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Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationSun, 16 Aug 2009 07:57:23 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Aug/16/t1250431061b6s388r1br4frbj.htm/, Retrieved Sun, 05 May 2024 18:25:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42638, Retrieved Sun, 05 May 2024 18:25:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Maarten Verhaegen...] [2008-08-17 13:34:14] [b57209f6d0b19d479b8c06a8ae81c48a]
-   PD    [Central Tendency] [] [2009-08-16 13:57:23] [e921d89db97faa9283224ee60d8fb091] [Current]
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Dataseries X:
72,84
73,96
73,26
73,86
73,04
212,8
157,92
111,55
99,01
89,5
100,95
116,06
131,5
137,43
138,53
137,26
136,81
182,98
149,45
109,34
93,37
84,09
83,83
82,94
82,88
81,41
79,87
79,66
76,07
182,69
165,78
142,5
120,6
105,73
98,72
98,41
96,08
97,3
97,5
97,02
98,75
232,81
240,83
193,4
148,28
138,34
135,34
134,02
133,86
131,67
132,43
130,21
129,98
206,16
195,17
159,16
136,33
125,18
121,21
119,38
119,26
119,75
118,78
116,97
121,69
223,51
228,58
205,22
189,4
180,14
177,59
176,39
171,16
173,11
171,74
175,97
179,64
254,62
240,5
212,01
176,36
153,24
146,69
141,52
142,6
143,19
142,32
142,03
144,92
177,31
194,4
189,19
180,44
175,84
178,54
176,55




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42638&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42638&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42638&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'George Udny Yule' @ 72.249.76.132







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean141.9602083333334.5798829037240530.9964711582257
Geometric Mean134.897237679770
Harmonic Mean127.909937951084
Quadratic Mean148.813160890315
Winsorized Mean ( 1 / 32 )141.8186458333334.5444739568286331.2068343180256
Winsorized Mean ( 2 / 32 )141.8163541666674.5421702805916731.2221571200527
Winsorized Mean ( 3 / 32 )141.5947916666674.485982852025431.5638281146655
Winsorized Mean ( 4 / 32 )141.4227083333334.4482788251324931.7926806958017
Winsorized Mean ( 5 / 32 )141.2685416666674.377540467864232.2712131855154
Winsorized Mean ( 6 / 32 )140.8235416666674.2163711531715933.3992280448883
Winsorized Mean ( 7 / 32 )140.781254.2037216026397433.489670179775
Winsorized Mean ( 8 / 32 )140.4220833333334.0995631905650234.2529378877508
Winsorized Mean ( 9 / 32 )140.4717708333334.0640156227974734.5647713668579
Winsorized Mean ( 10 / 32 )139.4311458333333.8962779130975735.7857290838077
Winsorized Mean ( 11 / 32 )139.4448958333333.8675360486497236.0552284656837
Winsorized Mean ( 12 / 32 )139.3523958333333.8440185699776736.251748865548
Winsorized Mean ( 13 / 32 )139.5433333333333.6567696224451238.1602747071681
Winsorized Mean ( 14 / 32 )140.0770833333333.5728539777631739.2059357043834
Winsorized Mean ( 15 / 32 )139.5302083333333.3790552958668241.2926679548581
Winsorized Mean ( 16 / 32 )139.6385416666673.3514276578846841.6653903712194
Winsorized Mean ( 17 / 32 )139.28968753.2916194970630742.3164608255239
Winsorized Mean ( 18 / 32 )139.27093753.2791967621998642.4710523947241
Winsorized Mean ( 19 / 32 )139.3520833333333.2421879623581742.9808774047687
Winsorized Mean ( 20 / 32 )139.18753.2037982940210143.4445265358167
Winsorized Mean ( 21 / 32 )138.986253.1761957247308143.758717045619
Winsorized Mean ( 22 / 32 )138.9816666666673.1600554648511643.9807681265534
Winsorized Mean ( 23 / 32 )139.2643753.0753871130332545.2835268801799
Winsorized Mean ( 24 / 32 )140.4193752.9169934571783848.1383921703507
Winsorized Mean ( 25 / 32 )141.3516666666672.8005269776131750.4732387142142
