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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 computationMon, 04 Apr 2011 19:23:13 +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/2011/Apr/04/t1301944820h87gem22ac8r0yl.htm/, Retrieved Wed, 08 May 2024 05:23:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=120216, Retrieved Wed, 08 May 2024 05:23:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W52
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Central Tendency] [] [2011-04-04 19:23:13] [a99b800ebea0aa886a82ba0f52cc2ca2] [Current]
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Dataseries X:
6827
6178
7084
8162
8462
9644
10466
10748
9963
8194
6848
7027
7269
6775
7819
8371
9069
10248
11030
10882
10333
9109
7685
7602
8350
7829
8829
9948
10638
11253
11424
11391
10665
9396
7775
7933
8186
7444
8484
9948
10252
12282
11637
11577
12417
9637
8094
9280
8334
7899
9994
10078
10801
12950
12222
12246
13281
10366
8730
9614
8639
8772
10894
10455
11179
10588
10794
12770
13812
10857
9290
10925
9491
8919
11607
8852
12537
14759
13667
13731
15110
12185
10645
12161
10840
10436
13589
13402
13103
14933
14147
14057
16234
12389
11595
12772




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ www.yougetit.org

\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 & 'Herman Ole Andreas Wold' @ www.yougetit.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=120216&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]'Herman Ole Andreas Wold' @ www.yougetit.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=120216&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=120216&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'Herman Ole Andreas Wold' @ www.yougetit.org







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean10386.6145833333224.77209577088346.2095374771107
Geometric Mean10156.8113273327
Harmonic Mean9929.16426497831
Quadratic Mean10615.1495293872
Winsorized Mean ( 1 / 32 )10381.125220.69766732306547.0377649474825
Winsorized Mean ( 2 / 32 )10378.5208333333219.69409951988347.2407809586804
Winsorized Mean ( 3 / 32 )10373.7395833333218.41457353133647.4956382974372
Winsorized Mean ( 4 / 32 )10355.6979166667212.06610041994648.8324060100114
Winsorized Mean ( 5 / 32 )10353.9791666667210.70367015844449.1400038683746
Winsorized Mean ( 6 / 32 )10350.2291666667206.07808331035650.2247934394805
Winsorized Mean ( 7 / 32 )10357.0833333333203.07150816128951.0021490809397
Winsorized Mean ( 8 / 32 )10364.9166666667200.19133537751851.7750513383641
Winsorized Mean ( 9 / 32 )10365.3854166667197.80903501984152.4009705402333
Winsorized Mean ( 10 / 32 )10355.28125193.19310611583853.600676847087
Winsorized Mean ( 11 / 32 )10346.4583333333190.20931793907554.3951182068135
Winsorized Mean ( 12 / 32 )10325.4583333333186.48230591753655.3696410097981
Winsorized Mean ( 13 / 32 )10314.21875181.94767611264156.6878289976873
Winsorized Mean ( 14 / 32 )10293.21875177.36454196456358.034253272881
Winsorized Mean ( 15 / 32 )10318.0625173.8621049505359.346241683522
Winsorized Mean ( 16 / 32 )10290.5625166.69795198419161.731787208615
Winsorized Mean ( 17 / 32 )10273.5625163.14915063713562.9703707305824
Winsorized Mean ( 18 / 32 )10269.8125162.22312330613563.3067117110032
Winsorized Mean ( 19 / 32 )10276.34375155.64344854937966.0249040083416
Winsorized Mean ( 20 / 32 )10272.1770833333154.19181705339166.619469694533
Winsorized Mean ( 21 / 32 )10271.5208333333152.88361441578667.1852302327092
Winsorized Mean ( 22 / 32 )10283.8958333333149.03856241770669.0015769510104
