25 / 29 ) & 23.025641025641 & 0.319173991883282 & 72.1413448814503 \tabularnewline
Trimmed Mean ( 26 / 29 ) & 23.0540540540541 & 0.321749034746461 & 71.6522866097197 \tabularnewline
Trimmed Mean ( 27 / 29 ) & 23.0857142857143 & 0.323768328241273 & 71.3031889534011 \tabularnewline
Trimmed Mean ( 28 / 29 ) & 23.1212121212121 & 0.324963796811018 & 71.1501168687359 \tabularnewline
Trimmed Mean ( 29 / 29 ) & 23.1612903225806 & 0.324937625754985 & 71.2791886404842 \tabularnewline
Median & 22 &  &  \tabularnewline
Midrange & 27.5 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 22.78125 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 22.78125 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 22.78125 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 22.78125 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 22.78125 &  &  \tabularnewline
Midmean - Closest Observation & 22.78125 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 22.78125 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 22.78125 &  &  \tabularnewline
Number of observations & 89 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=129745&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]23.0112359550562[/C][C]0.649800468711362[/C][C]35.4127721709565[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]22.1384906575896[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]21.0012647445702[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]23.8049187627971[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 29 )[/C][C]22.9550561797753[/C][C]0.588429054244736[/C][C]39.0107456696521[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 29 )[/C][C]22.8876404494382[/C][C]0.544833239625498[/C][C]42.0085244159672[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 29 )[/C][C]22.8876404494382[/C][C]0.544833239625498[/C][C]42.0085244159672[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 29 )[/C][C]22.7078651685393[/C][C]0.48659304392487[/C][C]46.6670566956264[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 29 )[/C][C]22.8202247191011[/C][C]0.463025588985495[/C][C]49.2850184999516[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 29 )[/C][C]22.8202247191011[/C][C]0.463025588985495[/C][C]49.2850184999516[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 29 )[/C][C]22.8202247191011[/C][C]0.463025588985495[/C][C]49.2850184999516[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 29 )[/C][C]22.8202247191011[/C][C]0.463025588985495[/C][C]49.2850184999516[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 29 )[/C][C]22.8202247191011[/C][C]0.463025588985495[/C][C]49.2850184999516[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 29 )[/C][C]22.8202247191011[/C][C]0.463025588985495[/C][C]49.2850184999516[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 29 )[/C][C]23.1910112359551[/C][C]0.399462229314899[/C][C]58.0555795618749[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 29 )[/C][C]23.4606741573034[/C][C]0.364771529294826[/C][C]64.3160780740136[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 29 )[/C][C]22.7303370786517[/C][C]0.244846810076114[/C][C]92.8349324689412[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 29 )[/C][C]22.9080459770115[/C][C]0.548778669693065[/C][C]41.743688743996[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 29 )[/C][C]22.8588235294118[/C][C]0.501301650573144[/C][C]45.5989392879058[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 29 )[/C][C]22.8433734939759[/C][C]0.473971946145998[/C][C]48.1956235589932[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 29 )[/C][C]22.8271604938272[/C][C]0.441584591764924[/C][C]51.6937432137105[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 29 )[/C][C]22.8607594936709[/C][C]0.425468860346673[/C][C]53.7307465346439[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 29 )[/C][C]22.8701298701299[/C][C]0.413936411152736[/C][C]55.2503458355857[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 29 )[/C][C]22.88[/C][C]0.40043219893753[/C][C]57.1382622593979[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 29 )[/C][C]22.8904109589041[/C][C]0.384518538937675[/C][C]59.5300580880817[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 29 )[/C][C]22.9014084507042[/C][C]0.36560081450179[/C][C]62.640474370694[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 29 )[/C][C]22.9130434782609[/C][C]0.342835035002839[/C][C]66.8340196855061[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 29 )[/C][C]22.9253731343284[/C][C]0.314947557849407[/C][C]72.79108081[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 29 )[/C][C]22.8923076923077[/C][C]0.295903990506436[/C][C]77.3639708377294[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 29 )[/C][C]22.8253968253968[/C][C]0.279473283518397[/C][C]81.6729117647279[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 29 )[/C][C]22.8360655737705[/C][C]0.282630431100532[/C][C]80.7983255194756[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 29 )[/C][C]22.8474576271186[/C][C]0.285857532905229[/C][C]79.9260295676495[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 29 )[/C][C]22.859649122807[/C][C]0.28915072741553[/C][C]79.0578994115969[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 29 )[/C][C]22.8727272727273[/C][C]0.292504045215972[/C][C]78.196276758631[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 29 )[/C][C]22.8867924528302[/C][C]0.295908697818226[/C][C]77.344101817816[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 29 )[/C][C]22.9019607843137[/C][C]0.299352113425611[/C][C]76.5050913529123[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 29 )[/C][C]22.9183673469388[/C][C]0.302816617198027[/C][C]75.683981807218[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 29 )[/C][C]22.936170212766[/C][C]0.306277605479219[/C][C]74.8868666936283[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 29 )[/C][C]22.9555555555556[/C][C]0.309700988989976[/C][C]74.1216733934891[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 29 )[/C][C]22.9767441860465[/C][C]0.313039562267897[/C][C]73.3988509937387[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 29 )[/C][C]23[/C][C]0.316227766016838[/C][C]72.7323861838727[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 29 )[/C][C]23.025641025641[/C][C]0.319173991883282[/C][C]72.1413448814503[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 29 )[/C][C]23.0540540540541[/C][C]0.321749034746461[/C][C]71.6522866097197[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 29 )[/C][C]23.0857142857143[/C][C]0.323768328241273[/C][C]71.3031889534011[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 29 )[/C][C]23.1212121212121[/C][C]0.324963796811018[/C][C]71.1501168687359[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 29 )[/C][C]23.1612903225806[/C][C]0.324937625754985[/C][C]71.2791886404842[/C][/ROW]
