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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 computationSun, 14 Nov 2010 20:27:58 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/14/t1289766550dugw5v6ra74j9w8.htm/, Retrieved Fri, 29 Mar 2024 00:11:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=94637, Retrieved Fri, 29 Mar 2024 00:11:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Arabica Price in ...] [2008-01-06 21:28:17] [74be16979710d4c4e7c6647856088456]
-  M D    [Central Tendency] [Mini-tutorial Uni...] [2010-11-14 20:27:58] [b4ba846736d082ffaee409a197f454c7] [Current]
-    D      [Central Tendency] [Mini-tutorial Uni...] [2010-11-14 20:54:36] [6ca0fc48dd5333d51a15728999009c83]
-    D        [Central Tendency] [Univariate analys...] [2010-12-11 11:12:58] [6ca0fc48dd5333d51a15728999009c83]
-    D      [Central Tendency] [Univariate analys...] [2010-12-11 10:52:21] [6ca0fc48dd5333d51a15728999009c83]
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Dataseries X:
1
6
6
5
6
6
7
4
7
1
4
3
3
3
7
4
7
5
7
3
5
6
7
4
5
6
7
6
1
5
7
5
6
4
7
5
6
6
6
6
7
5
5
6
3
6
2
5
3
6
3
6
6
6
2
6
3
7
6
5
2
3
6
6
6
3
6
5
7
7
6
7
2
7
5
6
5
5
7
6
6
7
6
4
3
6
7
5
6
6
6
7
6
4
7
6
6
6
4
6
6
2
3
1
5
2
6
4
6
4
7
1
3
6
6
5
5
6
5
5
1
5
6
6
4
6
4
6
6
5
6
5
5
6
6
5
4
5
4
6
2
7
5
5
6
3
7
2
4
7
6
6
6
2
4
5
6
3
7
5
4
5
5
7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94637&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94637&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94637&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean5.073170731707320.12461551690880440.7105861095932
Geometric Mean4.70319438729971
Harmonic Mean4.12776412776413
Quadratic Mean5.31679345874248
Winsorized Mean ( 1 / 54 )5.073170731707320.12461551690880440.7105861095932
Winsorized Mean ( 2 / 54 )5.073170731707320.12461551690880440.7105861095932
Winsorized Mean ( 3 / 54 )5.073170731707320.12461551690880440.7105861095932
Winsorized Mean ( 4 / 54 )5.073170731707320.12461551690880440.7105861095932
Winsorized Mean ( 5 / 54 )5.073170731707320.12461551690880440.7105861095932
Winsorized Mean ( 6 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 7 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 8 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 9 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 10 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 11 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 12 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 13 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 14 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 15 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 16 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 17 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 18 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 19 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 20 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 21 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 22 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 23 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 24 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 25 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 26 / 54 )5.042682926829270.090862909727869655.4977046402309
Winsorized Mean ( 27 / 54 )5.042682926829270.090862909727869655.4977046402309
Winsorized Mean ( 28 / 54 )5.042682926829270.090862909727869655.4977046402309
Winsorized Mean ( 29 / 54 )5.042682926829270.090862909727869655.4977046402309
Winsorized Mean ( 30 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 31 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 32 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 33 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 34 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 35 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 36 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 37 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 38 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 39 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 40 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 41 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 42 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 43 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 44 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 45 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 46 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 47 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 48 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 49 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 50 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 51 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 52 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 53 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 54 / 54 )5.512195121951220.0391513720387803140.791876118448
Trimmed Mean ( 1 / 54 )5.086419753086420.12303047319128041.3427634727403
Trimmed Mean ( 2 / 54 )5.10.12131356532587642.0398162917746
Trimmed Mean ( 3 / 54 )5.113924050632910.11945166300200842.8116605672283
