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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 computationSun, 03 Jan 2010 04:17:49 -0700
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/Jan/03/t126251756469wcr06wcbqbtvi.htm/, Retrieved Fri, 03 May 2024 10:27:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71521, Retrieved Fri, 03 May 2024 10:27:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W52
Estimated Impact166
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [centrummaten eige...] [2010-01-03 11:17:49] [4c49eeca41cf2bf23e101541a1a2b4ce] [Current]
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Dataseries X:
203,7
173,8
167,1
151,8
144,5
128,4
121,6
124,9
122,7
148,1
176,9
234,6
254,6
279,7
275,8
283
295,4
297,6
276,8
250,1
239,1
258,9
276,1
264,1
265,5
287,7
285,1
304,5
301,5
274,2
258,6
253,9
269,6
266,9
269,6
257,9
258,2
254,7
237,2
267,2
228,8
196,3
194,8
186,6
176,7
162,1
154,9
150,1
150,5
143,6
143,8
141,5
147,9
151,4
144,6
140,4
139,5
138,1
136,7
130
128,5
130,4
125,7
121,7
129,9
129,6
128,2
119,7
112,2
105,6
101,2
94,9
95,1
93,1
91,4
89,8
85,9
89,7
91,6
88,6
86,9
86,4
82,2
81,5
81,2




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71521&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71521&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71521&T=0

As an alternative you can also use a QR Code:  

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

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







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean178.7164705882357.7946021772124522.9282350176528
Geometric Mean164.424800162315
Harmonic Mean151.091330186765
Quadratic Mean192.465752797738
Winsorized Mean ( 1 / 28 )178.6847058823537.7873736967033622.9454387116411
Winsorized Mean ( 2 / 28 )178.6094117647067.7679515816328422.9931159956022
Winsorized Mean ( 3 / 28 )178.6623529411767.7349260608349923.0981332641064
Winsorized Mean ( 4 / 28 )178.3235294117657.6682432273267223.2548087124163
Winsorized Mean ( 5 / 28 )178.27.6383257071064423.3297199979583
Winsorized Mean ( 6 / 28 )178.1717647058827.5968410086209723.4534018157931
Winsorized Mean ( 7 / 28 )177.9905882352947.5400245977222223.606101800923
Winsorized Mean ( 8 / 28 )177.7270588235297.4953201810800323.7117367276924
Winsorized Mean ( 9 / 28 )177.8223529411767.460165057100923.8362491419567
Winsorized Mean ( 10 / 28 )177.8105882352947.4513918808681223.8627347854074
Winsorized Mean ( 11 / 28 )177.7976470588247.392503769286124.0510728986742
Winsorized Mean ( 12 / 28 )177.4023529411767.2584580193898924.440776879507
Winsorized Mean ( 13 / 28 )177.4329411764717.2543220746368724.4589279812686
Winsorized Mean ( 14 / 28 )178.0423529411767.0617302885330325.2122844779678
Winsorized Mean ( 15 / 28 )178.7658823529416.9548303656092925.7038450911635
Winsorized Mean ( 16 / 28 )179.7447058823536.7633595371946926.5762458573816
Winsorized Mean ( 17 / 28 )180.9647058823536.5482742409496327.6354806203274
Winsorized Mean ( 18 / 28 )180.2658823529416.3391453251693728.4369379634193
Winsorized Mean ( 19 / 28 )180.2211764705886.3267869220191128.4854190115625
Winsorized Mean ( 20 / 28 )180.3623529411766.2871103248322528.6876392527737
Winsorized Mean ( 21 / 28 )180.8317647058826.2173992806049529.0847919756390
Winsorized Mean ( 22 / 28 )180.2105882352946.0736698174911629.670791078619
Winsorized Mean ( 23 / 28 )180.865.9982203709973530.1522766443353
Winsorized Mean ( 24 / 28 )180.7188235294125.9634198857889530.3045613071908
Winsorized Mean ( 25 / 28 )179.6305882352945.7978304218839230.9823805051762
Winsorized Mean ( 26 / 28 )176.6023529411765.2816308640372833.437087423823
Winsorized Mean ( 27 / 28 )176.0941176470595.186696609299833.9511120298265
