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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 computationWed, 20 Oct 2010 15:06:40 +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/Oct/20/t1287587125dhql2aovd40c0pm.htm/, Retrieved Fri, 03 May 2024 19:06:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=87231, Retrieved Fri, 03 May 2024 19:06:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W52
Estimated Impact94
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [Opgave 5 IKO2] [2010-10-20 15:06:40] [c4eb40020db64a143131e9d41e371811] [Current]
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Dataseries X:
101,02
101,15
101,51
101,75
101,8
101,8
101,8
101,82
101,99
102,25
102,34
102,35
102,35
102,39
102,49
102,67
102,68
102,7
102,71
102,72
102,83
102,92
103,04
103,08
103,09
103,11
103,18
103,18
103,22
103,25
103,25
103,25
103,47
103,57
103,66
103,7
103,7
103,75
103,85
104,02
104,13
104,17
104,18
104,2
104,5
104,78
104,88
104,89
104,9
104,95
105,24
105,35
105,44
105,46
105,47
105,48
105,75
106,1
106,19
106,23
106,24
106,25
106,35
106,48
106,52
106,55
106,55
106,56
106,89
107,09
107,24
107,28
107,3
107,31
107,47
107,35
107,31
107,32
107,32
107,34
107,53
107,72
107,75
107,79
107,81
107,9
107,8
107,86
107,8
107,74
107,75
107,83
107,8
107,81
107,86
107,83




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87231&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=87231&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87231&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean104.9479166666670.219484239766431478.156959143625
Geometric Mean104.926095515109
Harmonic Mean104.904260899049
Quadratic Mean104.969717915057
Winsorized Mean ( 1 / 32 )104.9488541666670.21917453140073478.836904525108
Winsorized Mean ( 2 / 32 )104.9563541666670.217865750137902481.747838291392
Winsorized Mean ( 3 / 32 )104.9629166666670.216524375510145484.762588135249
Winsorized Mean ( 4 / 32 )104.9650.216201153087793485.496948100813
Winsorized Mean ( 5 / 32 )104.9639583333330.216056283235607485.817661775063
Winsorized Mean ( 6 / 32 )104.9639583333330.216056283235607485.817661775063
Winsorized Mean ( 7 / 32 )104.96468750.215731007027483486.553550860808
Winsorized Mean ( 8 / 32 )104.9788541666670.213600600286609491.472655160174
Winsorized Mean ( 9 / 32 )105.0032291666670.210123579698784499.721303611859
Winsorized Mean ( 10 / 32 )105.01156250.208699414930217503.171331530147
Winsorized Mean ( 11 / 32 )105.0081250.207905823426074505.075438819242
Winsorized Mean ( 12 / 32 )105.0081250.207905823426074505.075438819242
Winsorized Mean ( 13 / 32 )105.01218750.206992255720304507.324233626868
Winsorized Mean ( 14 / 32 )105.0238541666670.204665022090637513.149990623
Winsorized Mean ( 15 / 32 )105.0222916666670.197015254505942533.066802009991
Winsorized Mean ( 16 / 32 )105.0139583333330.195474539507733537.225761461273
Winsorized Mean ( 17 / 32 )104.996250.192254528498213546.131479035492
Winsorized Mean ( 18 / 32 )104.996250.191777594711513547.489659352249
Winsorized Mean ( 19 / 32 )104.9942708333330.191021133256754549.647408343083
Winsorized Mean ( 20 / 32 )105.01718750.188183007646217558.058821641493
Winsorized Mean ( 21 / 32 )105.03468750.185515282455843566.178085759597
Winsorized Mean ( 22 / 32 )105.06218750.182259165962381576.443916799693
Winsorized Mean ( 23 / 32 )105.0693750.180833584717668581.027994130862
Winsorized Mean ( 24 / 32 )105.0668750.179895883173837584.04268706067
Winsorized Mean ( 25 / 32 )105.0616666666670.177948387615541590.405274666795
Winsorized Mean ( 26 / 32 )105.040.170577836325866615.789262324415