Trimmed Mean ( 4 / 54 )5.128205128205130.1174297208889343.6704191186455
Trimmed Mean ( 5 / 54 )5.142857142857140.11523037137891444.6310905824106
Trimmed Mean ( 6 / 54 )5.157894736842110.11283339629180345.7124832394753
Trimmed Mean ( 7 / 54 )5.166666666666670.11169496118876246.2569359591354
Trimmed Mean ( 8 / 54 )5.175675675675680.11045553115433646.857550921953
Trimmed Mean ( 9 / 54 )5.184931506849320.10910527375531447.5222812645828
Trimmed Mean ( 10 / 54 )5.194444444444440.10763301422673448.2606984647116
Trimmed Mean ( 11 / 54 )5.204225352112680.10602597597333149.084437132856
Trimmed Mean ( 12 / 54 )5.214285714285710.10426945205392350.0077981764894
Trimmed Mean ( 13 / 54 )5.224637681159420.10234638332357951.0485814104555
Trimmed Mean ( 14 / 54 )5.235294117647060.10023680790944252.2292581620998
Trimmed Mean ( 15 / 54 )5.246268656716420.097917129463731453.5786607047099
Trimmed Mean ( 16 / 54 )5.250.097014775983841854.1154679455675
Trimmed Mean ( 17 / 54 )5.253846153846150.096021972777054754.7150407547303
Trimmed Mean ( 18 / 54 )5.25781250.094929323682583355.386600220398
Trimmed Mean ( 19 / 54 )5.261904761904760.093726092945701256.1413006402942
Trimmed Mean ( 20 / 54 )5.266129032258060.09239993841394856.9927764309325
Trimmed Mean ( 21 / 54 )5.270491803278690.090936572035528757.9578896070496
Trimmed Mean ( 22 / 54 )5.2750.089319321406236659.0577706698932
Trimmed Mean ( 23 / 54 )5.279661016949150.08752855391415260.319299027006
Trimmed Mean ( 24 / 54 )5.284482758620690.085540905706797561.7772598379299
Trimmed Mean ( 25 / 54 )5.289473684210530.083328226091463963.4775745544448
Trimmed Mean ( 26 / 54 )5.294642857142860.080856094319481265.4822979233018
Trimmed Mean ( 27 / 54 )5.309090909090910.079348320004156366.9086744220018
Trimmed Mean ( 28 / 54 )5.324074074074070.077638991704117868.5747452048852
Trimmed Mean ( 29 / 54 )5.339622641509430.075695983000271570.5403699095933
Trimmed Mean ( 30 / 54 )5.355769230769230.073479444462689172.8879929609259
Trimmed Mean ( 31 / 54 )5.362745098039220.073450096353205673.0120907160004
Trimmed Mean ( 32 / 54 )5.370.073381526863703873.1791805037533
Trimmed Mean ( 33 / 54 )5.377551020408160.073268362331037673.3952670609938
Trimmed Mean ( 34 / 54 )5.385416666666670.07310439493272373.6674815737521
Trimmed Mean ( 35 / 54 )5.393617021276600.072882421938891174.0043604176453
Trimmed Mean ( 36 / 54 )5.402173913043480.07259404597428374.4162119708446
Trimmed Mean ( 37 / 54 )5.411111111111110.072229424398405474.9156061560775
Trimmed Mean ( 38 / 54 )5.420454545454550.071776951380657675.5180380496802
Trimmed Mean ( 39 / 54 )5.430232558139530.071222849579095876.2428432761461
Trimmed Mean ( 40 / 54 )5.440476190476190.07055063829230177.114485739102
Trimmed Mean ( 41 / 54 )5.451219512195120.069740429444215578.1644098787129
Trimmed Mean ( 42 / 54 )5.46250.068767978086654479.4337735670622
Trimmed Mean ( 43 / 54 )5.474358974358970.067603373500718580.9776005379494
Trimmed Mean ( 44 / 54 )5.486842105263160.066209187502153382.8713100441644
Trimmed Mean ( 45 / 54 )5.50.064537772103921785.2214109768718
Trimmed Mean ( 46 / 54 )5.513888888888890.062527163285214888.183896392957
Trimmed Mean ( 47 / 54 )5.513888888888890.06009457202204691.7535262064284
Trimmed Mean ( 48 / 54 )5.529411764705880.06097894768809690.6773890718568
Trimmed Mean ( 49 / 54 )5.530303030303030.061903364684799589.3376807296713
Trimmed Mean ( 50 / 54 )5.531250.06287092313773187.9778715493444
Trimmed Mean ( 51 / 54 )5.532258064516130.063885068071649186.597044215583
Trimmed Mean ( 52 / 54 )5.533333333333330.064949640059660685.1942109032566
Trimmed Mean ( 53 / 54 )5.534482758620690.066068935206052283.768305654693
Trimmed Mean ( 54 / 54 )5.535714285714290.067247776549376682.3181757042881
Median6
Midrange4
Midmean - Weighted Average at Xnp5.37962962962963
Midmean - Weighted Average at X(n+1)p5.37962962962963
Midmean - Empirical Distribution Function5.37962962962963
Midmean - Empirical Distribution Function - Averaging5.37962962962963
Midmean - Empirical Distribution Function - Interpolation5.37962962962963
Midmean - Closest Observation5.37962962962963
Midmean - True Basic - Statistics Graphics Toolkit5.37962962962963
Midmean - MS Excel (old versions)5.37962962962963
Number of observations164

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 5.07317073170732 & 0.124615516908804 & 40.7105861095932 \tabularnewline
Geometric Mean & 4.70319438729971 &  &  \tabularnewline
Harmonic Mean & 4.12776412776413 &  &  \tabularnewline
Quadratic Mean & 5.31679345874248 &  &  \tabularnewline
Winsorized Mean ( 1 / 54 ) & 5.07317073170732 & 0.124615516908804 & 40.7105861095932 \tabularnewline
Winsorized Mean ( 2 / 54 ) & 5.07317073170732 & 0.124615516908804 & 40.7105861095932 \tabularnewline
Winsorized Mean ( 3 / 54 ) & 5.07317073170732 & 0.124615516908804 & 40.7105861095932 \tabularnewline
Winsorized Mean ( 4 / 54 ) & 5.07317073170732 & 0.124615516908804 & 40.7105861095932 \tabularnewline
Winsorized Mean ( 5 / 54 ) & 5.07317073170732 & 0.124615516908804 & 40.7105861095932 \tabularnewline
Winsorized Mean ( 6 / 54 ) & 5.10975609756098 & 0.117969565689610 & 43.3141892800152 \tabularnewline
Winsorized Mean ( 7 / 54 ) & 5.10975609756098 & 0.117969565689610 & 43.3141892800152 \tabularnewline
