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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 computationTue, 24 Feb 2015 10:42:39 +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/2015/Feb/24/t1424774690770avrvkytsssiy.htm/, Retrieved Sat, 18 May 2024 01:07:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277455, Retrieved Sat, 18 May 2024 01:07:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsAVW
Estimated Impact148
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [centrummaten gemi...] [2015-02-24 10:42:39] [09743efd8c85782f9ae22fefb9801b71] [Current]
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Dataseries X:
551,91
551,46
550,12
549,95
548,01
548,92
548,92
549,06
547,07
546,5
544,95
544,23
544,23
541,6
541,37
540,43
540,47
540,52
540,52
539,7
540,89
540,51
537,43
538,14
538,14
537,74
540,33
540,02
539,21
539,84
539,84
537,3
536,27
536,75
536,21
536,99
536,99
536,57
536,91
536,97
540,45
542,42
542,42
542,98
540,19
537,16
537,35
537,03
537,03
536,27
534,71
537,12
537,07
537,33
537,33
538,79
539,24
537,17
536,46
532,3
532,3
532,89
533,47
532,54
533,8
534,15
534,15
534,15
534,28
535,63
534,21
533,78
533,78
534,55
536,93
536,09
533,91
533,99
533,99
533,76
532,5
529,5
528,62
528,7
521,27
521,19
519,43
516,81
516,78
515,45
516,22
517,01
518,19
516,79
516,87
514,1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277455&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277455&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277455&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'Gwilym Jenkins' @ jenkins.wessa.net







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean535.89156250.869890574991408616.044796789864
Geometric Mean535.823862736329
Harmonic Mean535.755525069923
Quadratic Mean535.95863102657
Winsorized Mean ( 1 / 32 )535.90093750.865389224849257619.260007071788
Winsorized Mean ( 2 / 32 )535.88906250.856370119991947625.768052842665
Winsorized Mean ( 3 / 32 )535.901250.851259518971948629.539215781339
Winsorized Mean ( 4 / 32 )535.8645833333330.844890796907406634.241236021015
Winsorized Mean ( 5 / 32 )535.8583333333330.843449523061823635.317607849374
Winsorized Mean ( 6 / 32 )535.8620833333330.842558901536551635.993617011341
Winsorized Mean ( 7 / 32 )535.80593750.82957841198138645.877387551915
Winsorized Mean ( 8 / 32 )535.82593750.794453105200294674.458862320023
Winsorized Mean ( 9 / 32 )535.888750.759697961248129705.397114821229
Winsorized Mean ( 10 / 32 )535.9106250.695394006902221770.657526065442
Winsorized Mean ( 11 / 32 )535.8372916666670.682355046607592785.276366505449
Winsorized Mean ( 12 / 32 )536.7560416666670.4960274972739931082.10944880375
Winsorized Mean ( 13 / 32 )536.5976041666670.4685356467741411145.2652703399
Winsorized Mean ( 14 / 32 )536.6326041666670.4365841854468311229.16180213316
Winsorized Mean ( 15 / 32 )537.0701041666670.3684978247094641457.45800423682
Winsorized Mean ( 16 / 32 )536.93343750.3483977683664791541.15062222557
Winsorized Mean ( 17 / 32 )536.9281250.3377835817222931589.56253072547
Winsorized Mean ( 18 / 32 )536.8456250.3246053546062291653.84094064386
Winsorized Mean ( 19 / 32 )536.8416666666670.3056055846868851756.64874454667
Winsorized Mean ( 20 / 32 )536.96250.2897003896950661853.50976077456
Winsorized Mean ( 21 / 32 )537.023750.281518293086091907.5980609039
Winsorized Mean ( 22 / 32 )537.0191666666670.2797667679415221919.52450470785
Winsorized Mean ( 23 / 32 )537.0143750.2791453047273361923.78079052609
Winsorized Mean ( 24 / 32 )537.0143750.2778886488349531932.48042786717