Winsorized Mean ( 23 / 32 )10283.4166666667147.59018850414869.6754762013033
Winsorized Mean ( 24 / 32 )10191.1666666667125.82906609471880.9921505655555
Winsorized Mean ( 25 / 32 )10207.0520833333121.83300816831383.7790368701413
Winsorized Mean ( 26 / 32 )10215.1770833333119.99385583209885.1308345122851
Winsorized Mean ( 27 / 32 )10226.1458333333117.36142722672787.133788971207
Winsorized Mean ( 28 / 32 )10188.2291666667111.20097528046291.6199623336999
Winsorized Mean ( 29 / 32 )10198.5107.48754211780294.880762915044
Winsorized Mean ( 30 / 32 )10202.2596.6682607249088105.538776879754
Winsorized Mean ( 31 / 32 )10191.270833333392.3621702853352110.340313592127
Winsorized Mean ( 32 / 32 )10198.604166666779.8698577939624127.690275760546
Trimmed Mean ( 1 / 32 )10369.1808510638216.25550059602747.9487496155476
Trimmed Mean ( 2 / 32 )10356.7173913043211.19652037014449.0382955796484
Trimmed Mean ( 3 / 32 )10345.0888888889206.02988804455450.2115930221335
Trimmed Mean ( 4 / 32 )10334.6704545455200.66803513351251.5013287874643
Trimmed Mean ( 5 / 32 )10328.8023255814196.69349715949952.5121698212817
Trimmed Mean ( 6 / 32 )10323.0476190476192.509145385453.6236738175791
Trimmed Mean ( 7 / 32 )10317.743902439188.84840217382354.6350606289069
Trimmed Mean ( 8 / 32 )10311185.28376372814255.6497762811471
Trimmed Mean ( 9 / 32 )10302.7051282051181.73291625388456.6914642684326
Trimmed Mean ( 10 / 32 )10293.9078947368178.05049665915757.8145418737164
Trimmed Mean ( 11 / 32 )10285.9459459459174.60563158084358.9095887275749
Trimmed Mean ( 12 / 32 )10278.6111111111171.08658836430260.0784153181221
Trimmed Mean ( 13 / 32 )10273.2571428571167.58647183689661.3012317178895
Trimmed Mean ( 14 / 32 )10268.8088235294164.20736031182162.535618403642
Trimmed Mean ( 15 / 32 )10266.2727272727160.94552430171163.7872520644153
Trimmed Mean ( 16 / 32 )10261.09375157.5928136057465.1114318935305
Trimmed Mean ( 17 / 32 )10258.2419354839154.73341344425266.2962298002928
Trimmed Mean ( 18 / 32 )10256.8151.82107332345167.558473770951
Trimmed Mean ( 19 / 32 )10255.6034482759148.38739528764369.11371028783
Trimmed Mean ( 20 / 32 )10253.7321428571145.26641108324970.5857057140413
Trimmed Mean ( 21 / 32 )10252.0925925926141.62097491914872.3910607058421
Trimmed Mean ( 22 / 32 )10250.3846153846137.28473936870874.665142407817
Trimmed Mean ( 23 / 32 )10247.46132.54344596919177.3139699595708
Trimmed Mean ( 24 / 32 )10244.3333333333126.79409067563180.7950376768013
Trimmed Mean ( 25 / 32 )10248.9565217391123.8503263606382.7527615219682
Trimmed Mean ( 26 / 32 )10252.6136363636120.77846166964884.8877647109507
Trimmed Mean ( 27 / 32 )10255.9047619048117.08013084112387.5973120991979
Trimmed Mean ( 28 / 32 )10258.55112.72592101744391.0043573599423
Trimmed Mean ( 29 / 32 )10264.8947368421108.28069779794594.7989341184035
Trimmed Mean ( 30 / 32 )10271103.1413500747399.5817874456579
Trimmed Mean ( 31 / 32 )10277.470588235398.9855067380891103.828034294243
Trimmed Mean ( 32 / 32 )10285.812594.2564111524875109.125866073552
Median10401
Midrange11206
Midmean - Weighted Average at Xnp10208.4081632653
Midmean - Weighted Average at X(n+1)p10244.3333333333
Midmean - Empirical Distribution Function10208.4081632653
Midmean - Empirical Distribution Function - Averaging10244.3333333333
Midmean - Empirical Distribution Function - Interpolation10244.3333333333
Midmean - Closest Observation10208.4081632653
Midmean - True Basic - Statistics Graphics Toolkit10244.3333333333
Midmean - MS Excel (old versions)10247.46
Number of observations96