Winsorized Mean ( 8 / 54 ) & 5.10975609756098 & 0.117969565689610 & 43.3141892800152 \tabularnewline
Winsorized Mean ( 9 / 54 ) & 5.10975609756098 & 0.117969565689610 & 43.3141892800152 \tabularnewline
Winsorized Mean ( 10 / 54 ) & 5.10975609756098 & 0.117969565689610 & 43.3141892800152 \tabularnewline
Winsorized Mean ( 11 / 54 ) & 5.10975609756098 & 0.117969565689610 & 43.3141892800152 \tabularnewline
Winsorized Mean ( 12 / 54 ) & 5.10975609756098 & 0.117969565689610 & 43.3141892800152 \tabularnewline
Winsorized Mean ( 13 / 54 ) & 5.10975609756098 & 0.117969565689610 & 43.3141892800152 \tabularnewline
Winsorized Mean ( 14 / 54 ) & 5.10975609756098 & 0.117969565689610 & 43.3141892800152 \tabularnewline
Winsorized Mean ( 15 / 54 ) & 5.20121951219512 & 0.104578659145088 & 49.7349990400926 \tabularnewline
Winsorized Mean ( 16 / 54 ) & 5.20121951219512 & 0.104578659145088 & 49.7349990400926 \tabularnewline
Winsorized Mean ( 17 / 54 ) & 5.20121951219512 & 0.104578659145088 & 49.7349990400926 \tabularnewline
Winsorized Mean ( 18 / 54 ) & 5.20121951219512 & 0.104578659145088 & 49.7349990400926 \tabularnewline
Winsorized Mean ( 19 / 54 ) & 5.20121951219512 & 0.104578659145088 & 49.7349990400926 \tabularnewline
Winsorized Mean ( 20 / 54 ) & 5.20121951219512 & 0.104578659145088 & 49.7349990400926 \tabularnewline
Winsorized Mean ( 21 / 54 ) & 5.20121951219512 & 0.104578659145088 & 49.7349990400926 \tabularnewline
Winsorized Mean ( 22 / 54 ) & 5.20121951219512 & 0.104578659145088 & 49.7349990400926 \tabularnewline
Winsorized Mean ( 23 / 54 ) & 5.20121951219512 & 0.104578659145088 & 49.7349990400926 \tabularnewline
Winsorized Mean ( 24 / 54 ) & 5.20121951219512 & 0.104578659145088 & 49.7349990400926 \tabularnewline
Winsorized Mean ( 25 / 54 ) & 5.20121951219512 & 0.104578659145088 & 49.7349990400926 \tabularnewline
Winsorized Mean ( 26 / 54 ) & 5.04268292682927 & 0.0908629097278696 & 55.4977046402309 \tabularnewline
Winsorized Mean ( 27 / 54 ) & 5.04268292682927 & 0.0908629097278696 & 55.4977046402309 \tabularnewline
Winsorized Mean ( 28 / 54 ) & 5.04268292682927 & 0.0908629097278696 & 55.4977046402309 \tabularnewline
Winsorized Mean ( 29 / 54 ) & 5.04268292682927 & 0.0908629097278696 & 55.4977046402309 \tabularnewline
Winsorized Mean ( 30 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 31 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 32 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 33 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 34 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 35 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 36 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 37 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 38 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 39 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 40 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 41 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 42 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 43 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 44 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 45 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 46 / 54 ) & 5.22560975609756 & 0.067736440055569 & 77.1462118737067 \tabularnewline
Winsorized Mean ( 47 / 54 ) & 5.51219512195122 & 0.0391513720387803 & 140.791876118448 \tabularnewline
Winsorized Mean ( 48 / 54 ) & 5.51219512195122 & 0.0391513720387803 & 140.791876118448 \tabularnewline
Winsorized Mean ( 49 / 54 ) & 5.51219512195122 & 0.0391513720387803 & 140.791876118448 \tabularnewline
Winsorized Mean ( 50 / 54 ) & 5.51219512195122 & 0.0391513720387803 & 140.791876118448 \tabularnewline
Winsorized Mean ( 51 / 54 ) & 5.51219512195122 & 0.0391513720387803 & 140.791876118448 \tabularnewline
Winsorized Mean ( 52 / 54 ) & 5.51219512195122 & 0.0391513720387803 & 140.791876118448 \tabularnewline
Winsorized Mean ( 53 / 54 ) & 5.51219512195122 & 0.0391513720387803 & 140.791876118448 \tabularnewline
Winsorized Mean ( 54 / 54 ) & 5.51219512195122 & 0.0391513720387803 & 140.791876118448 \tabularnewline
Trimmed Mean ( 1 / 54 ) & 5.08641975308642 & 0.123030473191280 & 41.3427634727403 \tabularnewline
Trimmed Mean ( 2 / 54 ) & 5.1 & 0.121313565325876 & 42.0398162917746 \tabularnewline
Trimmed Mean ( 3 / 54 ) & 5.11392405063291 & 0.119451663002008 & 42.8116605672283 \tabularnewline
Trimmed Mean ( 4 / 54 ) & 5.12820512820513 & 0.11742972088893 & 43.6704191186455 \tabularnewline
Trimmed Mean ( 5 / 54 ) & 5.14285714285714 & 0.115230371378914 & 44.6310905824106 \tabularnewline
Trimmed Mean ( 6 / 54 ) & 5.15789473684211 & 0.112833396291803 & 45.7124832394753 \tabularnewline
Trimmed Mean ( 7 / 54 ) & 5.16666666666667 & 0.111694961188762 & 46.2569359591354 \tabularnewline
Trimmed Mean ( 8 / 54 ) & 5.17567567567568 & 0.110455531154336 & 46.857550921953 \tabularnewline
Trimmed Mean ( 9 / 54 ) & 5.18493150684932 & 0.109105273755314 & 47.5222812645828 \tabularnewline
Trimmed Mean ( 10 / 54 ) & 5.19444444444444 & 0.107633014226734 & 48.2606984647116 \tabularnewline
Trimmed Mean ( 11 / 54 ) & 5.20422535211268 & 0.106025975973331 & 49.084437132856 \tabularnewline
Trimmed Mean ( 12 / 54 ) & 5.21428571428571 & 0.104269452053923 & 50.0077981764894 \tabularnewline