Winsorized Mean ( 26 / 32 )141.8445833333332.7154242460234152.2366195783428
Winsorized Mean ( 27 / 32 )143.0764583333332.5656519381950855.7661217421357
Winsorized Mean ( 28 / 32 )142.5456252.4299891019018758.6610141125466
Winsorized Mean ( 29 / 32 )142.6785416666672.3152424846441161.6257444362674
Winsorized Mean ( 30 / 32 )142.6472916666672.2750473557784162.7008010643627
Winsorized Mean ( 31 / 32 )140.948752.0449907575500068.9239056360644
Winsorized Mean ( 32 / 32 )138.8654166666671.7552729514629479.1132892185962
Trimmed Mean ( 1 / 32 )141.4970212765964.4588792954864631.7337635535071
Trimmed Mean ( 2 / 32 )141.1614130434784.3612716560918732.3670305761171
Trimmed Mean ( 3 / 32 )140.8121111111114.2510405966854533.1241511127659
Trimmed Mean ( 4 / 32 )140.52754.1490981389974933.8694085539164
Trimmed Mean ( 5 / 32 )140.2776744186054.0450323409731834.6789994724383
Trimmed Mean ( 6 / 32 )140.0511904761903.9458788621040335.4930283900080
Trimmed Mean ( 7 / 32 )139.9004878048783.8726415068222536.1253391408479
Trimmed Mean ( 8 / 32 )139.74953.7905434586646436.8679324017648
Trimmed Mean ( 9 / 32 )139.6460256410263.717291848371937.5666026067305
Trimmed Mean ( 10 / 32 )139.5301315789473.6387079135966538.3460653869933
Trimmed Mean ( 11 / 32 )139.5429729729733.5783622778098538.9963234964518
Trimmed Mean ( 12 / 32 )139.5548611111113.5121526108883239.7348511219203
Trimmed Mean ( 13 / 32 )139.5783.4377618242467740.6014166006345
Trimmed Mean ( 14 / 32 )139.5817647058823.3813741871285341.2795972824337
Trimmed Mean ( 15 / 32 )139.5303030303033.3273332593285441.9345740734309
Trimmed Mean ( 16 / 32 )139.53031253.2928875822600342.3732389929435
Trimmed Mean ( 17 / 32 )139.5198387096773.2541525315624942.8744004334323
Trimmed Mean ( 18 / 32 )139.54153.2151002903671043.4019120392873
Trimmed Mean ( 19 / 32 )139.5663793103453.1678568244397944.0570351013341
Trimmed Mean ( 20 / 32 )139.5857142857143.1145341093005144.81752627749
Trimmed Mean ( 21 / 32 )139.6211111111113.0537625766715645.721010591233
Trimmed Mean ( 22 / 32 )139.6769230769232.9816708236048646.8451855822411
Trimmed Mean ( 23 / 32 )139.73762.8931309155815748.2997845854169
Trimmed Mean ( 24 / 32 )139.778752.7968521696639449.977167730247
Trimmed Mean ( 25 / 32 )139.7230434782612.7051079053649951.6515600731309
Trimmed Mean ( 26 / 32 )139.5809090909092.6092579282974053.4944849940491
Trimmed Mean ( 27 / 32 )139.3819047619052.5008249797491755.7343700141242
Trimmed Mean ( 28 / 32 )139.05352.3874922888853958.2424917757192
Trimmed Mean ( 29 / 32 )138.7384210526322.2693592169424161.1355046908612
Trimmed Mean ( 30 / 32 )138.3761111111112.1359952246311964.7829683865531
Trimmed Mean ( 31 / 32 )137.9741176470591.9583487859661370.4543126514569
Trimmed Mean ( 32 / 32 )137.686251.7908413249670376.8835563935485
Median137.345
Midrange163.73
Midmean - Weighted Average at Xnp138.986326530612
Midmean - Weighted Average at X(n+1)p139.77875
Midmean - Empirical Distribution Function138.986326530612
Midmean - Empirical Distribution Function - Averaging139.77875
Midmean - Empirical Distribution Function - Interpolation139.77875
Midmean - Closest Observation138.986326530612
Midmean - True Basic - Statistics Graphics Toolkit139.77875
Midmean - MS Excel (old versions)139.7376
Number of observations96

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 141.960208333333 & 4.57988290372405 & 30.9964711582257 \tabularnewline
Geometric Mean & 134.897237679770 &  &  \tabularnewline
Harmonic Mean & 127.909937951084 &  &  \tabularnewline
Quadratic Mean & 148.813160890315 &  &  \tabularnewline