Winsorized Mean ( 27 / 32 )104.983750.163567361653374641.838010583541
Winsorized Mean ( 28 / 32 )104.8991666666670.150706789992049696.048045825943
Winsorized Mean ( 29 / 32 )104.9052083333330.149296154164773702.66517527004
Winsorized Mean ( 30 / 32 )104.9052083333330.149296154164773702.66517527004
Winsorized Mean ( 31 / 32 )104.8955208333330.148175443501394707.914336914717
Winsorized Mean ( 32 / 32 )104.9555208333330.138192107401483759.489979615198
Trimmed Mean ( 1 / 32 )104.9582978723400.217929811736931481.615144967126
Trimmed Mean ( 2 / 32 )104.9681521739130.216456109262750484.939660661161
Trimmed Mean ( 3 / 32 )104.9744444444440.215483726143037487.157180374555
Trimmed Mean ( 4 / 32 )104.9786363636360.214841633359825488.632648718576
Trimmed Mean ( 5 / 32 )104.9824418604650.214119322886929490.298775678006
Trimmed Mean ( 6 / 32 )104.9866666666670.213237235419887492.346782023959
Trimmed Mean ( 7 / 32 )104.9910975609760.212132034788728494.932779320865
Trimmed Mean ( 8 / 32 )104.9956250.210838654172698497.990396552229
Trimmed Mean ( 9 / 32 )104.9982051282050.209674338260233500.768029122805
Trimmed Mean ( 10 / 32 )104.99750.208856966501336502.724432700827
Trimmed Mean ( 11 / 32 )104.9956756756760.208030385482527504.713171742377
Trimmed Mean ( 12 / 32 )104.9941666666670.207070987767386507.044312671229
Trimmed Mean ( 13 / 32 )104.9925714285710.205820047002238510.118294878388
Trimmed Mean ( 14 / 32 )104.9904411764710.204367311409966513.734023568266
Trimmed Mean ( 15 / 32 )104.9869696969700.202882717816649517.476159757726
Trimmed Mean ( 16 / 32 )104.98343750.202137783379907519.365730367635
Trimmed Mean ( 17 / 32 )104.9804838709680.201302531062401521.506030336129
Trimmed Mean ( 18 / 32 )104.9790.200593427519054523.342171766961
Trimmed Mean ( 19 / 32 )104.9774137931030.199605412376568525.924685824937
Trimmed Mean ( 20 / 32 )104.9758928571430.198316744023573529.334491517595
Trimmed Mean ( 21 / 32 )104.9722222222220.196967340541924532.942273238842
Trimmed Mean ( 22 / 32 )104.9667307692310.195496182191421536.924709181544
Trimmed Mean ( 23 / 32 )104.95840.193938210231391541.195053180972
Trimmed Mean ( 24 / 32 )104.948750.191963451613371546.712142951954
Trimmed Mean ( 25 / 32 )104.9384782608700.18937858394531554.120091483916
Trimmed Mean ( 26 / 32 )104.9277272727270.18619588438292563.534084657525
Trimmed Mean ( 27 / 32 )104.9178571428570.183303514325363572.372316641068
Trimmed Mean ( 28 / 32 )104.9120.180719076512095580.525321536702
Trimmed Mean ( 29 / 32 )104.9131578947370.179634964639613584.035285698502
Trimmed Mean ( 30 / 32 )104.9138888888890.178005830909390589.384563151152
Trimmed Mean ( 31 / 32 )104.9147058823530.175299710399004598.48761668547
Trimmed Mean ( 32 / 32 )104.91656250.171364077482450612.243616289678
Median104.895
Midrange104.46
Midmean - Weighted Average at Xnp104.910612244898
Midmean - Weighted Average at X(n+1)p104.94875
Midmean - Empirical Distribution Function104.910612244898
Midmean - Empirical Distribution Function - Averaging104.94875
Midmean - Empirical Distribution Function - Interpolation104.94875
Midmean - Closest Observation104.910612244898
Midmean - True Basic - Statistics Graphics Toolkit104.94875
Midmean - MS Excel (old versions)104.9584
Number of observations96

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 104.947916666667 & 0.219484239766431 & 478.156959143625 \tabularnewline
Geometric Mean & 104.926095515109 &  &  \tabularnewline
Harmonic Mean & 104.904260899049 &  &  \tabularnewline
Quadratic Mean & 104.969717915057 &  &  \tabularnewline
Winsorized Mean ( 1 / 32 ) & 104.948854166667 & 0.21917453140073 & 478.836904525108 \tabularnewline