Winsorized Mean ( 28 / 28 )175.2705882352945.0633966366543334.6152199427745
Trimmed Mean ( 1 / 28 )178.3759036144587.746877048045623.0255240283514
Trimmed Mean ( 2 / 28 )178.0518518518527.6970312761734523.1325358392424
Trimmed Mean ( 3 / 28 )177.7518987341777.6478880120157823.2419588852383
Trimmed Mean ( 4 / 28 )177.4168831168837.6013326264909423.3402341187621
Trimmed Mean ( 5 / 28 )177.167.5656725941453323.4162921796397
Trimmed Mean ( 6 / 28 )176.9178082191787.5281876045352523.5007172393786
Trimmed Mean ( 7 / 28 )176.6676056338037.4900144860070323.5870846396701
Trimmed Mean ( 8 / 28 )176.4347826086967.4531185580788823.6726118380939
Trimmed Mean ( 9 / 28 )176.2298507462697.4138230127288423.7704421111346
Trimmed Mean ( 10 / 28 )175.9984615384627.3687325038311523.8844959356248
Trimmed Mean ( 11 / 28 )175.7539682539687.3112601838302924.0388064211788
Trimmed Mean ( 12 / 28 )175.4950819672137.2478749198446624.2133154763348
Trimmed Mean ( 13 / 28 )175.2661016949157.1901531837901524.3758508636567
Trimmed Mean ( 14 / 28 )175.0175438596497.1148513541762724.5989037784911
Trimmed Mean ( 15 / 28 )174.6836363636367.0503197451843124.7766970402943
Trimmed Mean ( 16 / 28 )174.2471698113216.9818163180151124.9572835884715
Trimmed Mean ( 17 / 28 )173.6745098039226.921114521569825.0934310164441
Trimmed Mean ( 18 / 28 )172.9306122448986.8707864045552125.1689693235476
Trimmed Mean ( 19 / 28 )172.1936170212776.8342822260554625.1955671898937
Trimmed Mean ( 20 / 28 )171.3955555555566.7770072918578525.2907438599744
Trimmed Mean ( 21 / 28 )170.5093023255816.6969297720356925.4608168414093
Trimmed Mean ( 22 / 28 )169.4902439024396.5906963295443125.7165913019934
Trimmed Mean ( 23 / 28 )168.4282051282056.4688008102985526.0370059408943
Trimmed Mean ( 24 / 28 )167.1864864864866.302790461377626.5257884600442
Trimmed Mean ( 25 / 28 )165.8171428571436.068562724518627.3239563277805
Trimmed Mean ( 26 / 28 )164.3939393939395.7785571154922828.4489598542169
Trimmed Mean ( 27 / 28 )163.1064516129035.5279017300678929.506033134728
Trimmed Mean ( 28 / 28 )161.6965517241385.1776910681316631.2294707421556
Median150.5
Midrange192.85
Midmean - Weighted Average at Xnp168.428571428571
Midmean - Weighted Average at X(n+1)p170.509302325581
Midmean - Empirical Distribution Function170.509302325581
Midmean - Empirical Distribution Function - Averaging170.509302325581
Midmean - Empirical Distribution Function - Interpolation170.509302325581
Midmean - Closest Observation169.422727272727
Midmean - True Basic - Statistics Graphics Toolkit170.509302325581
Midmean - MS Excel (old versions)170.509302325581
Number of observations85

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 178.716470588235 & 7.79460217721245 & 22.9282350176528 \tabularnewline
Geometric Mean & 164.424800162315 &  &  \tabularnewline
Harmonic Mean & 151.091330186765 &  &  \tabularnewline
Quadratic Mean & 192.465752797738 &  &  \tabularnewline
Winsorized Mean ( 1 / 28 ) & 178.684705882353 & 7.78737369670336 & 22.9454387116411 \tabularnewline
Winsorized Mean ( 2 / 28 ) & 178.609411764706 & 7.76795158163284 & 22.9931159956022 \tabularnewline
Winsorized Mean ( 3 / 28 ) & 178.662352941176 & 7.73492606083499 & 23.0981332641064 \tabularnewline
Winsorized Mean ( 4 / 28 ) & 178.323529411765 & 7.66824322732672 & 23.2548087124163 \tabularnewline
Winsorized Mean ( 5 / 28 ) & 178.2 & 7.63832570710644 & 23.3297199979583 \tabularnewline
Winsorized Mean ( 6 / 28 ) & 178.171764705882 & 7.59684100862097 & 23.4534018157931 \tabularnewline
Winsorized Mean ( 7 / 28 ) & 177.990588235294 & 7.54002459772222 & 23.606101800923 \tabularnewline
Winsorized Mean ( 8 / 28 ) & 177.727058823529 & 7.49532018108003 & 23.7117367276924 \tabularnewline