Trimmed Mean ( 13 / 54 ) & 5.22463768115942 & 0.102346383323579 & 51.0485814104555 \tabularnewline
Trimmed Mean ( 14 / 54 ) & 5.23529411764706 & 0.100236807909442 & 52.2292581620998 \tabularnewline
Trimmed Mean ( 15 / 54 ) & 5.24626865671642 & 0.0979171294637314 & 53.5786607047099 \tabularnewline
Trimmed Mean ( 16 / 54 ) & 5.25 & 0.0970147759838418 & 54.1154679455675 \tabularnewline
Trimmed Mean ( 17 / 54 ) & 5.25384615384615 & 0.0960219727770547 & 54.7150407547303 \tabularnewline
Trimmed Mean ( 18 / 54 ) & 5.2578125 & 0.0949293236825833 & 55.386600220398 \tabularnewline
Trimmed Mean ( 19 / 54 ) & 5.26190476190476 & 0.0937260929457012 & 56.1413006402942 \tabularnewline
Trimmed Mean ( 20 / 54 ) & 5.26612903225806 & 0.092399938413948 & 56.9927764309325 \tabularnewline
Trimmed Mean ( 21 / 54 ) & 5.27049180327869 & 0.0909365720355287 & 57.9578896070496 \tabularnewline
Trimmed Mean ( 22 / 54 ) & 5.275 & 0.0893193214062366 & 59.0577706698932 \tabularnewline
Trimmed Mean ( 23 / 54 ) & 5.27966101694915 & 0.087528553914152 & 60.319299027006 \tabularnewline
Trimmed Mean ( 24 / 54 ) & 5.28448275862069 & 0.0855409057067975 & 61.7772598379299 \tabularnewline
Trimmed Mean ( 25 / 54 ) & 5.28947368421053 & 0.0833282260914639 & 63.4775745544448 \tabularnewline
Trimmed Mean ( 26 / 54 ) & 5.29464285714286 & 0.0808560943194812 & 65.4822979233018 \tabularnewline
Trimmed Mean ( 27 / 54 ) & 5.30909090909091 & 0.0793483200041563 & 66.9086744220018 \tabularnewline
Trimmed Mean ( 28 / 54 ) & 5.32407407407407 & 0.0776389917041178 & 68.5747452048852 \tabularnewline
Trimmed Mean ( 29 / 54 ) & 5.33962264150943 & 0.0756959830002715 & 70.5403699095933 \tabularnewline
Trimmed Mean ( 30 / 54 ) & 5.35576923076923 & 0.0734794444626891 & 72.8879929609259 \tabularnewline
Trimmed Mean ( 31 / 54 ) & 5.36274509803922 & 0.0734500963532056 & 73.0120907160004 \tabularnewline
Trimmed Mean ( 32 / 54 ) & 5.37 & 0.0733815268637038 & 73.1791805037533 \tabularnewline
Trimmed Mean ( 33 / 54 ) & 5.37755102040816 & 0.0732683623310376 & 73.3952670609938 \tabularnewline
Trimmed Mean ( 34 / 54 ) & 5.38541666666667 & 0.073104394932723 & 73.6674815737521 \tabularnewline
Trimmed Mean ( 35 / 54 ) & 5.39361702127660 & 0.0728824219388911 & 74.0043604176453 \tabularnewline
Trimmed Mean ( 36 / 54 ) & 5.40217391304348 & 0.072594045974283 & 74.4162119708446 \tabularnewline
Trimmed Mean ( 37 / 54 ) & 5.41111111111111 & 0.0722294243984054 & 74.9156061560775 \tabularnewline
Trimmed Mean ( 38 / 54 ) & 5.42045454545455 & 0.0717769513806576 & 75.5180380496802 \tabularnewline
Trimmed Mean ( 39 / 54 ) & 5.43023255813953 & 0.0712228495790958 & 76.2428432761461 \tabularnewline
Trimmed Mean ( 40 / 54 ) & 5.44047619047619 & 0.070550638292301 & 77.114485739102 \tabularnewline
Trimmed Mean ( 41 / 54 ) & 5.45121951219512 & 0.0697404294442155 & 78.1644098787129 \tabularnewline
Trimmed Mean ( 42 / 54 ) & 5.4625 & 0.0687679780866544 & 79.4337735670622 \tabularnewline
Trimmed Mean ( 43 / 54 ) & 5.47435897435897 & 0.0676033735007185 & 80.9776005379494 \tabularnewline
Trimmed Mean ( 44 / 54 ) & 5.48684210526316 & 0.0662091875021533 & 82.8713100441644 \tabularnewline
Trimmed Mean ( 45 / 54 ) & 5.5 & 0.0645377721039217 & 85.2214109768718 \tabularnewline
Trimmed Mean ( 46 / 54 ) & 5.51388888888889 & 0.0625271632852148 & 88.183896392957 \tabularnewline
Trimmed Mean ( 47 / 54 ) & 5.51388888888889 & 0.060094572022046 & 91.7535262064284 \tabularnewline
Trimmed Mean ( 48 / 54 ) & 5.52941176470588 & 0.060978947688096 & 90.6773890718568 \tabularnewline
Trimmed Mean ( 49 / 54 ) & 5.53030303030303 & 0.0619033646847995 & 89.3376807296713 \tabularnewline
Trimmed Mean ( 50 / 54 ) & 5.53125 & 0.062870923137731 & 87.9778715493444 \tabularnewline
Trimmed Mean ( 51 / 54 ) & 5.53225806451613 & 0.0638850680716491 & 86.597044215583 \tabularnewline
Trimmed Mean ( 52 / 54 ) & 5.53333333333333 & 0.0649496400596606 & 85.1942109032566 \tabularnewline
Trimmed Mean ( 53 / 54 ) & 5.53448275862069 & 0.0660689352060522 & 83.768305654693 \tabularnewline
Trimmed Mean ( 54 / 54 ) & 5.53571428571429 & 0.0672477765493766 & 82.3181757042881 \tabularnewline
Median & 6 &  &  \tabularnewline
Midrange & 4 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 5.37962962962963 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 5.37962962962963 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 5.37962962962963 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 5.37962962962963 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 5.37962962962963 &  &  \tabularnewline
Midmean - Closest Observation & 5.37962962962963 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 5.37962962962963 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 5.37962962962963 &  &  \tabularnewline