Winsorized Mean ( 25 / 32 )537.0169791666670.2710562963387981981.20090335566
Winsorized Mean ( 26 / 32 )537.0007291666670.2635925569320832037.23783181415
Winsorized Mean ( 27 / 32 )536.9529166666670.2575505365443232084.84487693645
Winsorized Mean ( 28 / 32 )536.9470833333330.2453754693923852188.26716730469
Winsorized Mean ( 29 / 32 )536.9470833333330.2453754693923852188.26716730469
Winsorized Mean ( 30 / 32 )536.9033333333330.2399769116574682237.31245487351
Winsorized Mean ( 31 / 32 )536.7741666666670.2197180044101712443.01402658206
Winsorized Mean ( 32 / 32 )536.78750.2156751435466332488.87048907394
Trimmed Mean ( 1 / 32 )535.9529787234040.840069405214461637.986546583708
Trimmed Mean ( 2 / 32 )536.0072826086960.811134251874672660.812043591909
Trimmed Mean ( 3 / 32 )536.0703333333330.783506657850704684.193718026428
Trimmed Mean ( 4 / 32 )536.1318181818180.75396076319056711.087160441946
Trimmed Mean ( 5 / 32 )536.2063953488370.721980800772251742.687886956683
Trimmed Mean ( 6 / 32 )536.2859523809520.685058534442409782.832306172862
Trimmed Mean ( 7 / 32 )536.3686585365850.641676674031118835.886171717961
Trimmed Mean ( 8 / 32 )536.4651250.593185671024296904.379777201373
Trimmed Mean ( 9 / 32 )536.5634615384620.543881256105926986.545234855383
Trimmed Mean ( 10 / 32 )536.6581578947370.4926911316905731089.23851755419
Trimmed Mean ( 11 / 32 )536.7551351351350.446079936788581203.27118722116
Trimmed Mean ( 12 / 32 )536.8663888888890.3902106241547881375.83744689618
Trimmed Mean ( 13 / 32 )536.8790.3685735555333691456.64004359475
Trimmed Mean ( 14 / 32 )536.9095588235290.3480652301938041542.55441867772
Trimmed Mean ( 15 / 32 )536.9383333333330.3298072887427571628.03658882183
Trimmed Mean ( 16 / 32 )536.925156250.3208455464734411673.46925070829
Trimmed Mean ( 17 / 32 )536.924354838710.3135471663726781712.41973273178
Trimmed Mean ( 18 / 32 )536.9240.3064636272092671751.99910308888
Trimmed Mean ( 19 / 32 )536.9312068965520.2999924457191871789.81575889133
Trimmed Mean ( 20 / 32 )536.9392857142860.2951505071864081819.20502469329
Trimmed Mean ( 21 / 32 )536.9372222222220.2916571626683571840.98760788115
Trimmed Mean ( 22 / 32 )536.9296153846150.2884074911660051861.70481638275
Trimmed Mean ( 23 / 32 )536.92180.2843775429579071888.05977580119
Trimmed Mean ( 24 / 32 )536.913750.2791599647231961923.31930738128
Trimmed Mean ( 25 / 32 )536.9050.2725330720524021970.05448166953
Trimmed Mean ( 26 / 32 )536.8952272727270.2651766511291222024.6700642256
Trimmed Mean ( 27 / 32 )536.8859523809520.2570079468223262088.98580382073
Trimmed Mean ( 28 / 32 )536.880.2474656153271222169.51352732501
Trimmed Mean ( 29 / 32 )536.8739473684210.2375151532108892260.3776647957
Trimmed Mean ( 30 / 32 )536.8672222222220.2237812179556192399.07185744558
Trimmed Mean ( 31 / 32 )536.8638235294120.206166095537932604.03546047968
Trimmed Mean ( 32 / 32 )536.87250.1878319641972412858.2595209207
Median537.01
Midrange533.005
Midmean - Weighted Average at Xnp536.7884
Midmean - Weighted Average at X(n+1)p536.91375
Midmean - Empirical Distribution Function536.7884
Midmean - Empirical Distribution Function - Averaging536.91375
Midmean - Empirical Distribution Function - Interpolation536.91375
Midmean - Closest Observation536.7884
Midmean - True Basic - Statistics Graphics Toolkit536.91375
Midmean - MS Excel (old versions)536.860196078431
Number of observations96

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 535.8915625 & 0.869890574991408 & 616.044796789864 \tabularnewline
Geometric Mean & 535.823862736329 &  &  \tabularnewline
Harmonic Mean & 535.755525069923 &  &  \tabularnewline