Winsorized Mean ( 9 / 28 ) & 177.822352941176 & 7.4601650571009 & 23.8362491419567 \tabularnewline
Winsorized Mean ( 10 / 28 ) & 177.810588235294 & 7.45139188086812 & 23.8627347854074 \tabularnewline
Winsorized Mean ( 11 / 28 ) & 177.797647058824 & 7.3925037692861 & 24.0510728986742 \tabularnewline
Winsorized Mean ( 12 / 28 ) & 177.402352941176 & 7.25845801938989 & 24.440776879507 \tabularnewline
Winsorized Mean ( 13 / 28 ) & 177.432941176471 & 7.25432207463687 & 24.4589279812686 \tabularnewline
Winsorized Mean ( 14 / 28 ) & 178.042352941176 & 7.06173028853303 & 25.2122844779678 \tabularnewline
Winsorized Mean ( 15 / 28 ) & 178.765882352941 & 6.95483036560929 & 25.7038450911635 \tabularnewline
Winsorized Mean ( 16 / 28 ) & 179.744705882353 & 6.76335953719469 & 26.5762458573816 \tabularnewline
Winsorized Mean ( 17 / 28 ) & 180.964705882353 & 6.54827424094963 & 27.6354806203274 \tabularnewline
Winsorized Mean ( 18 / 28 ) & 180.265882352941 & 6.33914532516937 & 28.4369379634193 \tabularnewline
Winsorized Mean ( 19 / 28 ) & 180.221176470588 & 6.32678692201911 & 28.4854190115625 \tabularnewline
Winsorized Mean ( 20 / 28 ) & 180.362352941176 & 6.28711032483225 & 28.6876392527737 \tabularnewline
Winsorized Mean ( 21 / 28 ) & 180.831764705882 & 6.21739928060495 & 29.0847919756390 \tabularnewline
Winsorized Mean ( 22 / 28 ) & 180.210588235294 & 6.07366981749116 & 29.670791078619 \tabularnewline
Winsorized Mean ( 23 / 28 ) & 180.86 & 5.99822037099735 & 30.1522766443353 \tabularnewline
Winsorized Mean ( 24 / 28 ) & 180.718823529412 & 5.96341988578895 & 30.3045613071908 \tabularnewline
Winsorized Mean ( 25 / 28 ) & 179.630588235294 & 5.79783042188392 & 30.9823805051762 \tabularnewline
Winsorized Mean ( 26 / 28 ) & 176.602352941176 & 5.28163086403728 & 33.437087423823 \tabularnewline
Winsorized Mean ( 27 / 28 ) & 176.094117647059 & 5.1866966092998 & 33.9511120298265 \tabularnewline
Winsorized Mean ( 28 / 28 ) & 175.270588235294 & 5.06339663665433 & 34.6152199427745 \tabularnewline
Trimmed Mean ( 1 / 28 ) & 178.375903614458 & 7.7468770480456 & 23.0255240283514 \tabularnewline
Trimmed Mean ( 2 / 28 ) & 178.051851851852 & 7.69703127617345 & 23.1325358392424 \tabularnewline
Trimmed Mean ( 3 / 28 ) & 177.751898734177 & 7.64788801201578 & 23.2419588852383 \tabularnewline
Trimmed Mean ( 4 / 28 ) & 177.416883116883 & 7.60133262649094 & 23.3402341187621 \tabularnewline
Trimmed Mean ( 5 / 28 ) & 177.16 & 7.56567259414533 & 23.4162921796397 \tabularnewline
Trimmed Mean ( 6 / 28 ) & 176.917808219178 & 7.52818760453525 & 23.5007172393786 \tabularnewline
Trimmed Mean ( 7 / 28 ) & 176.667605633803 & 7.49001448600703 & 23.5870846396701 \tabularnewline
Trimmed Mean ( 8 / 28 ) & 176.434782608696 & 7.45311855807888 & 23.6726118380939 \tabularnewline
Trimmed Mean ( 9 / 28 ) & 176.229850746269 & 7.41382301272884 & 23.7704421111346 \tabularnewline
Trimmed Mean ( 10 / 28 ) & 175.998461538462 & 7.36873250383115 & 23.8844959356248 \tabularnewline
Trimmed Mean ( 11 / 28 ) & 175.753968253968 & 7.31126018383029 & 24.0388064211788 \tabularnewline
Trimmed Mean ( 12 / 28 ) & 175.495081967213 & 7.24787491984466 & 24.2133154763348 \tabularnewline
Trimmed Mean ( 13 / 28 ) & 175.266101694915 & 7.19015318379015 & 24.3758508636567 \tabularnewline
Trimmed Mean ( 14 / 28 ) & 175.017543859649 & 7.11485135417627 & 24.5989037784911 \tabularnewline
Trimmed Mean ( 15 / 28 ) & 174.683636363636 & 7.05031974518431 & 24.7766970402943 \tabularnewline
Trimmed Mean ( 16 / 28 ) & 174.247169811321 & 6.98181631801511 & 24.9572835884715 \tabularnewline
Trimmed Mean ( 17 / 28 ) & 173.674509803922 & 6.9211145215698 & 25.0934310164441 \tabularnewline
Trimmed Mean ( 18 / 28 ) & 172.930612244898 & 6.87078640455521 & 25.1689693235476 \tabularnewline