[ROW][C]Median[/C][C]22[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]27.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]22.78125[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]22.78125[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]22.78125[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]22.78125[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]22.78125[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]22.78125[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]22.78125[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]22.78125[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]89[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=129745&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=129745&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 Mean23.01123595505620.64980046871136235.4127721709565
Geometric Mean22.1384906575896
Harmonic Mean21.0012647445702
Quadratic Mean23.8049187627971
Winsorized Mean ( 1 / 29 )22.95505617977530.58842905424473639.0107456696521
Winsorized Mean ( 2 / 29 )22.88764044943820.54483323962549842.0085244159672
Winsorized Mean ( 3 / 29 )22.88764044943820.54483323962549842.0085244159672
Winsorized Mean ( 4 / 29 )22.70786516853930.4865930439248746.6670566956264
Winsorized Mean ( 5 / 29 )22.82022471910110.46302558898549549.2850184999516
Winsorized Mean ( 6 / 29 )22.82022471910110.46302558898549549.2850184999516
Winsorized Mean ( 7 / 29 )22.82022471910110.46302558898549549.2850184999516
Winsorized Mean ( 8 / 29 )22.82022471910110.46302558898549549.2850184999516
Winsorized Mean ( 9 / 29 )22.82022471910110.46302558898549549.2850184999516
Winsorized Mean ( 10 / 29 )22.82022471910110.46302558898549549.2850184999516
Winsorized Mean ( 11 / 29 )23.19101123595510.39946222931489958.0555795618749
Winsorized Mean ( 12 / 29 )23.46067415730340.36477152929482664.3160780740136
Winsorized Mean ( 13 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 14 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 15 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 16 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 17 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 18 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 19 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 20 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 21 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 22 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 23 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 24 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 25 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 26 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 27 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 28 / 29 )22.73033707865170.24484681007611492.8349324689412
Winsorized Mean ( 29 / 29 )22.73033707865170.24484681007611492.8349324689412
Trimmed Mean ( 1 / 29 )22.90804597701150.54877866969306541.743688743996
Trimmed Mean ( 2 / 29 )22.85882352941180.50130165057314445.5989392879058
Trimmed Mean ( 3 / 29 )22.84337349397590.47397194614599848.1956235589932
Trimmed Mean ( 4 / 29 )22.82716049382720.44158459176492451.6937432137105
Trimmed Mean ( 5 / 29 )22.86075949367090.42546886034667353.7307465346439
Trimmed Mean ( 6 / 29 )22.87012987012990.41393641115273655.2503458355857
Trimmed Mean ( 7 / 29 )22.880.4004321989375357.1382622593979
Trimmed Mean ( 8 / 29 )22.89041095890410.38451853893767559.5300580880817
Trimmed Mean ( 9 / 29 )22.90140845070420.3656008145017962.640474370694
Trimmed Mean ( 10 / 29 )22.91304347826090.34283503500283966.8340196855061
Trimmed Mean ( 11 / 29 )22.92537313432840.31494755784940772.79108081
Trimmed Mean ( 12 / 29 )22.89230769230770.29590399050643677.3639708377294
Trimmed Mean ( 13 / 29 )22.82539682539680.27947328351839781.6729117647279
Trimmed Mean ( 14 / 29 )22.83606557377050.28263043110053280.7983255194756
Trimmed Mean ( 15 / 29 )22.84745762711860.28585753290522979.9260295676495
Trimmed Mean ( 16 / 29 )22.8596491228070.2891507274155379.0578994115969
Trimmed Mean ( 17 / 29 )22.87272727272730.29250404521597278.196276758631
Trimmed Mean ( 18 / 29 )22.88679245283020.29590869781822677.344101817816
Trimmed Mean ( 19 / 29 )22.90196078431370.29935211342561176.5050913529123
Trimmed Mean ( 20 / 29 )22.91836734693880.30281661719802775.683981807218
Trimmed Mean ( 21 / 29 )22.9361702127660.30627760547921974.8868666936283
Trimmed Mean ( 22 / 29 )22.95555555555560.30970098898997674.1216733934891
Trimmed Mean ( 23 / 29 )22.97674418604650.31303956226789773.3988509937387
Trimmed Mean ( 24 / 29 )230.31622776601683872.7323861838727
Trimmed Mean ( 25 / 29 )23.0256410256410.31917399188328272.1413448814503
Trimmed Mean ( 26 / 29 )23.05405405405410.32174903474646171.6522866097197
Trimmed Mean ( 27 / 29 )23.08571428571430.32376832824127371.3031889534011
Trimmed Mean ( 28 / 29 )23.12121212121210.32496379681101871.1501168687359
Trimmed Mean ( 29 / 29 )23.16129032258060.32493762575498571.2791886404842
Median22
Midrange27.5
Midmean - Weighted Average at Xnp22.78125
Midmean - Weighted Average at X(n+1)p22.78125
Midmean - Empirical Distribution Function22.78125
Midmean - Empirical Distribution Function - Averaging22.78125
Midmean - Empirical Distribution Function - Interpolation22.78125
Midmean - Closest Observation22.78125
Midmean - True Basic - Statistics Graphics Toolkit22.78125
Midmean - MS Excel (old versions)22.78125
Number of observations89



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')