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 10386.6145833333 & 224.772095770883 & 46.2095374771107 \tabularnewline
Geometric Mean & 10156.8113273327 &  &  \tabularnewline
Harmonic Mean & 9929.16426497831 &  &  \tabularnewline
Quadratic Mean & 10615.1495293872 &  &  \tabularnewline
Winsorized Mean ( 1 / 32 ) & 10381.125 & 220.697667323065 & 47.0377649474825 \tabularnewline
Winsorized Mean ( 2 / 32 ) & 10378.5208333333 & 219.694099519883 & 47.2407809586804 \tabularnewline
Winsorized Mean ( 3 / 32 ) & 10373.7395833333 & 218.414573531336 & 47.4956382974372 \tabularnewline
Winsorized Mean ( 4 / 32 ) & 10355.6979166667 & 212.066100419946 & 48.8324060100114 \tabularnewline
Winsorized Mean ( 5 / 32 ) & 10353.9791666667 & 210.703670158444 & 49.1400038683746 \tabularnewline
Winsorized Mean ( 6 / 32 ) & 10350.2291666667 & 206.078083310356 & 50.2247934394805 \tabularnewline
Winsorized Mean ( 7 / 32 ) & 10357.0833333333 & 203.071508161289 & 51.0021490809397 \tabularnewline
Winsorized Mean ( 8 / 32 ) & 10364.9166666667 & 200.191335377518 & 51.7750513383641 \tabularnewline
Winsorized Mean ( 9 / 32 ) & 10365.3854166667 & 197.809035019841 & 52.4009705402333 \tabularnewline
Winsorized Mean ( 10 / 32 ) & 10355.28125 & 193.193106115838 & 53.600676847087 \tabularnewline
Winsorized Mean ( 11 / 32 ) & 10346.4583333333 & 190.209317939075 & 54.3951182068135 \tabularnewline
Winsorized Mean ( 12 / 32 ) & 10325.4583333333 & 186.482305917536 & 55.3696410097981 \tabularnewline
Winsorized Mean ( 13 / 32 ) & 10314.21875 & 181.947676112641 & 56.6878289976873 \tabularnewline
Winsorized Mean ( 14 / 32 ) & 10293.21875 & 177.364541964563 & 58.034253272881 \tabularnewline
Winsorized Mean ( 15 / 32 ) & 10318.0625 & 173.86210495053 & 59.346241683522 \tabularnewline
Winsorized Mean ( 16 / 32 ) & 10290.5625 & 166.697951984191 & 61.731787208615 \tabularnewline
Winsorized Mean ( 17 / 32 ) & 10273.5625 & 163.149150637135 & 62.9703707305824 \tabularnewline
Winsorized Mean ( 18 / 32 ) & 10269.8125 & 162.223123306135 & 63.3067117110032 \tabularnewline
Winsorized Mean ( 19 / 32 ) & 10276.34375 & 155.643448549379 & 66.0249040083416 \tabularnewline
Winsorized Mean ( 20 / 32 ) & 10272.1770833333 & 154.191817053391 & 66.619469694533 \tabularnewline
Winsorized Mean ( 21 / 32 ) & 10271.5208333333 & 152.883614415786 & 67.1852302327092 \tabularnewline
Winsorized Mean ( 22 / 32 ) & 10283.8958333333 & 149.038562417706 & 69.0015769510104 \tabularnewline
Winsorized Mean ( 23 / 32 ) & 10283.4166666667 & 147.590188504148 & 69.6754762013033 \tabularnewline
Winsorized Mean ( 24 / 32 ) & 10191.1666666667 & 125.829066094718 & 80.9921505655555 \tabularnewline
Winsorized Mean ( 25 / 32 ) & 10207.0520833333 & 121.833008168313 & 83.7790368701413 \tabularnewline
Winsorized Mean ( 26 / 32 ) & 10215.1770833333 & 119.993855832098 & 85.1308345122851 \tabularnewline
Winsorized Mean ( 27 / 32 ) & 10226.1458333333 & 117.361427226727 & 87.133788971207 \tabularnewline
Winsorized Mean ( 28 / 32 ) & 10188.2291666667 & 111.200975280462 & 91.6199623336999 \tabularnewline
Winsorized Mean ( 29 / 32 ) & 10198.5 & 107.487542117802 & 94.880762915044 \tabularnewline
Winsorized Mean ( 30 / 32 ) & 10202.25 & 96.6682607249088 & 105.538776879754 \tabularnewline
Winsorized Mean ( 31 / 32 ) & 10191.2708333333 & 92.3621702853352 & 110.340313592127 \tabularnewline
Winsorized Mean ( 32 / 32 ) & 10198.6041666667 & 79.8698577939624 & 127.690275760546 \tabularnewline
Trimmed Mean ( 1 / 32 ) & 10369.1808510638 & 216.255500596027 & 47.9487496155476 \tabularnewline