Trimmed Mean ( 19 / 28 ) & 172.193617021277 & 6.83428222605546 & 25.1955671898937 \tabularnewline
Trimmed Mean ( 20 / 28 ) & 171.395555555556 & 6.77700729185785 & 25.2907438599744 \tabularnewline
Trimmed Mean ( 21 / 28 ) & 170.509302325581 & 6.69692977203569 & 25.4608168414093 \tabularnewline
Trimmed Mean ( 22 / 28 ) & 169.490243902439 & 6.59069632954431 & 25.7165913019934 \tabularnewline
Trimmed Mean ( 23 / 28 ) & 168.428205128205 & 6.46880081029855 & 26.0370059408943 \tabularnewline
Trimmed Mean ( 24 / 28 ) & 167.186486486486 & 6.3027904613776 & 26.5257884600442 \tabularnewline
Trimmed Mean ( 25 / 28 ) & 165.817142857143 & 6.0685627245186 & 27.3239563277805 \tabularnewline
Trimmed Mean ( 26 / 28 ) & 164.393939393939 & 5.77855711549228 & 28.4489598542169 \tabularnewline
Trimmed Mean ( 27 / 28 ) & 163.106451612903 & 5.52790173006789 & 29.506033134728 \tabularnewline
Trimmed Mean ( 28 / 28 ) & 161.696551724138 & 5.17769106813166 & 31.2294707421556 \tabularnewline
Median & 150.5 &  &  \tabularnewline
Midrange & 192.85 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 168.428571428571 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 170.509302325581 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 170.509302325581 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 170.509302325581 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 170.509302325581 &  &  \tabularnewline
Midmean - Closest Observation & 169.422727272727 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 170.509302325581 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 170.509302325581 &  &  \tabularnewline
Number of observations & 85 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71521&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]178.716470588235[/C][C]7.79460217721245[/C][C]22.9282350176528[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]164.424800162315[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]151.091330186765[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]192.465752797738[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 28 )[/C][C]178.684705882353[/C][C]7.78737369670336[/C][C]22.9454387116411[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 28 )[/C][C]178.609411764706[/C][C]7.76795158163284[/C][C]22.9931159956022[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 28 )[/C][C]178.662352941176[/C][C]7.73492606083499[/C][C]23.0981332641064[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 28 )[/C][C]178.323529411765[/C][C]7.66824322732672[/C][C]23.2548087124163[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 28 )[/C][C]178.2[/C][C]7.63832570710644[/C][C]23.3297199979583[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 28 )[/C][C]178.171764705882[/C][C]7.59684100862097[/C][C]23.4534018157931[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 28 )[/C][C]177.990588235294[/C][C]7.54002459772222[/C][C]23.606101800923[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 28 )[/C][C]177.727058823529[/C][C]7.49532018108003[/C][C]23.7117367276924[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 28 )[/C][C]177.822352941176[/C][C]7.4601650571009[/C][C]23.8362491419567[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 28 )[/C][C]177.810588235294[/C][C]7.45139188086812[/C][C]23.8627347854074[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 28 )[/C][C]177.797647058824[/C][C]7.3925037692861[/C][C]24.0510728986742[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 28 )[/C][C]177.402352941176[/C][C]7.25845801938989[/C][C]24.440776879507[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 28 )[/C][C]177.432941176471[/C][C]7.25432207463687[/C][C]24.4589279812686[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 