Quadratic Mean & 535.95863102657 &  &  \tabularnewline
Winsorized Mean ( 1 / 32 ) & 535.9009375 & 0.865389224849257 & 619.260007071788 \tabularnewline
Winsorized Mean ( 2 / 32 ) & 535.8890625 & 0.856370119991947 & 625.768052842665 \tabularnewline
Winsorized Mean ( 3 / 32 ) & 535.90125 & 0.851259518971948 & 629.539215781339 \tabularnewline
Winsorized Mean ( 4 / 32 ) & 535.864583333333 & 0.844890796907406 & 634.241236021015 \tabularnewline
Winsorized Mean ( 5 / 32 ) & 535.858333333333 & 0.843449523061823 & 635.317607849374 \tabularnewline
Winsorized Mean ( 6 / 32 ) & 535.862083333333 & 0.842558901536551 & 635.993617011341 \tabularnewline
Winsorized Mean ( 7 / 32 ) & 535.8059375 & 0.82957841198138 & 645.877387551915 \tabularnewline
Winsorized Mean ( 8 / 32 ) & 535.8259375 & 0.794453105200294 & 674.458862320023 \tabularnewline
Winsorized Mean ( 9 / 32 ) & 535.88875 & 0.759697961248129 & 705.397114821229 \tabularnewline
Winsorized Mean ( 10 / 32 ) & 535.910625 & 0.695394006902221 & 770.657526065442 \tabularnewline
Winsorized Mean ( 11 / 32 ) & 535.837291666667 & 0.682355046607592 & 785.276366505449 \tabularnewline
Winsorized Mean ( 12 / 32 ) & 536.756041666667 & 0.496027497273993 & 1082.10944880375 \tabularnewline
Winsorized Mean ( 13 / 32 ) & 536.597604166667 & 0.468535646774141 & 1145.2652703399 \tabularnewline
Winsorized Mean ( 14 / 32 ) & 536.632604166667 & 0.436584185446831 & 1229.16180213316 \tabularnewline
Winsorized Mean ( 15 / 32 ) & 537.070104166667 & 0.368497824709464 & 1457.45800423682 \tabularnewline
Winsorized Mean ( 16 / 32 ) & 536.9334375 & 0.348397768366479 & 1541.15062222557 \tabularnewline
Winsorized Mean ( 17 / 32 ) & 536.928125 & 0.337783581722293 & 1589.56253072547 \tabularnewline
Winsorized Mean ( 18 / 32 ) & 536.845625 & 0.324605354606229 & 1653.84094064386 \tabularnewline
Winsorized Mean ( 19 / 32 ) & 536.841666666667 & 0.305605584686885 & 1756.64874454667 \tabularnewline
Winsorized Mean ( 20 / 32 ) & 536.9625 & 0.289700389695066 & 1853.50976077456 \tabularnewline
Winsorized Mean ( 21 / 32 ) & 537.02375 & 0.28151829308609 & 1907.5980609039 \tabularnewline
Winsorized Mean ( 22 / 32 ) & 537.019166666667 & 0.279766767941522 & 1919.52450470785 \tabularnewline
Winsorized Mean ( 23 / 32 ) & 537.014375 & 0.279145304727336 & 1923.78079052609 \tabularnewline
Winsorized Mean ( 24 / 32 ) & 537.014375 & 0.277888648834953 & 1932.48042786717 \tabularnewline
Winsorized Mean ( 25 / 32 ) & 537.016979166667 & 0.271056296338798 & 1981.20090335566 \tabularnewline
Winsorized Mean ( 26 / 32 ) & 537.000729166667 & 0.263592556932083 & 2037.23783181415 \tabularnewline
Winsorized Mean ( 27 / 32 ) & 536.952916666667 & 0.257550536544323 & 2084.84487693645 \tabularnewline
Winsorized Mean ( 28 / 32 ) & 536.947083333333 & 0.245375469392385 & 2188.26716730469 \tabularnewline
Winsorized Mean ( 29 / 32 ) & 536.947083333333 & 0.245375469392385 & 2188.26716730469 \tabularnewline
Winsorized Mean ( 30 / 32 ) & 536.903333333333 & 0.239976911657468 & 2237.31245487351 \tabularnewline
Winsorized Mean ( 31 / 32 ) & 536.774166666667 & 0.219718004410171 & 2443.01402658206 \tabularnewline
Winsorized Mean ( 32 / 32 ) & 536.7875 & 0.215675143546633 & 2488.87048907394 \tabularnewline
Trimmed Mean ( 1 / 32 ) & 535.952978723404 & 0.840069405214461 & 637.986546583708 \tabularnewline
Trimmed Mean ( 2 / 32 ) & 536.007282608696 & 0.811134251874672 & 660.812043591909 \tabularnewline
Trimmed Mean ( 3 / 32 ) & 536.070333333333 & 0.783506657850704 & 684.193718026428 \tabularnewline
Trimmed Mean ( 4 / 32 ) & 536.131818181818 & 0.75396076319056 & 711.087160441946 \tabularnewline