Trimmed Mean ( 2 / 32 ) & 10356.7173913043 & 211.196520370144 & 49.0382955796484 \tabularnewline
Trimmed Mean ( 3 / 32 ) & 10345.0888888889 & 206.029888044554 & 50.2115930221335 \tabularnewline
Trimmed Mean ( 4 / 32 ) & 10334.6704545455 & 200.668035133512 & 51.5013287874643 \tabularnewline
Trimmed Mean ( 5 / 32 ) & 10328.8023255814 & 196.693497159499 & 52.5121698212817 \tabularnewline
Trimmed Mean ( 6 / 32 ) & 10323.0476190476 & 192.5091453854 & 53.6236738175791 \tabularnewline
Trimmed Mean ( 7 / 32 ) & 10317.743902439 & 188.848402173823 & 54.6350606289069 \tabularnewline
Trimmed Mean ( 8 / 32 ) & 10311 & 185.283763728142 & 55.6497762811471 \tabularnewline
Trimmed Mean ( 9 / 32 ) & 10302.7051282051 & 181.732916253884 & 56.6914642684326 \tabularnewline
Trimmed Mean ( 10 / 32 ) & 10293.9078947368 & 178.050496659157 & 57.8145418737164 \tabularnewline
Trimmed Mean ( 11 / 32 ) & 10285.9459459459 & 174.605631580843 & 58.9095887275749 \tabularnewline
Trimmed Mean ( 12 / 32 ) & 10278.6111111111 & 171.086588364302 & 60.0784153181221 \tabularnewline
Trimmed Mean ( 13 / 32 ) & 10273.2571428571 & 167.586471836896 & 61.3012317178895 \tabularnewline
Trimmed Mean ( 14 / 32 ) & 10268.8088235294 & 164.207360311821 & 62.535618403642 \tabularnewline
Trimmed Mean ( 15 / 32 ) & 10266.2727272727 & 160.945524301711 & 63.7872520644153 \tabularnewline
Trimmed Mean ( 16 / 32 ) & 10261.09375 & 157.59281360574 & 65.1114318935305 \tabularnewline
Trimmed Mean ( 17 / 32 ) & 10258.2419354839 & 154.733413444252 & 66.2962298002928 \tabularnewline
Trimmed Mean ( 18 / 32 ) & 10256.8 & 151.821073323451 & 67.558473770951 \tabularnewline
Trimmed Mean ( 19 / 32 ) & 10255.6034482759 & 148.387395287643 & 69.11371028783 \tabularnewline
Trimmed Mean ( 20 / 32 ) & 10253.7321428571 & 145.266411083249 & 70.5857057140413 \tabularnewline
Trimmed Mean ( 21 / 32 ) & 10252.0925925926 & 141.620974919148 & 72.3910607058421 \tabularnewline
Trimmed Mean ( 22 / 32 ) & 10250.3846153846 & 137.284739368708 & 74.665142407817 \tabularnewline
Trimmed Mean ( 23 / 32 ) & 10247.46 & 132.543445969191 & 77.3139699595708 \tabularnewline
Trimmed Mean ( 24 / 32 ) & 10244.3333333333 & 126.794090675631 & 80.7950376768013 \tabularnewline
Trimmed Mean ( 25 / 32 ) & 10248.9565217391 & 123.85032636063 & 82.7527615219682 \tabularnewline
Trimmed Mean ( 26 / 32 ) & 10252.6136363636 & 120.778461669648 & 84.8877647109507 \tabularnewline
Trimmed Mean ( 27 / 32 ) & 10255.9047619048 & 117.080130841123 & 87.5973120991979 \tabularnewline
Trimmed Mean ( 28 / 32 ) & 10258.55 & 112.725921017443 & 91.0043573599423 \tabularnewline
Trimmed Mean ( 29 / 32 ) & 10264.8947368421 & 108.280697797945 & 94.7989341184035 \tabularnewline
Trimmed Mean ( 30 / 32 ) & 10271 & 103.14135007473 & 99.5817874456579 \tabularnewline
Trimmed Mean ( 31 / 32 ) & 10277.4705882353 & 98.9855067380891 & 103.828034294243 \tabularnewline
Trimmed Mean ( 32 / 32 ) & 10285.8125 & 94.2564111524875 & 109.125866073552 \tabularnewline
Median & 10401 &  &  \tabularnewline
Midrange & 11206 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 10208.4081632653 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 10244.3333333333 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 10208.4081632653 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 10244.3333333333 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 10244.3333333333 &  &  \tabularnewline