28 )[/C][C]178.042352941176[/C][C]7.06173028853303[/C][C]25.2122844779678[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 28 )[/C][C]178.765882352941[/C][C]6.95483036560929[/C][C]25.7038450911635[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 28 )[/C][C]179.744705882353[/C][C]6.76335953719469[/C][C]26.5762458573816[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 28 )[/C][C]180.964705882353[/C][C]6.54827424094963[/C][C]27.6354806203274[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 28 )[/C][C]180.265882352941[/C][C]6.33914532516937[/C][C]28.4369379634193[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 28 )[/C][C]180.221176470588[/C][C]6.32678692201911[/C][C]28.4854190115625[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 28 )[/C][C]180.362352941176[/C][C]6.28711032483225[/C][C]28.6876392527737[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 28 )[/C][C]180.831764705882[/C][C]6.21739928060495[/C][C]29.0847919756390[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 28 )[/C][C]180.210588235294[/C][C]6.07366981749116[/C][C]29.670791078619[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 28 )[/C][C]180.86[/C][C]5.99822037099735[/C][C]30.1522766443353[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 28 )[/C][C]180.718823529412[/C][C]5.96341988578895[/C][C]30.3045613071908[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 28 )[/C][C]179.630588235294[/C][C]5.79783042188392[/C][C]30.9823805051762[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 28 )[/C][C]176.602352941176[/C][C]5.28163086403728[/C][C]33.437087423823[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 28 )[/C][C]176.094117647059[/C][C]5.1866966092998[/C][C]33.9511120298265[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 28 )[/C][C]175.270588235294[/C][C]5.06339663665433[/C][C]34.6152199427745[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 28 )[/C][C]178.375903614458[/C][C]7.7468770480456[/C][C]23.0255240283514[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 28 )[/C][C]178.051851851852[/C][C]7.69703127617345[/C][C]23.1325358392424[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 28 )[/C][C]177.751898734177[/C][C]7.64788801201578[/C][C]23.2419588852383[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 28 )[/C][C]177.416883116883[/C][C]7.60133262649094[/C][C]23.3402341187621[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 28 )[/C][C]177.16[/C][C]7.56567259414533[/C][C]23.4162921796397[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 28 )[/C][C]176.917808219178[/C][C]7.52818760453525[/C][C]23.5007172393786[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 28 )[/C][C]176.667605633803[/C][C]7.49001448600703[/C][C]23.5870846396701[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 28 )[/C][C]176.434782608696[/C][C]7.45311855807888[/C][C]23.6726118380939[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 28 )[/C][C]176.229850746269[/C][C]7.41382301272884[/C][C]23.7704421111346[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 28 )[/C][C]175.998461538462[/C][C]7.36873250383115[/C][C]23.8844959356248[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 28 )[/C][C]175.753968253968[/C][C]7.31126018383029[/C][C]24.0388064211788[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 28 )[/C][C]175.495081967213[/C][C]7.24787491984466[/C][C]24.2133154763348[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 28 )[/C][C]175.266101694915[/C][C]7.19015318379015[/C][C]24.3758508636567[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 28 )[/C][C]175.017543859649[/C][C]7.11485135417627[/C][C]24.5989037784911[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 28 )[/C][C]174.683636363636[/C][C]7.05031974518431[/C][C]24.7766970402943[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 28 )[/C][C]174.247169811321[/C][C]6.98181631801511[/C][C]24.9572835884715[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 28 )[/C][C]173.674509803922[/C][C]6.9211145215698[/C][C]25.0934310164441[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 28 )[/C][C]172.930612244898[/C][C]6.87078640455521[/C][C]25.1689693235476[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 28 )[/C][C]172.193617021277[/C][C]6.83428222605546[/C][C]25.1955671898937[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 28 )[/C][C]171.395555555556[/C][C]6.77700729185785[/C][C]25.2907438599744[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 28 )[/C][C]170.509302325581[/C][C]6.69692977203569[/C][C]25.4608168414093[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 28 )[/C][C]169.490243902439[/C][C]6.59069632954431[/C][C]25.7165913019934[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 28 )[/C][C]168.428205128205[/C][C]6.46880081029855[/C][C]26.0370059408943[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 28 )[/C][C]167.186486486486[/C][C]6.3027904613776[/C][C]26.5257884600442[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 28 )[/C][C]165.817142857143[/C][C]6.0685627245186[/C][C]27.3239563277805[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 28 )[/C][C]164.393939393939[/C][C]5.77855711549228[/C][C]28.4489598542169[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 28 )[/C][C]163.106451612903[/C][C]5.52790173006789[/C][C]29.506033134728[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 28 )[/C][C]161.696551724138[/C][C]5.17769106813166[/C][C]31.2294707421556[/C][/ROW]
[ROW][C]Median[/C][C]150.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]192.85[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]168.428571428571[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]170.509302325581[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]170.509302325581[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]170.509302325581[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]170.509302325581[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]169.422727272727[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]170.509302325581[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]170.509302325581[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]85[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71521&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71521&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 Mean178.7164705882357.7946021772124522.9282350176528
Geometric Mean164.424800162315
Harmonic Mean151.091330186765
Quadratic Mean192.465752797738
Winsorized Mean ( 1 / 28 )178.6847058823537.7873736967033622.9454387116411
Winsorized Mean ( 2 / 28 )178.6094117647067.7679515816328422.9931159956022
Winsorized Mean ( 3 / 28 )178.6623529411767.7349260608349923.0981332641064
Winsorized Mean ( 4 / 28 )178.3235294117657.6682432273267223.2548087124163
Winsorized Mean ( 5 / 28 )178.27.6383257071064423.3297199979583
Winsorized Mean ( 6 / 28 )178.1717647058827.5968410086209723.4534018157931
Winsorized Mean ( 7 / 28 )177.9905882352947.5400245977222223.606101800923
Winsorized Mean ( 8 / 28 )177.7270588235297.4953201810800323.7117367276924
Winsorized Mean ( 9 / 28 )177.8223529411767.460165057100923.8362491419567
Winsorized Mean ( 10 / 28 )177.8105882352947.4513918808681223.8627347854074
Winsorized Mean ( 11 / 28 )177.7976470588247.392503769286124.0510728986742
Winsorized Mean ( 12 / 28 )177.4023529411767.2584580193898924.440776879507
Winsorized Mean ( 13 / 28 )177.4329411764717.2543220746368724.4589279812686