Winsorized Mean ( 1 / 32 ) & 141.818645833333 & 4.54447395682863 & 31.2068343180256 \tabularnewline
Winsorized Mean ( 2 / 32 ) & 141.816354166667 & 4.54217028059167 & 31.2221571200527 \tabularnewline
Winsorized Mean ( 3 / 32 ) & 141.594791666667 & 4.4859828520254 & 31.5638281146655 \tabularnewline
Winsorized Mean ( 4 / 32 ) & 141.422708333333 & 4.44827882513249 & 31.7926806958017 \tabularnewline
Winsorized Mean ( 5 / 32 ) & 141.268541666667 & 4.3775404678642 & 32.2712131855154 \tabularnewline
Winsorized Mean ( 6 / 32 ) & 140.823541666667 & 4.21637115317159 & 33.3992280448883 \tabularnewline
Winsorized Mean ( 7 / 32 ) & 140.78125 & 4.20372160263974 & 33.489670179775 \tabularnewline
Winsorized Mean ( 8 / 32 ) & 140.422083333333 & 4.09956319056502 & 34.2529378877508 \tabularnewline
Winsorized Mean ( 9 / 32 ) & 140.471770833333 & 4.06401562279747 & 34.5647713668579 \tabularnewline
Winsorized Mean ( 10 / 32 ) & 139.431145833333 & 3.89627791309757 & 35.7857290838077 \tabularnewline
Winsorized Mean ( 11 / 32 ) & 139.444895833333 & 3.86753604864972 & 36.0552284656837 \tabularnewline
Winsorized Mean ( 12 / 32 ) & 139.352395833333 & 3.84401856997767 & 36.251748865548 \tabularnewline
Winsorized Mean ( 13 / 32 ) & 139.543333333333 & 3.65676962244512 & 38.1602747071681 \tabularnewline
Winsorized Mean ( 14 / 32 ) & 140.077083333333 & 3.57285397776317 & 39.2059357043834 \tabularnewline
Winsorized Mean ( 15 / 32 ) & 139.530208333333 & 3.37905529586682 & 41.2926679548581 \tabularnewline
Winsorized Mean ( 16 / 32 ) & 139.638541666667 & 3.35142765788468 & 41.6653903712194 \tabularnewline
Winsorized Mean ( 17 / 32 ) & 139.2896875 & 3.29161949706307 & 42.3164608255239 \tabularnewline
Winsorized Mean ( 18 / 32 ) & 139.2709375 & 3.27919676219986 & 42.4710523947241 \tabularnewline
Winsorized Mean ( 19 / 32 ) & 139.352083333333 & 3.24218796235817 & 42.9808774047687 \tabularnewline
Winsorized Mean ( 20 / 32 ) & 139.1875 & 3.20379829402101 & 43.4445265358167 \tabularnewline
Winsorized Mean ( 21 / 32 ) & 138.98625 & 3.17619572473081 & 43.758717045619 \tabularnewline
Winsorized Mean ( 22 / 32 ) & 138.981666666667 & 3.16005546485116 & 43.9807681265534 \tabularnewline
Winsorized Mean ( 23 / 32 ) & 139.264375 & 3.07538711303325 & 45.2835268801799 \tabularnewline
Winsorized Mean ( 24 / 32 ) & 140.419375 & 2.91699345717838 & 48.1383921703507 \tabularnewline
Winsorized Mean ( 25 / 32 ) & 141.351666666667 & 2.80052697761317 & 50.4732387142142 \tabularnewline
Winsorized Mean ( 26 / 32 ) & 141.844583333333 & 2.71542424602341 & 52.2366195783428 \tabularnewline
Winsorized Mean ( 27 / 32 ) & 143.076458333333 & 2.56565193819508 & 55.7661217421357 \tabularnewline
Winsorized Mean ( 28 / 32 ) & 142.545625 & 2.42998910190187 & 58.6610141125466 \tabularnewline
Winsorized Mean ( 29 / 32 ) & 142.678541666667 & 2.31524248464411 & 61.6257444362674 \tabularnewline
Winsorized Mean ( 30 / 32 ) & 142.647291666667 & 2.27504735577841 & 62.7008010643627 \tabularnewline
Winsorized Mean ( 31 / 32 ) & 140.94875 & 2.04499075755000 & 68.9239056360644 \tabularnewline
Winsorized Mean ( 32 / 32 ) & 138.865416666667 & 1.75527295146294 & 79.1132892185962 \tabularnewline
Trimmed Mean ( 1 / 32 ) & 141.497021276596 & 4.45887929548646 & 31.7337635535071 \tabularnewline
Trimmed Mean ( 2 / 32 ) & 141.161413043478 & 4.36127165609187 & 32.3670305761171 \tabularnewline
Trimmed Mean ( 3 / 32 ) & 140.812111111111 & 4.25104059668545 & 33.1241511127659 \tabularnewline
Trimmed Mean ( 4 / 32 ) & 140.5275 & 4.14909813899749 & 33.8694085539164 \tabularnewline