Number of observations & 164 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94637&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]5.07317073170732[/C][C]0.124615516908804[/C][C]40.7105861095932[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]4.70319438729971[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]4.12776412776413[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]5.31679345874248[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 54 )[/C][C]5.07317073170732[/C][C]0.124615516908804[/C][C]40.7105861095932[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 54 )[/C][C]5.07317073170732[/C][C]0.124615516908804[/C][C]40.7105861095932[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 54 )[/C][C]5.07317073170732[/C][C]0.124615516908804[/C][C]40.7105861095932[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 54 )[/C][C]5.07317073170732[/C][C]0.124615516908804[/C][C]40.7105861095932[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 54 )[/C][C]5.07317073170732[/C][C]0.124615516908804[/C][C]40.7105861095932[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 54 )[/C][C]5.10975609756098[/C][C]0.117969565689610[/C][C]43.3141892800152[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 54 )[/C][C]5.10975609756098[/C][C]0.117969565689610[/C][C]43.3141892800152[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 54 )[/C][C]5.10975609756098[/C][C]0.117969565689610[/C][C]43.3141892800152[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 54 )[/C][C]5.10975609756098[/C][C]0.117969565689610[/C][C]43.3141892800152[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 54 )[/C][C]5.10975609756098[/C][C]0.117969565689610[/C][C]43.3141892800152[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 54 )[/C][C]5.10975609756098[/C][C]0.117969565689610[/C][C]43.3141892800152[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 54 )[/C][C]5.10975609756098[/C][C]0.117969565689610[/C][C]43.3141892800152[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 54 )[/C][C]5.10975609756098[/C][C]0.117969565689610[/C][C]43.3141892800152[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 54 )[/C][C]5.10975609756098[/C][C]0.117969565689610[/C][C]43.3141892800152[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 54 )[/C][C]5.20121951219512[/C][C]0.104578659145088[/C][C]49.7349990400926[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 54 )[/C][C]5.20121951219512[/C][C]0.104578659145088[/C][C]49.7349990400926[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 54 )[/C][C]5.20121951219512[/C][C]0.104578659145088[/C][C]49.7349990400926[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 54 )[/C][C]5.20121951219512[/C][C]0.104578659145088[/C][C]49.7349990400926[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 54 )[/C][C]5.20121951219512[/C][C]0.104578659145088[/C][C]49.7349990400926[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 54 )[/C][C]5.20121951219512[/C][C]0.104578659145088[/C][C]49.7349990400926[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 54 )[/C][C]5.20121951219512[/C][C]0.104578659145088[/C][C]49.7349990400926[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 54 )[/C][C]5.20121951219512[/C][C]0.104578659145088[/C][C]49.7349990400926[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 54 )[/C][C]5.20121951219512[/C][C]0.104578659145088[/C][C]49.7349990400926[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 54 )[/C][C]5.20121951219512[/C][C]0.104578659145088[/C][C]49.7349990400926[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 54 )[/C][C]5.20121951219512[/C][C]0.104578659145088[/C][C]49.7349990400926[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 54 )[/C][C]5.04268292682927[/C][C]0.0908629097278696[/C][C]55.4977046402309[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 54 )[/C][C]5.04268292682927[/C][C]0.0908629097278696[/C][C]55.4977046402309[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 54 )[/C][C]5.04268292682927[/C][C]0.0908629097278696[/C][C]55.4977046402309[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 54 )[/C][C]5.04268292682927[/C][C]0.0908629097278696[/C][C]55.4977046402309[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 33 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 34 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 35 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 36 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 37 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 38 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 39 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 40 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 41 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 42 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 43 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 44 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 45 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 46 / 54 )[/C][C]5.22560975609756[/C][C]0.067736440055569[/C][C]77.1462118737067[/C][/ROW]
[ROW][C]Winsorized Mean ( 47 / 54 )[/C][C]5.51219512195122[/C][C]0.0391513720387803[/C][C]140.791876118448[/C][/ROW]
[ROW][C]Winsorized Mean ( 48 / 54 )[/C][C]5.51219512195122[/C][C]0.0391513720387803[/C][C]140.791876118448[/C][/ROW]
[ROW][C]Winsorized Mean ( 49 / 54 )[/C][C]5.51219512195122[/C][C]0.0391513720387803[/C][C]140.791876118448[/C][/ROW]
[ROW][C]Winsorized Mean ( 50 / 54 )[/C][C]5.51219512195122[/C][C]0.0391513720387803[/C][C]140.791876118448[/C][/ROW]
[ROW][C]Winsorized Mean ( 51 / 54 )[/C][C]5.51219512195122[/C][C]0.0391513720387803[/C][C]140.791876118448[/C][/ROW]
[ROW][C]Winsorized Mean ( 52 / 54 )[/C][C]5.51219512195122[/C][C]0.0391513720387803[/C][C]140.791876118448[/C][/ROW]