Trimmed Mean ( 5 / 32 ) & 536.206395348837 & 0.721980800772251 & 742.687886956683 \tabularnewline
Trimmed Mean ( 6 / 32 ) & 536.285952380952 & 0.685058534442409 & 782.832306172862 \tabularnewline
Trimmed Mean ( 7 / 32 ) & 536.368658536585 & 0.641676674031118 & 835.886171717961 \tabularnewline
Trimmed Mean ( 8 / 32 ) & 536.465125 & 0.593185671024296 & 904.379777201373 \tabularnewline
Trimmed Mean ( 9 / 32 ) & 536.563461538462 & 0.543881256105926 & 986.545234855383 \tabularnewline
Trimmed Mean ( 10 / 32 ) & 536.658157894737 & 0.492691131690573 & 1089.23851755419 \tabularnewline
Trimmed Mean ( 11 / 32 ) & 536.755135135135 & 0.44607993678858 & 1203.27118722116 \tabularnewline
Trimmed Mean ( 12 / 32 ) & 536.866388888889 & 0.390210624154788 & 1375.83744689618 \tabularnewline
Trimmed Mean ( 13 / 32 ) & 536.879 & 0.368573555533369 & 1456.64004359475 \tabularnewline
Trimmed Mean ( 14 / 32 ) & 536.909558823529 & 0.348065230193804 & 1542.55441867772 \tabularnewline
Trimmed Mean ( 15 / 32 ) & 536.938333333333 & 0.329807288742757 & 1628.03658882183 \tabularnewline
Trimmed Mean ( 16 / 32 ) & 536.92515625 & 0.320845546473441 & 1673.46925070829 \tabularnewline
Trimmed Mean ( 17 / 32 ) & 536.92435483871 & 0.313547166372678 & 1712.41973273178 \tabularnewline
Trimmed Mean ( 18 / 32 ) & 536.924 & 0.306463627209267 & 1751.99910308888 \tabularnewline
Trimmed Mean ( 19 / 32 ) & 536.931206896552 & 0.299992445719187 & 1789.81575889133 \tabularnewline
Trimmed Mean ( 20 / 32 ) & 536.939285714286 & 0.295150507186408 & 1819.20502469329 \tabularnewline
Trimmed Mean ( 21 / 32 ) & 536.937222222222 & 0.291657162668357 & 1840.98760788115 \tabularnewline
Trimmed Mean ( 22 / 32 ) & 536.929615384615 & 0.288407491166005 & 1861.70481638275 \tabularnewline
Trimmed Mean ( 23 / 32 ) & 536.9218 & 0.284377542957907 & 1888.05977580119 \tabularnewline
Trimmed Mean ( 24 / 32 ) & 536.91375 & 0.279159964723196 & 1923.31930738128 \tabularnewline
Trimmed Mean ( 25 / 32 ) & 536.905 & 0.272533072052402 & 1970.05448166953 \tabularnewline
Trimmed Mean ( 26 / 32 ) & 536.895227272727 & 0.265176651129122 & 2024.6700642256 \tabularnewline
Trimmed Mean ( 27 / 32 ) & 536.885952380952 & 0.257007946822326 & 2088.98580382073 \tabularnewline
Trimmed Mean ( 28 / 32 ) & 536.88 & 0.247465615327122 & 2169.51352732501 \tabularnewline
Trimmed Mean ( 29 / 32 ) & 536.873947368421 & 0.237515153210889 & 2260.3776647957 \tabularnewline
Trimmed Mean ( 30 / 32 ) & 536.867222222222 & 0.223781217955619 & 2399.07185744558 \tabularnewline
Trimmed Mean ( 31 / 32 ) & 536.863823529412 & 0.20616609553793 & 2604.03546047968 \tabularnewline
Trimmed Mean ( 32 / 32 ) & 536.8725 & 0.187831964197241 & 2858.2595209207 \tabularnewline
Median & 537.01 &  &  \tabularnewline
Midrange & 533.005 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 536.7884 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 536.91375 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 536.7884 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 536.91375 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 536.91375 &  &  \tabularnewline
Midmean - Closest Observation & 536.7884 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 536.91375 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 536.860196078431 &  &  \tabularnewline