Winsorized Mean ( 2 / 32 ) & 104.956354166667 & 0.217865750137902 & 481.747838291392 \tabularnewline
Winsorized Mean ( 3 / 32 ) & 104.962916666667 & 0.216524375510145 & 484.762588135249 \tabularnewline
Winsorized Mean ( 4 / 32 ) & 104.965 & 0.216201153087793 & 485.496948100813 \tabularnewline
Winsorized Mean ( 5 / 32 ) & 104.963958333333 & 0.216056283235607 & 485.817661775063 \tabularnewline
Winsorized Mean ( 6 / 32 ) & 104.963958333333 & 0.216056283235607 & 485.817661775063 \tabularnewline
Winsorized Mean ( 7 / 32 ) & 104.9646875 & 0.215731007027483 & 486.553550860808 \tabularnewline
Winsorized Mean ( 8 / 32 ) & 104.978854166667 & 0.213600600286609 & 491.472655160174 \tabularnewline
Winsorized Mean ( 9 / 32 ) & 105.003229166667 & 0.210123579698784 & 499.721303611859 \tabularnewline
Winsorized Mean ( 10 / 32 ) & 105.0115625 & 0.208699414930217 & 503.171331530147 \tabularnewline
Winsorized Mean ( 11 / 32 ) & 105.008125 & 0.207905823426074 & 505.075438819242 \tabularnewline
Winsorized Mean ( 12 / 32 ) & 105.008125 & 0.207905823426074 & 505.075438819242 \tabularnewline
Winsorized Mean ( 13 / 32 ) & 105.0121875 & 0.206992255720304 & 507.324233626868 \tabularnewline
Winsorized Mean ( 14 / 32 ) & 105.023854166667 & 0.204665022090637 & 513.149990623 \tabularnewline
Winsorized Mean ( 15 / 32 ) & 105.022291666667 & 0.197015254505942 & 533.066802009991 \tabularnewline
Winsorized Mean ( 16 / 32 ) & 105.013958333333 & 0.195474539507733 & 537.225761461273 \tabularnewline
Winsorized Mean ( 17 / 32 ) & 104.99625 & 0.192254528498213 & 546.131479035492 \tabularnewline
Winsorized Mean ( 18 / 32 ) & 104.99625 & 0.191777594711513 & 547.489659352249 \tabularnewline
Winsorized Mean ( 19 / 32 ) & 104.994270833333 & 0.191021133256754 & 549.647408343083 \tabularnewline
Winsorized Mean ( 20 / 32 ) & 105.0171875 & 0.188183007646217 & 558.058821641493 \tabularnewline
Winsorized Mean ( 21 / 32 ) & 105.0346875 & 0.185515282455843 & 566.178085759597 \tabularnewline
Winsorized Mean ( 22 / 32 ) & 105.0621875 & 0.182259165962381 & 576.443916799693 \tabularnewline
Winsorized Mean ( 23 / 32 ) & 105.069375 & 0.180833584717668 & 581.027994130862 \tabularnewline
Winsorized Mean ( 24 / 32 ) & 105.066875 & 0.179895883173837 & 584.04268706067 \tabularnewline
Winsorized Mean ( 25 / 32 ) & 105.061666666667 & 0.177948387615541 & 590.405274666795 \tabularnewline
Winsorized Mean ( 26 / 32 ) & 105.04 & 0.170577836325866 & 615.789262324415 \tabularnewline
Winsorized Mean ( 27 / 32 ) & 104.98375 & 0.163567361653374 & 641.838010583541 \tabularnewline
Winsorized Mean ( 28 / 32 ) & 104.899166666667 & 0.150706789992049 & 696.048045825943 \tabularnewline
Winsorized Mean ( 29 / 32 ) & 104.905208333333 & 0.149296154164773 & 702.66517527004 \tabularnewline
Winsorized Mean ( 30 / 32 ) & 104.905208333333 & 0.149296154164773 & 702.66517527004 \tabularnewline
Winsorized Mean ( 31 / 32 ) & 104.895520833333 & 0.148175443501394 & 707.914336914717 \tabularnewline
Winsorized Mean ( 32 / 32 ) & 104.955520833333 & 0.138192107401483 & 759.489979615198 \tabularnewline
Trimmed Mean ( 1 / 32 ) & 104.958297872340 & 0.217929811736931 & 481.615144967126 \tabularnewline
Trimmed Mean ( 2 / 32 ) & 104.968152173913 & 0.216456109262750 & 484.939660661161 \tabularnewline
Trimmed Mean ( 3 / 32 ) & 104.974444444444 & 0.215483726143037 & 487.157180374555 \tabularnewline
Trimmed Mean ( 4 / 32 ) & 104.978636363636 & 0.214841633359825 & 488.632648718576 \tabularnewline
Trimmed Mean ( 5 / 32 ) & 104.982441860465 & 0.214119322886929 & 490.298775678006 \tabularnewline
Trimmed Mean ( 6 / 32 ) & 104.986666666667 & 0.213237235419887 & 492.346782023959 \tabularnewline