Trimmed Mean ( 5 / 32 ) & 140.277674418605 & 4.04503234097318 & 34.6789994724383 \tabularnewline
Trimmed Mean ( 6 / 32 ) & 140.051190476190 & 3.94587886210403 & 35.4930283900080 \tabularnewline
Trimmed Mean ( 7 / 32 ) & 139.900487804878 & 3.87264150682225 & 36.1253391408479 \tabularnewline
Trimmed Mean ( 8 / 32 ) & 139.7495 & 3.79054345866464 & 36.8679324017648 \tabularnewline
Trimmed Mean ( 9 / 32 ) & 139.646025641026 & 3.7172918483719 & 37.5666026067305 \tabularnewline
Trimmed Mean ( 10 / 32 ) & 139.530131578947 & 3.63870791359665 & 38.3460653869933 \tabularnewline
Trimmed Mean ( 11 / 32 ) & 139.542972972973 & 3.57836227780985 & 38.9963234964518 \tabularnewline
Trimmed Mean ( 12 / 32 ) & 139.554861111111 & 3.51215261088832 & 39.7348511219203 \tabularnewline
Trimmed Mean ( 13 / 32 ) & 139.578 & 3.43776182424677 & 40.6014166006345 \tabularnewline
Trimmed Mean ( 14 / 32 ) & 139.581764705882 & 3.38137418712853 & 41.2795972824337 \tabularnewline
Trimmed Mean ( 15 / 32 ) & 139.530303030303 & 3.32733325932854 & 41.9345740734309 \tabularnewline
Trimmed Mean ( 16 / 32 ) & 139.5303125 & 3.29288758226003 & 42.3732389929435 \tabularnewline
Trimmed Mean ( 17 / 32 ) & 139.519838709677 & 3.25415253156249 & 42.8744004334323 \tabularnewline
Trimmed Mean ( 18 / 32 ) & 139.5415 & 3.21510029036710 & 43.4019120392873 \tabularnewline
Trimmed Mean ( 19 / 32 ) & 139.566379310345 & 3.16785682443979 & 44.0570351013341 \tabularnewline
Trimmed Mean ( 20 / 32 ) & 139.585714285714 & 3.11453410930051 & 44.81752627749 \tabularnewline
Trimmed Mean ( 21 / 32 ) & 139.621111111111 & 3.05376257667156 & 45.721010591233 \tabularnewline
Trimmed Mean ( 22 / 32 ) & 139.676923076923 & 2.98167082360486 & 46.8451855822411 \tabularnewline
Trimmed Mean ( 23 / 32 ) & 139.7376 & 2.89313091558157 & 48.2997845854169 \tabularnewline
Trimmed Mean ( 24 / 32 ) & 139.77875 & 2.79685216966394 & 49.977167730247 \tabularnewline
Trimmed Mean ( 25 / 32 ) & 139.723043478261 & 2.70510790536499 & 51.6515600731309 \tabularnewline
Trimmed Mean ( 26 / 32 ) & 139.580909090909 & 2.60925792829740 & 53.4944849940491 \tabularnewline
Trimmed Mean ( 27 / 32 ) & 139.381904761905 & 2.50082497974917 & 55.7343700141242 \tabularnewline
Trimmed Mean ( 28 / 32 ) & 139.0535 & 2.38749228888539 & 58.2424917757192 \tabularnewline
Trimmed Mean ( 29 / 32 ) & 138.738421052632 & 2.26935921694241 & 61.1355046908612 \tabularnewline
Trimmed Mean ( 30 / 32 ) & 138.376111111111 & 2.13599522463119 & 64.7829683865531 \tabularnewline
Trimmed Mean ( 31 / 32 ) & 137.974117647059 & 1.95834878596613 & 70.4543126514569 \tabularnewline
Trimmed Mean ( 32 / 32 ) & 137.68625 & 1.79084132496703 & 76.8835563935485 \tabularnewline
Median & 137.345 &  &  \tabularnewline
Midrange & 163.73 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 138.986326530612 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 139.77875 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 138.986326530612 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 139.77875 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 139.77875 &  &  \tabularnewline
Midmean - Closest Observation & 138.986326530612 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 139.77875 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 139.7376 &  &  \tabularnewline