Number of observations & 96 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277455&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]535.8915625[/C][C]0.869890574991408[/C][C]616.044796789864[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]535.823862736329[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]535.755525069923[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]535.95863102657[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 32 )[/C][C]535.9009375[/C][C]0.865389224849257[/C][C]619.260007071788[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 32 )[/C][C]535.8890625[/C][C]0.856370119991947[/C][C]625.768052842665[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 32 )[/C][C]535.90125[/C][C]0.851259518971948[/C][C]629.539215781339[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 32 )[/C][C]535.864583333333[/C][C]0.844890796907406[/C][C]634.241236021015[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 32 )[/C][C]535.858333333333[/C][C]0.843449523061823[/C][C]635.317607849374[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 32 )[/C][C]535.862083333333[/C][C]0.842558901536551[/C][C]635.993617011341[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 32 )[/C][C]535.8059375[/C][C]0.82957841198138[/C][C]645.877387551915[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 32 )[/C][C]535.8259375[/C][C]0.794453105200294[/C][C]674.458862320023[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 32 )[/C][C]535.88875[/C][C]0.759697961248129[/C][C]705.397114821229[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 32 )[/C][C]535.910625[/C][C]0.695394006902221[/C][C]770.657526065442[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 32 )[/C][C]535.837291666667[/C][C]0.682355046607592[/C][C]785.276366505449[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 32 )[/C][C]536.756041666667[/C][C]0.496027497273993[/C][C]1082.10944880375[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 32 )[/C][C]536.597604166667[/C][C]0.468535646774141[/C][C]1145.2652703399[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 32 )[/C][C]536.632604166667[/C][C]0.436584185446831[/C][C]1229.16180213316[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 32 )[/C][C]537.070104166667[/C][C]0.368497824709464[/C][C]1457.45800423682[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 32 )[/C][C]536.9334375[/C][C]0.348397768366479[/C][C]1541.15062222557[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 32 )[/C][C]536.928125[/C][C]0.337783581722293[/C][C]1589.56253072547[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 32 )[/C][C]536.845625[/C][C]0.324605354606229[/C][C]1653.84094064386[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 32 )[/C][C]536.841666666667[/C][C]0.305605584686885[/C][C]1756.64874454667[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 32 )[/C][C]536.9625[/C][C]0.289700389695066[/C][C]1853.50976077456[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 32 )[/C][C]537.02375[/C][C]0.28151829308609[/C][C]1907.5980609039[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 32 )[/C][C]537.019166666667[/C][C]0.279766767941522[/C][C]1919.52450470785[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 32 )[/C][C]537.014375[/C][C]0.279145304727336[/C][C]1923.78079052609[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 32 )[/C][C]537.014375[/C][C]0.277888648834953[/C][C]1932.48042786717[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 32 )[/C][C]537.016979166667[/C][C]0.271056296338798[/C][C]1981.20090335566[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 32 )[/C][C]537.000729166667[/C][C]0.263592556932083[/C][C]2037.23783181415[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 32 )[/C][C]536.952916666667[/C][C]0.257550536544323[/C][C]2084.84487693645[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 