[ROW][C]Winsorized Mean ( 53 / 54 )[/C][C]5.51219512195122[/C][C]0.0391513720387803[/C][C]140.791876118448[/C][/ROW]
[ROW][C]Winsorized Mean ( 54 / 54 )[/C][C]5.51219512195122[/C][C]0.0391513720387803[/C][C]140.791876118448[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 54 )[/C][C]5.08641975308642[/C][C]0.123030473191280[/C][C]41.3427634727403[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 54 )[/C][C]5.1[/C][C]0.121313565325876[/C][C]42.0398162917746[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 54 )[/C][C]5.11392405063291[/C][C]0.119451663002008[/C][C]42.8116605672283[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 54 )[/C][C]5.12820512820513[/C][C]0.11742972088893[/C][C]43.6704191186455[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 54 )[/C][C]5.14285714285714[/C][C]0.115230371378914[/C][C]44.6310905824106[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 54 )[/C][C]5.15789473684211[/C][C]0.112833396291803[/C][C]45.7124832394753[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 54 )[/C][C]5.16666666666667[/C][C]0.111694961188762[/C][C]46.2569359591354[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 54 )[/C][C]5.17567567567568[/C][C]0.110455531154336[/C][C]46.857550921953[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 54 )[/C][C]5.18493150684932[/C][C]0.109105273755314[/C][C]47.5222812645828[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 54 )[/C][C]5.19444444444444[/C][C]0.107633014226734[/C][C]48.2606984647116[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 54 )[/C][C]5.20422535211268[/C][C]0.106025975973331[/C][C]49.084437132856[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 54 )[/C][C]5.21428571428571[/C][C]0.104269452053923[/C][C]50.0077981764894[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 54 )[/C][C]5.22463768115942[/C][C]0.102346383323579[/C][C]51.0485814104555[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 54 )[/C][C]5.23529411764706[/C][C]0.100236807909442[/C][C]52.2292581620998[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 54 )[/C][C]5.24626865671642[/C][C]0.0979171294637314[/C][C]53.5786607047099[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 54 )[/C][C]5.25[/C][C]0.0970147759838418[/C][C]54.1154679455675[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 54 )[/C][C]5.25384615384615[/C][C]0.0960219727770547[/C][C]54.7150407547303[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 54 )[/C][C]5.2578125[/C][C]0.0949293236825833[/C][C]55.386600220398[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 54 )[/C][C]5.26190476190476[/C][C]0.0937260929457012[/C][C]56.1413006402942[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 54 )[/C][C]5.26612903225806[/C][C]0.092399938413948[/C][C]56.9927764309325[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 54 )[/C][C]5.27049180327869[/C][C]0.0909365720355287[/C][C]57.9578896070496[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 54 )[/C][C]5.275[/C][C]0.0893193214062366[/C][C]59.0577706698932[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 54 )[/C][C]5.27966101694915[/C][C]0.087528553914152[/C][C]60.319299027006[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 54 )[/C][C]5.28448275862069[/C][C]0.0855409057067975[/C][C]61.7772598379299[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 54 )[/C][C]5.28947368421053[/C][C]0.0833282260914639[/C][C]63.4775745544448[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 54 )[/C][C]5.29464285714286[/C][C]0.0808560943194812[/C][C]65.4822979233018[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 54 )[/C][C]5.30909090909091[/C][C]0.0793483200041563[/C][C]66.9086744220018[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 54 )[/C][C]5.32407407407407[/C][C]0.0776389917041178[/C][C]68.5747452048852[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 54 )[/C][C]5.33962264150943[/C][C]0.0756959830002715[/C][C]70.5403699095933[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 54 )[/C][C]5.35576923076923[/C][C]0.0734794444626891[/C][C]72.8879929609259[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 54 )[/C][C]5.36274509803922[/C][C]0.0734500963532056[/C][C]73.0120907160004[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 54 )[/C][C]5.37[/C][C]0.0733815268637038[/C][C]73.1791805037533[/C][/ROW]
[ROW][C]Trimmed Mean ( 33 / 54 )[/C][C]5.37755102040816[/C][C]0.0732683623310376[/C][C]73.3952670609938[/C][/ROW]
[ROW][C]Trimmed Mean ( 34 / 54 )[/C][C]5.38541666666667[/C][C]0.073104394932723[/C][C]73.6674815737521[/C][/ROW]
[ROW][C]Trimmed Mean ( 35 / 54 )[/C][C]5.39361702127660[/C][C]0.0728824219388911[/C][C]74.0043604176453[/C][/ROW]
[ROW][C]Trimmed Mean ( 36 / 54 )[/C][C]5.40217391304348[/C][C]0.072594045974283[/C][C]74.4162119708446[/C][/ROW]
[ROW][C]Trimmed Mean ( 37 / 54 )[/C][C]5.41111111111111[/C][C]0.0722294243984054[/C][C]74.9156061560775[/C][/ROW]
[ROW][C]Trimmed Mean ( 38 / 54 )[/C][C]5.42045454545455[/C][C]0.0717769513806576[/C][C]75.5180380496802[/C][/ROW]
[ROW][C]Trimmed Mean ( 39 / 54 )[/C][C]5.43023255813953[/C][C]0.0712228495790958[/C][C]76.2428432761461[/C][/ROW]
[ROW][C]Trimmed Mean ( 40 / 54 )[/C][C]5.44047619047619[/C][C]0.070550638292301[/C][C]77.114485739102[/C][/ROW]