Number of observations & 96 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42638&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]141.960208333333[/C][C]4.57988290372405[/C][C]30.9964711582257[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]134.897237679770[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]127.909937951084[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]148.813160890315[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 32 )[/C][C]141.818645833333[/C][C]4.54447395682863[/C][C]31.2068343180256[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 32 )[/C][C]141.816354166667[/C][C]4.54217028059167[/C][C]31.2221571200527[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 32 )[/C][C]141.594791666667[/C][C]4.4859828520254[/C][C]31.5638281146655[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 32 )[/C][C]141.422708333333[/C][C]4.44827882513249[/C][C]31.7926806958017[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 32 )[/C][C]141.268541666667[/C][C]4.3775404678642[/C][C]32.2712131855154[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 32 )[/C][C]140.823541666667[/C][C]4.21637115317159[/C][C]33.3992280448883[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 32 )[/C][C]140.78125[/C][C]4.20372160263974[/C][C]33.489670179775[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 32 )[/C][C]140.422083333333[/C][C]4.09956319056502[/C][C]34.2529378877508[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 32 )[/C][C]140.471770833333[/C][C]4.06401562279747[/C][C]34.5647713668579[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 32 )[/C][C]139.431145833333[/C][C]3.89627791309757[/C][C]35.7857290838077[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 32 )[/C][C]139.444895833333[/C][C]3.86753604864972[/C][C]36.0552284656837[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 32 )[/C][C]139.352395833333[/C][C]3.84401856997767[/C][C]36.251748865548[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 32 )[/C][C]139.543333333333[/C][C]3.65676962244512[/C][C]38.1602747071681[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 32 )[/C][C]140.077083333333[/C][C]3.57285397776317[/C][C]39.2059357043834[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 32 )[/C][C]139.530208333333[/C][C]3.37905529586682[/C][C]41.2926679548581[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 32 )[/C][C]139.638541666667[/C][C]3.35142765788468[/C][C]41.6653903712194[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 32 )[/C][C]139.2896875[/C][C]3.29161949706307[/C][C]42.3164608255239[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 32 )[/C][C]139.2709375[/C][C]3.27919676219986[/C][C]42.4710523947241[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 32 )[/C][C]139.352083333333[/C][C]3.24218796235817[/C][C]42.9808774047687[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 32 )[/C][C]139.1875[/C][C]3.20379829402101[/C][C]43.4445265358167[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 32 )[/C][C]138.98625[/C][C]3.17619572473081[/C][C]43.758717045619[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 32 )[/C][C]138.981666666667[/C][C]3.16005546485116[/C][C]43.9807681265534[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 32 )[/C][C]139.264375[/C][C]3.07538711303325[/C][C]45.2835268801799[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 32 )[/C][C]140.419375[/C][C]2.91699345717838[/C][C]48.1383921703507[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 32 )[/C][C]141.351666666667[/C][C]2.80052697761317[/C][C]50.4732387142142[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 32 )[/C][C]141.844583333333[/C][C]2.71542424602341[/C][C]52.2366195783428[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 32 )[/C][C]143.076458333333[/C][C]2.56565193819508[/C][C]55.7661217421357[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 