Trimmed Mean ( 7 / 32 ) & 104.991097560976 & 0.212132034788728 & 494.932779320865 \tabularnewline
Trimmed Mean ( 8 / 32 ) & 104.995625 & 0.210838654172698 & 497.990396552229 \tabularnewline
Trimmed Mean ( 9 / 32 ) & 104.998205128205 & 0.209674338260233 & 500.768029122805 \tabularnewline
Trimmed Mean ( 10 / 32 ) & 104.9975 & 0.208856966501336 & 502.724432700827 \tabularnewline
Trimmed Mean ( 11 / 32 ) & 104.995675675676 & 0.208030385482527 & 504.713171742377 \tabularnewline
Trimmed Mean ( 12 / 32 ) & 104.994166666667 & 0.207070987767386 & 507.044312671229 \tabularnewline
Trimmed Mean ( 13 / 32 ) & 104.992571428571 & 0.205820047002238 & 510.118294878388 \tabularnewline
Trimmed Mean ( 14 / 32 ) & 104.990441176471 & 0.204367311409966 & 513.734023568266 \tabularnewline
Trimmed Mean ( 15 / 32 ) & 104.986969696970 & 0.202882717816649 & 517.476159757726 \tabularnewline
Trimmed Mean ( 16 / 32 ) & 104.9834375 & 0.202137783379907 & 519.365730367635 \tabularnewline
Trimmed Mean ( 17 / 32 ) & 104.980483870968 & 0.201302531062401 & 521.506030336129 \tabularnewline
Trimmed Mean ( 18 / 32 ) & 104.979 & 0.200593427519054 & 523.342171766961 \tabularnewline
Trimmed Mean ( 19 / 32 ) & 104.977413793103 & 0.199605412376568 & 525.924685824937 \tabularnewline
Trimmed Mean ( 20 / 32 ) & 104.975892857143 & 0.198316744023573 & 529.334491517595 \tabularnewline
Trimmed Mean ( 21 / 32 ) & 104.972222222222 & 0.196967340541924 & 532.942273238842 \tabularnewline
Trimmed Mean ( 22 / 32 ) & 104.966730769231 & 0.195496182191421 & 536.924709181544 \tabularnewline
Trimmed Mean ( 23 / 32 ) & 104.9584 & 0.193938210231391 & 541.195053180972 \tabularnewline
Trimmed Mean ( 24 / 32 ) & 104.94875 & 0.191963451613371 & 546.712142951954 \tabularnewline
Trimmed Mean ( 25 / 32 ) & 104.938478260870 & 0.18937858394531 & 554.120091483916 \tabularnewline
Trimmed Mean ( 26 / 32 ) & 104.927727272727 & 0.18619588438292 & 563.534084657525 \tabularnewline
Trimmed Mean ( 27 / 32 ) & 104.917857142857 & 0.183303514325363 & 572.372316641068 \tabularnewline
Trimmed Mean ( 28 / 32 ) & 104.912 & 0.180719076512095 & 580.525321536702 \tabularnewline
Trimmed Mean ( 29 / 32 ) & 104.913157894737 & 0.179634964639613 & 584.035285698502 \tabularnewline
Trimmed Mean ( 30 / 32 ) & 104.913888888889 & 0.178005830909390 & 589.384563151152 \tabularnewline
Trimmed Mean ( 31 / 32 ) & 104.914705882353 & 0.175299710399004 & 598.48761668547 \tabularnewline
Trimmed Mean ( 32 / 32 ) & 104.9165625 & 0.171364077482450 & 612.243616289678 \tabularnewline
Median & 104.895 &  &  \tabularnewline
Midrange & 104.46 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 104.910612244898 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 104.94875 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 104.910612244898 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 104.94875 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 104.94875 &  &  \tabularnewline
Midmean - Closest Observation & 104.910612244898 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 104.94875 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 104.9584 &  &  \tabularnewline
Number of observations & 96 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87231&T=1

[TABLE]
[ROW][C]Central Tendency - Ungrouped Data[/C][/ROW]
[ROW][C]Measure[/C][C]Value[/C][C]S.E.[/C][C]Value/S.E.[/C][/ROW]