32 )[/C][C]536.947083333333[/C][C]0.245375469392385[/C][C]2188.26716730469[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 32 )[/C][C]536.947083333333[/C][C]0.245375469392385[/C][C]2188.26716730469[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 32 )[/C][C]536.903333333333[/C][C]0.239976911657468[/C][C]2237.31245487351[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 32 )[/C][C]536.774166666667[/C][C]0.219718004410171[/C][C]2443.01402658206[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 32 )[/C][C]536.7875[/C][C]0.215675143546633[/C][C]2488.87048907394[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 32 )[/C][C]535.952978723404[/C][C]0.840069405214461[/C][C]637.986546583708[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 32 )[/C][C]536.007282608696[/C][C]0.811134251874672[/C][C]660.812043591909[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 32 )[/C][C]536.070333333333[/C][C]0.783506657850704[/C][C]684.193718026428[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 32 )[/C][C]536.131818181818[/C][C]0.75396076319056[/C][C]711.087160441946[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 32 )[/C][C]536.206395348837[/C][C]0.721980800772251[/C][C]742.687886956683[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 32 )[/C][C]536.285952380952[/C][C]0.685058534442409[/C][C]782.832306172862[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 32 )[/C][C]536.368658536585[/C][C]0.641676674031118[/C][C]835.886171717961[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 32 )[/C][C]536.465125[/C][C]0.593185671024296[/C][C]904.379777201373[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 32 )[/C][C]536.563461538462[/C][C]0.543881256105926[/C][C]986.545234855383[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 32 )[/C][C]536.658157894737[/C][C]0.492691131690573[/C][C]1089.23851755419[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 32 )[/C][C]536.755135135135[/C][C]0.44607993678858[/C][C]1203.27118722116[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 32 )[/C][C]536.866388888889[/C][C]0.390210624154788[/C][C]1375.83744689618[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 32 )[/C][C]536.879[/C][C]0.368573555533369[/C][C]1456.64004359475[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 32 )[/C][C]536.909558823529[/C][C]0.348065230193804[/C][C]1542.55441867772[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 32 )[/C][C]536.938333333333[/C][C]0.329807288742757[/C][C]1628.03658882183[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 32 )[/C][C]536.92515625[/C][C]0.320845546473441[/C][C]1673.46925070829[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 32 )[/C][C]536.92435483871[/C][C]0.313547166372678[/C][C]1712.41973273178[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 32 )[/C][C]536.924[/C][C]0.306463627209267[/C][C]1751.99910308888[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 32 )[/C][C]536.931206896552[/C][C]0.299992445719187[/C][C]1789.81575889133[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 32 )[/C][C]536.939285714286[/C][C]0.295150507186408[/C][C]1819.20502469329[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 32 )[/C][C]536.937222222222[/C][C]0.291657162668357[/C][C]1840.98760788115[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 32 )[/C][C]536.929615384615[/C][C]0.288407491166005[/C][C]1861.70481638275[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 32 )[/C][C]536.9218[/C][C]0.284377542957907[/C][C]1888.05977580119[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 