32 )[/C][C]142.545625[/C][C]2.42998910190187[/C][C]58.6610141125466[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 32 )[/C][C]142.678541666667[/C][C]2.31524248464411[/C][C]61.6257444362674[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 32 )[/C][C]142.647291666667[/C][C]2.27504735577841[/C][C]62.7008010643627[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 32 )[/C][C]140.94875[/C][C]2.04499075755000[/C][C]68.9239056360644[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 32 )[/C][C]138.865416666667[/C][C]1.75527295146294[/C][C]79.1132892185962[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 32 )[/C][C]141.497021276596[/C][C]4.45887929548646[/C][C]31.7337635535071[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 32 )[/C][C]141.161413043478[/C][C]4.36127165609187[/C][C]32.3670305761171[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 32 )[/C][C]140.812111111111[/C][C]4.25104059668545[/C][C]33.1241511127659[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 32 )[/C][C]140.5275[/C][C]4.14909813899749[/C][C]33.8694085539164[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 32 )[/C][C]140.277674418605[/C][C]4.04503234097318[/C][C]34.6789994724383[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 32 )[/C][C]140.051190476190[/C][C]3.94587886210403[/C][C]35.4930283900080[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 32 )[/C][C]139.900487804878[/C][C]3.87264150682225[/C][C]36.1253391408479[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 32 )[/C][C]139.7495[/C][C]3.79054345866464[/C][C]36.8679324017648[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 32 )[/C][C]139.646025641026[/C][C]3.7172918483719[/C][C]37.5666026067305[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 32 )[/C][C]139.530131578947[/C][C]3.63870791359665[/C][C]38.3460653869933[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 32 )[/C][C]139.542972972973[/C][C]3.57836227780985[/C][C]38.9963234964518[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 32 )[/C][C]139.554861111111[/C][C]3.51215261088832[/C][C]39.7348511219203[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 32 )[/C][C]139.578[/C][C]3.43776182424677[/C][C]40.6014166006345[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 32 )[/C][C]139.581764705882[/C][C]3.38137418712853[/C][C]41.2795972824337[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 32 )[/C][C]139.530303030303[/C][C]3.32733325932854[/C][C]41.9345740734309[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 32 )[/C][C]139.5303125[/C][C]3.29288758226003[/C][C]42.3732389929435[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 32 )[/C][C]139.519838709677[/C][C]3.25415253156249[/C][C]42.8744004334323[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 32 )[/C][C]139.5415[/C][C]3.21510029036710[/C][C]43.4019120392873[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 32 )[/C][C]139.566379310345[/C][C]3.16785682443979[/C][C]44.0570351013341[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 32 )[/C][C]139.585714285714[/C][C]3.11453410930051[/C][C]44.81752627749[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 32 )[/C][C]139.621111111111[/C][C]3.05376257667156[/C][C]45.721010591233[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 32 )[/C][C]139.676923076923[/C][C]2.98167082360486[/C][C]46.8451855822411[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 32 )[/C][C]139.7376[/C][C]2.89313091558157[/C][C]48.2997845854169[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 32 )[/C][C]139.77875[/C][C]2.79685216966394[/C][C]49.977167730247[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 32 )[/C][C]139.723043478261[/C][C]2.70510790536499[/C][C]51.6515600731309[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 32 )[/C][C]139.580909090909[/C][C]2.60925792829740[/C][C]53.4944849940491[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 32 )[/C][C]139.381904761905[/C][C]2.50082497974917[/C][C]55.7343700141242[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 32 )[/C][C]139.0535[/C][C]2.38749228888539[/C][C]58.2424917757192[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 32 )[/C][C]138.738421052632[/C][C]2.26935921694241[/C][C]61.1355046908612[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 32 )[/C][C]138.376111111111[/C][C]2.13599522463119[/C][C]64.7829683865531[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 32 )[/C][C]137.974117647059[/C][C]1.95834878596613[/C][C]70.4543126514569[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 32 )[/C][C]137.68625[/C][C]1.79084132496703[/C][C]76.8835563935485[/C][/ROW]
[ROW][C]Median[/C][C]137.345[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]163.73[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]138.986326530612[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]139.77875[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]138.986326530612[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]139.77875[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]139.77875[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]138.986326530612[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]139.77875[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]139.7376[/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=42638&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42638&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 Mean141.9602083333334.5798829037240530.9964711582257
Geometric Mean134.897237679770
Harmonic Mean127.909937951084
Quadratic Mean148.813160890315
Winsorized Mean ( 1 / 32 )141.8186458333334.5444739568286331.2068343180256
Winsorized Mean ( 2 / 32 )141.8163541666674.5421702805916731.2221571200527
Winsorized Mean ( 3 / 32 )141.5947916666674.485982852025431.5638281146655
Winsorized Mean ( 4 / 32 )141.4227083333334.4482788251324931.7926806958017
Winsorized Mean ( 5 / 32 )141.2685416666674.377540467864232.2712131855154
Winsorized Mean ( 6 / 32 )140.8235416666674.2163711531715933.3992280448883
Winsorized Mean ( 7 / 32 )140.781254.2037216026397433.489670179775
Winsorized Mean ( 8 / 32 )140.4220833333334.0995631905650234.2529378877508
Winsorized Mean ( 9 / 32 )140.4717708333334.0640156227974734.5647713668579
Winsorized Mean ( 10 / 32 )139.4311458333333.8962779130975735.7857290838077
Winsorized Mean ( 11 / 32 )139.4448958333333.8675360486497236.0552284656837
Winsorized Mean ( 12 / 32 )139.3523958333333.8440185699776736.251748865548
Winsorized Mean ( 13 / 32 )139.5433333333333.6567696224451238.1602747071681
Winsorized Mean ( 14 / 32 )140.0770833333333.5728539777631739.2059357043834
Winsorized Mean ( 15 / 32 )139.5302083333333.3790552958668241.2926679548581
Winsorized Mean ( 16 / 32 )139.6385416666673.3514276578846841.6653903712194
Winsorized Mean ( 17 / 32 )139.28968753.2916194970630742.3164608255239
Winsorized Mean ( 18 / 32 )139.27093753.2791967621998642.4710523947241
Winsorized Mean ( 19 / 32 )139.3520833333333.2421879623581742.9808774047687
Winsorized Mean ( 20 / 32 )139.18753.2037982940210143.4445265358167
Winsorized Mean ( 21 / 32 )138.986253.1761957247308143.758717045619
Winsorized Mean ( 22 / 32 )138.9816666666673.1600554648511643.9807681265534