[ROW][C]Arithmetic Mean[/C][C]104.947916666667[/C][C]0.219484239766431[/C][C]478.156959143625[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]104.926095515109[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]104.904260899049[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]104.969717915057[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 32 )[/C][C]104.948854166667[/C][C]0.21917453140073[/C][C]478.836904525108[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 32 )[/C][C]104.956354166667[/C][C]0.217865750137902[/C][C]481.747838291392[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 32 )[/C][C]104.962916666667[/C][C]0.216524375510145[/C][C]484.762588135249[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 32 )[/C][C]104.965[/C][C]0.216201153087793[/C][C]485.496948100813[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 32 )[/C][C]104.963958333333[/C][C]0.216056283235607[/C][C]485.817661775063[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 32 )[/C][C]104.963958333333[/C][C]0.216056283235607[/C][C]485.817661775063[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 32 )[/C][C]104.9646875[/C][C]0.215731007027483[/C][C]486.553550860808[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 32 )[/C][C]104.978854166667[/C][C]0.213600600286609[/C][C]491.472655160174[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 32 )[/C][C]105.003229166667[/C][C]0.210123579698784[/C][C]499.721303611859[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 32 )[/C][C]105.0115625[/C][C]0.208699414930217[/C][C]503.171331530147[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 32 )[/C][C]105.008125[/C][C]0.207905823426074[/C][C]505.075438819242[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 32 )[/C][C]105.008125[/C][C]0.207905823426074[/C][C]505.075438819242[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 32 )[/C][C]105.0121875[/C][C]0.206992255720304[/C][C]507.324233626868[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 32 )[/C][C]105.023854166667[/C][C]0.204665022090637[/C][C]513.149990623[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 32 )[/C][C]105.022291666667[/C][C]0.197015254505942[/C][C]533.066802009991[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 32 )[/C][C]105.013958333333[/C][C]0.195474539507733[/C][C]537.225761461273[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 32 )[/C][C]104.99625[/C][C]0.192254528498213[/C][C]546.131479035492[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 32 )[/C][C]104.99625[/C][C]0.191777594711513[/C][C]547.489659352249[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 32 )[/C][C]104.994270833333[/C][C]0.191021133256754[/C][C]549.647408343083[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 32 )[/C][C]105.0171875[/C][C]0.188183007646217[/C][C]558.058821641493[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 32 )[/C][C]105.0346875[/C][C]0.185515282455843[/C][C]566.178085759597[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 32 )[/C][C]105.0621875[/C][C]0.182259165962381[/C][C]576.443916799693[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 32 )[/C][C]105.069375[/C][C]0.180833584717668[/C][C]581.027994130862[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 32 )[/C][C]105.066875[/C][C]0.179895883173837[/C][C]584.04268706067[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 32 )[/C][C]105.061666666667[/C][C]0.177948387615541[/C][C]590.405274666795[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 32 )[/C][C]105.04[/C][C]0.170577836325866[/C][C]615.789262324415[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 32 )[/C][C]104.98375[/C][C]0.163567361653374[/C][C]641.838010583541[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 32 )[/C][C]104.899166666667[/C][C]0.150706789992049[/C][C]696.048045825943[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 