[ROW][C]Trimmed Mean ( 41 / 54 )[/C][C]5.45121951219512[/C][C]0.0697404294442155[/C][C]78.1644098787129[/C][/ROW]
[ROW][C]Trimmed Mean ( 42 / 54 )[/C][C]5.4625[/C][C]0.0687679780866544[/C][C]79.4337735670622[/C][/ROW]
[ROW][C]Trimmed Mean ( 43 / 54 )[/C][C]5.47435897435897[/C][C]0.0676033735007185[/C][C]80.9776005379494[/C][/ROW]
[ROW][C]Trimmed Mean ( 44 / 54 )[/C][C]5.48684210526316[/C][C]0.0662091875021533[/C][C]82.8713100441644[/C][/ROW]
[ROW][C]Trimmed Mean ( 45 / 54 )[/C][C]5.5[/C][C]0.0645377721039217[/C][C]85.2214109768718[/C][/ROW]
[ROW][C]Trimmed Mean ( 46 / 54 )[/C][C]5.51388888888889[/C][C]0.0625271632852148[/C][C]88.183896392957[/C][/ROW]
[ROW][C]Trimmed Mean ( 47 / 54 )[/C][C]5.51388888888889[/C][C]0.060094572022046[/C][C]91.7535262064284[/C][/ROW]
[ROW][C]Trimmed Mean ( 48 / 54 )[/C][C]5.52941176470588[/C][C]0.060978947688096[/C][C]90.6773890718568[/C][/ROW]
[ROW][C]Trimmed Mean ( 49 / 54 )[/C][C]5.53030303030303[/C][C]0.0619033646847995[/C][C]89.3376807296713[/C][/ROW]
[ROW][C]Trimmed Mean ( 50 / 54 )[/C][C]5.53125[/C][C]0.062870923137731[/C][C]87.9778715493444[/C][/ROW]
[ROW][C]Trimmed Mean ( 51 / 54 )[/C][C]5.53225806451613[/C][C]0.0638850680716491[/C][C]86.597044215583[/C][/ROW]
[ROW][C]Trimmed Mean ( 52 / 54 )[/C][C]5.53333333333333[/C][C]0.0649496400596606[/C][C]85.1942109032566[/C][/ROW]
[ROW][C]Trimmed Mean ( 53 / 54 )[/C][C]5.53448275862069[/C][C]0.0660689352060522[/C][C]83.768305654693[/C][/ROW]
[ROW][C]Trimmed Mean ( 54 / 54 )[/C][C]5.53571428571429[/C][C]0.0672477765493766[/C][C]82.3181757042881[/C][/ROW]
[ROW][C]Median[/C][C]6[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]4[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]5.37962962962963[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]5.37962962962963[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]5.37962962962963[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]5.37962962962963[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]5.37962962962963[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]5.37962962962963[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]5.37962962962963[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]5.37962962962963[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]164[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94637&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94637&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 Mean5.073170731707320.12461551690880440.7105861095932
Geometric Mean4.70319438729971
Harmonic Mean4.12776412776413
Quadratic Mean5.31679345874248
Winsorized Mean ( 1 / 54 )5.073170731707320.12461551690880440.7105861095932
Winsorized Mean ( 2 / 54 )5.073170731707320.12461551690880440.7105861095932
Winsorized Mean ( 3 / 54 )5.073170731707320.12461551690880440.7105861095932
Winsorized Mean ( 4 / 54 )5.073170731707320.12461551690880440.7105861095932
Winsorized Mean ( 5 / 54 )5.073170731707320.12461551690880440.7105861095932
Winsorized Mean ( 6 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 7 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 8 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 9 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 10 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 11 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 12 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 13 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 14 / 54 )5.109756097560980.11796956568961043.3141892800152
Winsorized Mean ( 15 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 16 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 17 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 18 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 19 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 20 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 21 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 22 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 23 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 24 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 25 / 54 )5.201219512195120.10457865914508849.7349990400926
Winsorized Mean ( 26 / 54 )5.042682926829270.090862909727869655.4977046402309
Winsorized Mean ( 27 / 54 )5.042682926829270.090862909727869655.4977046402309
Winsorized Mean ( 28 / 54 )5.042682926829270.090862909727869655.4977046402309
Winsorized Mean ( 29 / 54 )5.042682926829270.090862909727869655.4977046402309
Winsorized Mean ( 30 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 31 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 32 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 33 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 34 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 35 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 36 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 37 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 38 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 39 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 40 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 41 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 42 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 43 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 44 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 45 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 46 / 54 )5.225609756097560.06773644005556977.1462118737067