Winsorized Mean ( 14 / 28 )178.0423529411767.0617302885330325.2122844779678
Winsorized Mean ( 15 / 28 )178.7658823529416.9548303656092925.7038450911635
Winsorized Mean ( 16 / 28 )179.7447058823536.7633595371946926.5762458573816
Winsorized Mean ( 17 / 28 )180.9647058823536.5482742409496327.6354806203274
Winsorized Mean ( 18 / 28 )180.2658823529416.3391453251693728.4369379634193
Winsorized Mean ( 19 / 28 )180.2211764705886.3267869220191128.4854190115625
Winsorized Mean ( 20 / 28 )180.3623529411766.2871103248322528.6876392527737
Winsorized Mean ( 21 / 28 )180.8317647058826.2173992806049529.0847919756390
Winsorized Mean ( 22 / 28 )180.2105882352946.0736698174911629.670791078619
Winsorized Mean ( 23 / 28 )180.865.9982203709973530.1522766443353
Winsorized Mean ( 24 / 28 )180.7188235294125.9634198857889530.3045613071908
Winsorized Mean ( 25 / 28 )179.6305882352945.7978304218839230.9823805051762
Winsorized Mean ( 26 / 28 )176.6023529411765.2816308640372833.437087423823
Winsorized Mean ( 27 / 28 )176.0941176470595.186696609299833.9511120298265
Winsorized Mean ( 28 / 28 )175.2705882352945.0633966366543334.6152199427745
Trimmed Mean ( 1 / 28 )178.3759036144587.746877048045623.0255240283514
Trimmed Mean ( 2 / 28 )178.0518518518527.6970312761734523.1325358392424
Trimmed Mean ( 3 / 28 )177.7518987341777.6478880120157823.2419588852383
Trimmed Mean ( 4 / 28 )177.4168831168837.6013326264909423.3402341187621
Trimmed Mean ( 5 / 28 )177.167.5656725941453323.4162921796397
Trimmed Mean ( 6 / 28 )176.9178082191787.5281876045352523.5007172393786
Trimmed Mean ( 7 / 28 )176.6676056338037.4900144860070323.5870846396701
Trimmed Mean ( 8 / 28 )176.4347826086967.4531185580788823.6726118380939
Trimmed Mean ( 9 / 28 )176.2298507462697.4138230127288423.7704421111346
Trimmed Mean ( 10 / 28 )175.9984615384627.3687325038311523.8844959356248
Trimmed Mean ( 11 / 28 )175.7539682539687.3112601838302924.0388064211788
Trimmed Mean ( 12 / 28 )175.4950819672137.2478749198446624.2133154763348
Trimmed Mean ( 13 / 28 )175.2661016949157.1901531837901524.3758508636567
Trimmed Mean ( 14 / 28 )175.0175438596497.1148513541762724.5989037784911
Trimmed Mean ( 15 / 28 )174.6836363636367.0503197451843124.7766970402943
Trimmed Mean ( 16 / 28 )174.2471698113216.9818163180151124.9572835884715
Trimmed Mean ( 17 / 28 )173.6745098039226.921114521569825.0934310164441
Trimmed Mean ( 18 / 28 )172.9306122448986.8707864045552125.1689693235476
Trimmed Mean ( 19 / 28 )172.1936170212776.8342822260554625.1955671898937
Trimmed Mean ( 20 / 28 )171.3955555555566.7770072918578525.2907438599744
Trimmed Mean ( 21 / 28 )170.5093023255816.6969297720356925.4608168414093
Trimmed Mean ( 22 / 28 )169.4902439024396.5906963295443125.7165913019934
Trimmed Mean ( 23 / 28 )168.4282051282056.4688008102985526.0370059408943
Trimmed Mean ( 24 / 28 )167.1864864864866.302790461377626.5257884600442
Trimmed Mean ( 25 / 28 )165.8171428571436.068562724518627.3239563277805
Trimmed Mean ( 26 / 28 )164.3939393939395.7785571154922828.4489598542169
Trimmed Mean ( 27 / 28 )163.1064516129035.5279017300678929.506033134728
Trimmed Mean ( 28 / 28 )161.6965517241385.1776910681316631.2294707421556
Median150.5
Midrange192.85
Midmean - Weighted Average at Xnp168.428571428571
Midmean - Weighted Average at X(n+1)p170.509302325581
Midmean - Empirical Distribution Function170.509302325581
Midmean - Empirical Distribution Function - Averaging170.509302325581
Midmean - Empirical Distribution Function - Interpolation170.509302325581
Midmean - Closest Observation169.422727272727
Midmean - True Basic - Statistics Graphics Toolkit170.509302325581
Midmean - MS Excel (old versions)170.509302325581
Number of observations85



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')