32 )[/C][C]104.905208333333[/C][C]0.149296154164773[/C][C]702.66517527004[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 32 )[/C][C]104.905208333333[/C][C]0.149296154164773[/C][C]702.66517527004[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 32 )[/C][C]104.895520833333[/C][C]0.148175443501394[/C][C]707.914336914717[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 32 )[/C][C]104.955520833333[/C][C]0.138192107401483[/C][C]759.489979615198[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 32 )[/C][C]104.958297872340[/C][C]0.217929811736931[/C][C]481.615144967126[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 32 )[/C][C]104.968152173913[/C][C]0.216456109262750[/C][C]484.939660661161[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 32 )[/C][C]104.974444444444[/C][C]0.215483726143037[/C][C]487.157180374555[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 32 )[/C][C]104.978636363636[/C][C]0.214841633359825[/C][C]488.632648718576[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 32 )[/C][C]104.982441860465[/C][C]0.214119322886929[/C][C]490.298775678006[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 32 )[/C][C]104.986666666667[/C][C]0.213237235419887[/C][C]492.346782023959[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 32 )[/C][C]104.991097560976[/C][C]0.212132034788728[/C][C]494.932779320865[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 32 )[/C][C]104.995625[/C][C]0.210838654172698[/C][C]497.990396552229[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 32 )[/C][C]104.998205128205[/C][C]0.209674338260233[/C][C]500.768029122805[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 32 )[/C][C]104.9975[/C][C]0.208856966501336[/C][C]502.724432700827[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 32 )[/C][C]104.995675675676[/C][C]0.208030385482527[/C][C]504.713171742377[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 32 )[/C][C]104.994166666667[/C][C]0.207070987767386[/C][C]507.044312671229[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 32 )[/C][C]104.992571428571[/C][C]0.205820047002238[/C][C]510.118294878388[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 32 )[/C][C]104.990441176471[/C][C]0.204367311409966[/C][C]513.734023568266[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 32 )[/C][C]104.986969696970[/C][C]0.202882717816649[/C][C]517.476159757726[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 32 )[/C][C]104.9834375[/C][C]0.202137783379907[/C][C]519.365730367635[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 32 )[/C][C]104.980483870968[/C][C]0.201302531062401[/C][C]521.506030336129[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 32 )[/C][C]104.979[/C][C]0.200593427519054[/C][C]523.342171766961[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 32 )[/C][C]104.977413793103[/C][C]0.199605412376568[/C][C]525.924685824937[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 32 )[/C][C]104.975892857143[/C][C]0.198316744023573[/C][C]529.334491517595[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 32 )[/C][C]104.972222222222[/C][C]0.196967340541924[/C][C]532.942273238842[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 32 )[/C][C]104.966730769231[/C][C]0.195496182191421[/C][C]536.924709181544[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 32 )[/C][C]104.9584[/C][C]0.193938210231391[/C][C]541.195053180972[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 32 )[/C][C]104.94875[/C][C]0.191963451613371[/C][C]546.712142951954[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 32 )[/C][C]104.938478260870[/C][C]0.18937858394531[/C][C]554.120091483916[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 32 )[/C][C]104.927727272727[/C][C]0.18619588438292[/C][C]563.534084657525[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 32 )[/C][C]104.917857142857[/C][C]0.183303514325363[/C][C]572.372316641068[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 32 )[/C][C]104.912[/C][C]0.180719076512095[/C][C]580.525321536702[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 32 )[/C][C]104.913157894737[/C][C]0.179634964639613[/C][C]584.035285698502[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 32 )[/C][C]104.913888888889[/C][C]0.178005830909390[/C][C]589.384563151152[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 32 )[/C][C]104.914705882353[/C][C]0.175299710399004[/C][C]598.48761668547[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 32 )[/C][C]104.9165625[/C][C]0.171364077482450[/C][C]612.243616289678[/C][/ROW]
[ROW][C]Median[/C][C]104.895[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]104.46[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]104.910612244898[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]104.94875[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]104.910612244898[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]104.94875[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]104.94875[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]104.910612244898[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]104.94875[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]104.9584[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]96[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=87231&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87231&T=1

As an alternative you can also use a QR Code:  

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

Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean104.9479166666670.219484239766431478.156959143625
Geometric Mean104.926095515109
Harmonic Mean104.904260899049
Quadratic Mean104.969717915057
Winsorized Mean ( 1 / 32 )104.9488541666670.21917453140073478.836904525108
Winsorized Mean ( 2 / 32 )104.9563541666670.217865750137902481.747838291392
Winsorized Mean ( 3 / 32 )104.9629166666670.216524375510145484.762588135249
Winsorized Mean ( 4 / 32 )104.9650.216201153087793485.496948100813
Winsorized Mean ( 5 / 32 )104.9639583333330.216056283235607485.817661775063
Winsorized Mean ( 6 / 32 )104.9639583333330.216056283235607485.817661775063
Winsorized Mean ( 7 / 32 )104.96468750.215731007027483486.553550860808
Winsorized Mean ( 8 / 32 )104.9788541666670.213600600286609491.472655160174
Winsorized Mean ( 9 / 32 )105.0032291666670.210123579698784499.721303611859
Winsorized Mean ( 10 / 32 )105.01156250.208699414930217503.171331530147
Winsorized Mean ( 11 / 32 )105.0081250.207905823426074505.075438819242
Winsorized Mean ( 12 / 32 )105.0081250.207905823426074505.075438819242
Winsorized Mean ( 13 / 32 )105.01218750.206992255720304507.324233626868
Winsorized Mean ( 14 / 32 )105.0238541666670.204665022090637513.149990623
Winsorized Mean ( 15 / 32 )105.0222916666670.197015254505942533.066802009991
Winsorized Mean ( 16 / 32 )105.0139583333330.195474539507733537.225761461273
Winsorized Mean ( 17 / 32 )104.996250.192254528498213546.131479035492
Winsorized Mean ( 18 / 32 )104.996250.191777594711513547.489659352249
Winsorized Mean ( 19 / 32 )104.9942708333330.191021133256754549.647408343083
Winsorized Mean ( 20 / 32 )105.01718750.188183007646217558.058821641493
Winsorized Mean ( 21 / 32 )105.03468750.185515282455843566.178085759597
Winsorized Mean ( 22 / 32 )105.06218750.182259165962381576.443916799693