Winsorized Mean ( 47 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 48 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 49 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 50 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 51 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 52 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 53 / 54 )5.512195121951220.0391513720387803140.791876118448
Winsorized Mean ( 54 / 54 )5.512195121951220.0391513720387803140.791876118448
Trimmed Mean ( 1 / 54 )5.086419753086420.12303047319128041.3427634727403
Trimmed Mean ( 2 / 54 )5.10.12131356532587642.0398162917746
Trimmed Mean ( 3 / 54 )5.113924050632910.11945166300200842.8116605672283
Trimmed Mean ( 4 / 54 )5.128205128205130.1174297208889343.6704191186455
Trimmed Mean ( 5 / 54 )5.142857142857140.11523037137891444.6310905824106
Trimmed Mean ( 6 / 54 )5.157894736842110.11283339629180345.7124832394753
Trimmed Mean ( 7 / 54 )5.166666666666670.11169496118876246.2569359591354
Trimmed Mean ( 8 / 54 )5.175675675675680.11045553115433646.857550921953
Trimmed Mean ( 9 / 54 )5.184931506849320.10910527375531447.5222812645828
Trimmed Mean ( 10 / 54 )5.194444444444440.10763301422673448.2606984647116
Trimmed Mean ( 11 / 54 )5.204225352112680.10602597597333149.084437132856
Trimmed Mean ( 12 / 54 )5.214285714285710.10426945205392350.0077981764894
Trimmed Mean ( 13 / 54 )5.224637681159420.10234638332357951.0485814104555
Trimmed Mean ( 14 / 54 )5.235294117647060.10023680790944252.2292581620998
Trimmed Mean ( 15 / 54 )5.246268656716420.097917129463731453.5786607047099
Trimmed Mean ( 16 / 54 )5.250.097014775983841854.1154679455675
Trimmed Mean ( 17 / 54 )5.253846153846150.096021972777054754.7150407547303
Trimmed Mean ( 18 / 54 )5.25781250.094929323682583355.386600220398
Trimmed Mean ( 19 / 54 )5.261904761904760.093726092945701256.1413006402942
Trimmed Mean ( 20 / 54 )5.266129032258060.09239993841394856.9927764309325
Trimmed Mean ( 21 / 54 )5.270491803278690.090936572035528757.9578896070496
Trimmed Mean ( 22 / 54 )5.2750.089319321406236659.0577706698932
Trimmed Mean ( 23 / 54 )5.279661016949150.08752855391415260.319299027006
Trimmed Mean ( 24 / 54 )5.284482758620690.085540905706797561.7772598379299
Trimmed Mean ( 25 / 54 )5.289473684210530.083328226091463963.4775745544448
Trimmed Mean ( 26 / 54 )5.294642857142860.080856094319481265.4822979233018
Trimmed Mean ( 27 / 54 )5.309090909090910.079348320004156366.9086744220018
Trimmed Mean ( 28 / 54 )5.324074074074070.077638991704117868.5747452048852
Trimmed Mean ( 29 / 54 )5.339622641509430.075695983000271570.5403699095933
Trimmed Mean ( 30 / 54 )5.355769230769230.073479444462689172.8879929609259
Trimmed Mean ( 31 / 54 )5.362745098039220.073450096353205673.0120907160004
Trimmed Mean ( 32 / 54 )5.370.073381526863703873.1791805037533
Trimmed Mean ( 33 / 54 )5.377551020408160.073268362331037673.3952670609938
Trimmed Mean ( 34 / 54 )5.385416666666670.07310439493272373.6674815737521
Trimmed Mean ( 35 / 54 )5.393617021276600.072882421938891174.0043604176453
Trimmed Mean ( 36 / 54 )5.402173913043480.07259404597428374.4162119708446
Trimmed Mean ( 37 / 54 )5.411111111111110.072229424398405474.9156061560775
Trimmed Mean ( 38 / 54 )5.420454545454550.071776951380657675.5180380496802
Trimmed Mean ( 39 / 54 )5.430232558139530.071222849579095876.2428432761461
Trimmed Mean ( 40 / 54 )5.440476190476190.07055063829230177.114485739102
Trimmed Mean ( 41 / 54 )5.451219512195120.069740429444215578.1644098787129
Trimmed Mean ( 42 / 54 )5.46250.068767978086654479.4337735670622
Trimmed Mean ( 43 / 54 )5.474358974358970.067603373500718580.9776005379494
Trimmed Mean ( 44 / 54 )5.486842105263160.066209187502153382.8713100441644
Trimmed Mean ( 45 / 54 )5.50.064537772103921785.2214109768718
Trimmed Mean ( 46 / 54 )5.513888888888890.062527163285214888.183896392957
Trimmed Mean ( 47 / 54 )5.513888888888890.06009457202204691.7535262064284
Trimmed Mean ( 48 / 54 )5.529411764705880.06097894768809690.6773890718568
Trimmed Mean ( 49 / 54 )5.530303030303030.061903364684799589.3376807296713
Trimmed Mean ( 50 / 54 )5.531250.06287092313773187.9778715493444
Trimmed Mean ( 51 / 54 )5.532258064516130.063885068071649186.597044215583
Trimmed Mean ( 52 / 54 )5.533333333333330.064949640059660685.1942109032566
Trimmed Mean ( 53 / 54 )5.534482758620690.066068935206052283.768305654693
Trimmed Mean ( 54 / 54 )5.535714285714290.067247776549376682.3181757042881
Median6
Midrange4
Midmean - Weighted Average at Xnp5.37962962962963
Midmean - Weighted Average at X(n+1)p5.37962962962963
Midmean - Empirical Distribution Function5.37962962962963
Midmean - Empirical Distribution Function - Averaging5.37962962962963
Midmean - Empirical Distribution Function - Interpolation5.37962962962963
Midmean - Closest Observation5.37962962962963
Midmean - True Basic - Statistics Graphics Toolkit5.37962962962963
Midmean - MS Excel (old versions)5.37962962962963
Number of observations164



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')