Winsorized Mean ( 23 / 32 )139.2643753.0753871130332545.2835268801799
Winsorized Mean ( 24 / 32 )140.4193752.9169934571783848.1383921703507
Winsorized Mean ( 25 / 32 )141.3516666666672.8005269776131750.4732387142142
Winsorized Mean ( 26 / 32 )141.8445833333332.7154242460234152.2366195783428
Winsorized Mean ( 27 / 32 )143.0764583333332.5656519381950855.7661217421357
Winsorized Mean ( 28 / 32 )142.5456252.4299891019018758.6610141125466
Winsorized Mean ( 29 / 32 )142.6785416666672.3152424846441161.6257444362674
Winsorized Mean ( 30 / 32 )142.6472916666672.2750473557784162.7008010643627
Winsorized Mean ( 31 / 32 )140.948752.0449907575500068.9239056360644
Winsorized Mean ( 32 / 32 )138.8654166666671.7552729514629479.1132892185962
Trimmed Mean ( 1 / 32 )141.4970212765964.4588792954864631.7337635535071
Trimmed Mean ( 2 / 32 )141.1614130434784.3612716560918732.3670305761171
Trimmed Mean ( 3 / 32 )140.8121111111114.2510405966854533.1241511127659
Trimmed Mean ( 4 / 32 )140.52754.1490981389974933.8694085539164
Trimmed Mean ( 5 / 32 )140.2776744186054.0450323409731834.6789994724383
Trimmed Mean ( 6 / 32 )140.0511904761903.9458788621040335.4930283900080
Trimmed Mean ( 7 / 32 )139.9004878048783.8726415068222536.1253391408479
Trimmed Mean ( 8 / 32 )139.74953.7905434586646436.8679324017648
Trimmed Mean ( 9 / 32 )139.6460256410263.717291848371937.5666026067305
Trimmed Mean ( 10 / 32 )139.5301315789473.6387079135966538.3460653869933
Trimmed Mean ( 11 / 32 )139.5429729729733.5783622778098538.9963234964518
Trimmed Mean ( 12 / 32 )139.5548611111113.5121526108883239.7348511219203
Trimmed Mean ( 13 / 32 )139.5783.4377618242467740.6014166006345
Trimmed Mean ( 14 / 32 )139.5817647058823.3813741871285341.2795972824337
Trimmed Mean ( 15 / 32 )139.5303030303033.3273332593285441.9345740734309
Trimmed Mean ( 16 / 32 )139.53031253.2928875822600342.3732389929435
Trimmed Mean ( 17 / 32 )139.5198387096773.2541525315624942.8744004334323
Trimmed Mean ( 18 / 32 )139.54153.2151002903671043.4019120392873
Trimmed Mean ( 19 / 32 )139.5663793103453.1678568244397944.0570351013341
Trimmed Mean ( 20 / 32 )139.5857142857143.1145341093005144.81752627749
Trimmed Mean ( 21 / 32 )139.6211111111113.0537625766715645.721010591233
Trimmed Mean ( 22 / 32 )139.6769230769232.9816708236048646.8451855822411
Trimmed Mean ( 23 / 32 )139.73762.8931309155815748.2997845854169
Trimmed Mean ( 24 / 32 )139.778752.7968521696639449.977167730247
Trimmed Mean ( 25 / 32 )139.7230434782612.7051079053649951.6515600731309
Trimmed Mean ( 26 / 32 )139.5809090909092.6092579282974053.4944849940491
Trimmed Mean ( 27 / 32 )139.3819047619052.5008249797491755.7343700141242
Trimmed Mean ( 28 / 32 )139.05352.3874922888853958.2424917757192
Trimmed Mean ( 29 / 32 )138.7384210526322.2693592169424161.1355046908612
Trimmed Mean ( 30 / 32 )138.3761111111112.1359952246311964.7829683865531
Trimmed Mean ( 31 / 32 )137.9741176470591.9583487859661370.4543126514569
Trimmed Mean ( 32 / 32 )137.686251.7908413249670376.8835563935485
Median137.345
Midrange163.73
Midmean - Weighted Average at Xnp138.986326530612
Midmean - Weighted Average at X(n+1)p139.77875
Midmean - Empirical Distribution Function138.986326530612
Midmean - Empirical Distribution Function - Averaging139.77875
Midmean - Empirical Distribution Function - Interpolation139.77875
Midmean - Closest Observation138.986326530612
Midmean - True Basic - Statistics Graphics Toolkit139.77875
Midmean - MS Excel (old versions)139.7376
Number of observations96



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')