Winsorized Mean ( 23 / 32 )105.0693750.180833584717668581.027994130862
Winsorized Mean ( 24 / 32 )105.0668750.179895883173837584.04268706067
Winsorized Mean ( 25 / 32 )105.0616666666670.177948387615541590.405274666795
Winsorized Mean ( 26 / 32 )105.040.170577836325866615.789262324415
Winsorized Mean ( 27 / 32 )104.983750.163567361653374641.838010583541
Winsorized Mean ( 28 / 32 )104.8991666666670.150706789992049696.048045825943
Winsorized Mean ( 29 / 32 )104.9052083333330.149296154164773702.66517527004
Winsorized Mean ( 30 / 32 )104.9052083333330.149296154164773702.66517527004
Winsorized Mean ( 31 / 32 )104.8955208333330.148175443501394707.914336914717
Winsorized Mean ( 32 / 32 )104.9555208333330.138192107401483759.489979615198
Trimmed Mean ( 1 / 32 )104.9582978723400.217929811736931481.615144967126
Trimmed Mean ( 2 / 32 )104.9681521739130.216456109262750484.939660661161
Trimmed Mean ( 3 / 32 )104.9744444444440.215483726143037487.157180374555
Trimmed Mean ( 4 / 32 )104.9786363636360.214841633359825488.632648718576
Trimmed Mean ( 5 / 32 )104.9824418604650.214119322886929490.298775678006
Trimmed Mean ( 6 / 32 )104.9866666666670.213237235419887492.346782023959
Trimmed Mean ( 7 / 32 )104.9910975609760.212132034788728494.932779320865
Trimmed Mean ( 8 / 32 )104.9956250.210838654172698497.990396552229
Trimmed Mean ( 9 / 32 )104.9982051282050.209674338260233500.768029122805
Trimmed Mean ( 10 / 32 )104.99750.208856966501336502.724432700827
Trimmed Mean ( 11 / 32 )104.9956756756760.208030385482527504.713171742377
Trimmed Mean ( 12 / 32 )104.9941666666670.207070987767386507.044312671229
Trimmed Mean ( 13 / 32 )104.9925714285710.205820047002238510.118294878388
Trimmed Mean ( 14 / 32 )104.9904411764710.204367311409966513.734023568266
Trimmed Mean ( 15 / 32 )104.9869696969700.202882717816649517.476159757726
Trimmed Mean ( 16 / 32 )104.98343750.202137783379907519.365730367635
Trimmed Mean ( 17 / 32 )104.9804838709680.201302531062401521.506030336129
Trimmed Mean ( 18 / 32 )104.9790.200593427519054523.342171766961
Trimmed Mean ( 19 / 32 )104.9774137931030.199605412376568525.924685824937
Trimmed Mean ( 20 / 32 )104.9758928571430.198316744023573529.334491517595
Trimmed Mean ( 21 / 32 )104.9722222222220.196967340541924532.942273238842
Trimmed Mean ( 22 / 32 )104.9667307692310.195496182191421536.924709181544
Trimmed Mean ( 23 / 32 )104.95840.193938210231391541.195053180972
Trimmed Mean ( 24 / 32 )104.948750.191963451613371546.712142951954
Trimmed Mean ( 25 / 32 )104.9384782608700.18937858394531554.120091483916
Trimmed Mean ( 26 / 32 )104.9277272727270.18619588438292563.534084657525
Trimmed Mean ( 27 / 32 )104.9178571428570.183303514325363572.372316641068
Trimmed Mean ( 28 / 32 )104.9120.180719076512095580.525321536702
Trimmed Mean ( 29 / 32 )104.9131578947370.179634964639613584.035285698502
Trimmed Mean ( 30 / 32 )104.9138888888890.178005830909390589.384563151152
Trimmed Mean ( 31 / 32 )104.9147058823530.175299710399004598.48761668547
Trimmed Mean ( 32 / 32 )104.91656250.171364077482450612.243616289678
Median104.895
Midrange104.46
Midmean - Weighted Average at Xnp104.910612244898
Midmean - Weighted Average at X(n+1)p104.94875
Midmean - Empirical Distribution Function104.910612244898
Midmean - Empirical Distribution Function - Averaging104.94875
Midmean - Empirical Distribution Function - Interpolation104.94875
Midmean - Closest Observation104.910612244898
Midmean - True Basic - Statistics Graphics Toolkit104.94875
Midmean - MS Excel (old versions)104.9584
Number of observations96



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')