32 )[/C][C]536.91375[/C][C]0.279159964723196[/C][C]1923.31930738128[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 32 )[/C][C]536.905[/C][C]0.272533072052402[/C][C]1970.05448166953[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 32 )[/C][C]536.895227272727[/C][C]0.265176651129122[/C][C]2024.6700642256[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 32 )[/C][C]536.885952380952[/C][C]0.257007946822326[/C][C]2088.98580382073[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 32 )[/C][C]536.88[/C][C]0.247465615327122[/C][C]2169.51352732501[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 32 )[/C][C]536.873947368421[/C][C]0.237515153210889[/C][C]2260.3776647957[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 32 )[/C][C]536.867222222222[/C][C]0.223781217955619[/C][C]2399.07185744558[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 32 )[/C][C]536.863823529412[/C][C]0.20616609553793[/C][C]2604.03546047968[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 32 )[/C][C]536.8725[/C][C]0.187831964197241[/C][C]2858.2595209207[/C][/ROW]
[ROW][C]Median[/C][C]537.01[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]533.005[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]536.7884[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]536.91375[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]536.7884[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]536.91375[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]536.91375[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]536.7884[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]536.91375[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]536.860196078431[/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=277455&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277455&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 Mean535.89156250.869890574991408616.044796789864
Geometric Mean535.823862736329
Harmonic Mean535.755525069923
Quadratic Mean535.95863102657
Winsorized Mean ( 1 / 32 )535.90093750.865389224849257619.260007071788
Winsorized Mean ( 2 / 32 )535.88906250.856370119991947625.768052842665
Winsorized Mean ( 3 / 32 )535.901250.851259518971948629.539215781339
Winsorized Mean ( 4 / 32 )535.8645833333330.844890796907406634.241236021015
Winsorized Mean ( 5 / 32 )535.8583333333330.843449523061823635.317607849374
Winsorized Mean ( 6 / 32 )535.8620833333330.842558901536551635.993617011341
Winsorized Mean ( 7 / 32 )535.80593750.82957841198138645.877387551915
Winsorized Mean ( 8 / 32 )535.82593750.794453105200294674.458862320023
Winsorized Mean ( 9 / 32 )535.888750.759697961248129705.397114821229
Winsorized Mean ( 10 / 32 )535.9106250.695394006902221770.657526065442
Winsorized Mean ( 11 / 32 )535.8372916666670.682355046607592785.276366505449
Winsorized Mean ( 12 / 32 )536.7560416666670.4960274972739931082.10944880375
Winsorized Mean ( 13 / 32 )536.5976041666670.4685356467741411145.2652703399
Winsorized Mean ( 14 / 32 )536.6326041666670.4365841854468311229.16180213316
Winsorized Mean ( 15 / 32 )537.0701041666670.3684978247094641457.45800423682
Winsorized Mean ( 16 / 32 )536.93343750.3483977683664791541.15062222557
Winsorized Mean ( 17 / 32 )536.9281250.3377835817222931589.56253072547
Winsorized Mean ( 18 / 32 )536.8456250.3246053546062291653.84094064386
Winsorized Mean ( 19 / 32 )536.8416666666670.3056055846868851756.64874454667
Winsorized Mean ( 20 / 32 )536.96250.2897003896950661853.50976077456
Winsorized Mean ( 21 / 32 )537.023750.281518293086091907.5980609039
Winsorized Mean ( 22 / 32 )537.0191666666670.2797667679415221919.52450470785
Winsorized Mean ( 23 / 32 )537.0143750.2791453047273361923.78079052609
Winsorized Mean ( 24 / 32 )537.0143750.2778886488349531932.48042786717
Winsorized Mean ( 25 / 32 )537.0169791666670.2710562963387981981.20090335566
Winsorized Mean ( 26 / 32 )537.0007291666670.2635925569320832037.23783181415
Winsorized Mean ( 27 / 32 )536.9529166666670.2575505365443232084.84487693645
Winsorized Mean ( 28 / 32 )536.9470833333330.2453754693923852188.26716730469
Winsorized Mean ( 29 / 32 )536.9470833333330.2453754693923852188.26716730469
Winsorized Mean ( 30 / 32 )536.9033333333330.2399769116574682237.31245487351
Winsorized Mean ( 31 / 32 )536.7741666666670.2197180044101712443.01402658206
Winsorized Mean ( 32 / 32 )536.78750.2156751435466332488.87048907394
Trimmed Mean ( 1 / 32 )535.9529787234040.840069405214461637.986546583708
Trimmed Mean ( 2 / 32 )536.0072826086960.811134251874672660.812043591909
Trimmed Mean ( 3 / 32 )536.0703333333330.783506657850704684.193718026428
Trimmed Mean ( 4 / 32 )536.1318181818180.75396076319056711.087160441946
Trimmed Mean ( 5 / 32 )536.2063953488370.721980800772251742.687886956683
Trimmed Mean ( 6 / 32 )536.2859523809520.685058534442409782.832306172862
Trimmed Mean ( 7 / 32 )536.3686585365850.641676674031118835.886171717961
Trimmed Mean ( 8 / 32 )536.4651250.593185671024296904.379777201373
Trimmed Mean ( 9 / 32 )536.5634615384620.543881256105926986.545234855383
Trimmed Mean ( 10 / 32 )536.6581578947370.4926911316905731089.23851755419
Trimmed Mean ( 11 / 32 )536.7551351351350.446079936788581203.27118722116
Trimmed Mean ( 12 / 32 )536.8663888888890.3902106241547881375.83744689618
Trimmed Mean ( 13 / 32 )536.8790.3685735555333691456.64004359475
Trimmed Mean ( 14 / 32 )536.9095588235290.3480652301938041542.55441867772
Trimmed Mean ( 15 / 32 )536.9383333333330.3298072887427571628.03658882183
Trimmed Mean ( 16 / 32 )536.925156250.3208455464734411673.46925070829
Trimmed Mean ( 17 / 32 )536.924354838710.3135471663726781712.41973273178
Trimmed Mean ( 18 / 32 )536.9240.3064636272092671751.99910308888
Trimmed Mean ( 19 / 32 )536.9312068965520.2999924457191871789.81575889133
Trimmed Mean ( 20 / 32 )536.9392857142860.2951505071864081819.20502469329
Trimmed Mean ( 21 / 32 )536.9372222222220.2916571626683571840.98760788115
Trimmed Mean ( 22 / 32 )536.9296153846150.2884074911660051861.70481638275
Trimmed Mean ( 23 / 32 )536.92180.2843775429579071888.05977580119
Trimmed Mean ( 24 / 32 )536.913750.2791599647231961923.31930738128
Trimmed Mean ( 25 / 32 )536.9050.2725330720524021970.05448166953
Trimmed Mean ( 26 / 32 )536.8952272727270.2651766511291222024.6700642256
Trimmed Mean ( 27 / 32 )536.8859523809520.2570079468223262088.98580382073
Trimmed Mean ( 28 / 32 )536.880.2474656153271222169.51352732501
Trimmed Mean ( 29 / 32 )536.8739473684210.2375151532108892260.3776647957
Trimmed Mean ( 30 / 32 )536.8672222222220.2237812179556192399.07185744558
Trimmed Mean ( 31 / 32 )536.8638235294120.206166095537932604.03546047968
Trimmed Mean ( 32 / 32 )536.87250.1878319641972412858.2595209207
Median537.01
Midrange533.005
Midmean - Weighted Average at Xnp536.7884
Midmean - Weighted Average at X(n+1)p536.91375
Midmean - Empirical Distribution Function536.7884
Midmean - Empirical Distribution Function - Averaging536.91375
Midmean - Empirical Distribution Function - Interpolation536.91375
Midmean - Closest Observation536.7884
Midmean - True Basic - Statistics Graphics Toolkit536.91375
Midmean - MS Excel (old versions)536.860196078431
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')