Midmean - Closest Observation & 10208.4081632653 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 10244.3333333333 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 10247.46 &  &  \tabularnewline
Number of observations & 96 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=120216&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]10386.6145833333[/C][C]224.772095770883[/C][C]46.2095374771107[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]10156.8113273327[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]9929.16426497831[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]10615.1495293872[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 32 )[/C][C]10381.125[/C][C]220.697667323065[/C][C]47.0377649474825[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 32 )[/C][C]10378.5208333333[/C][C]219.694099519883[/C][C]47.2407809586804[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 32 )[/C][C]10373.7395833333[/C][C]218.414573531336[/C][C]47.4956382974372[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 32 )[/C][C]10355.6979166667[/C][C]212.066100419946[/C][C]48.8324060100114[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 32 )[/C][C]10353.9791666667[/C][C]210.703670158444[/C][C]49.1400038683746[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 32 )[/C][C]10350.2291666667[/C][C]206.078083310356[/C][C]50.2247934394805[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 32 )[/C][C]10357.0833333333[/C][C]203.071508161289[/C][C]51.0021490809397[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 32 )[/C][C]10364.9166666667[/C][C]200.191335377518[/C][C]51.7750513383641[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 32 )[/C][C]10365.3854166667[/C][C]197.809035019841[/C][C]52.4009705402333[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 32 )[/C][C]10355.28125[/C][C]193.193106115838[/C][C]53.600676847087[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 32 )[/C][C]10346.4583333333[/C][C]190.209317939075[/C][C]54.3951182068135[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 32 )[/C][C]10325.4583333333[/C][C]186.482305917536[/C][C]55.3696410097981[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 32 )[/C][C]10314.21875[/C][C]181.947676112641[/C][C]56.6878289976873[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 32 )[/C][C]10293.21875[/C][C]177.364541964563[/C][C]58.034253272881[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 32 )[/C][C]10318.0625[/C][C]173.86210495053[/C][C]59.346241683522[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 32 )[/C][C]10290.5625[/C][C]166.697951984191[/C][C]61.731787208615[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 32 )[/C][C]10273.5625[/C][C]163.149150637135[/C][C]62.9703707305824[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 32 )[/C][C]10269.8125[/C][C]162.223123306135[/C][C]63.3067117110032[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 32 )[/C][C]10276.34375[/C][C]155.643448549379[/C][C]66.0249040083416[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 32 )[/C][C]10272.1770833333[/C][C]154.191817053391[/C][C]66.619469694533[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 32 )[/C][C]10271.5208333333[/C][C]152.883614415786[/C][C]67.1852302327092[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 32 )[/C][C]10283.8958333333[/C][C]149.038562417706[/C][C]69.0015769510104[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 32 )[/C][C]10283.4166666667[/C][C]147.590188504148[/C][C]69.6754762013033[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 32 )[/C][C]10191.1666666667[/C][C]125.829066094718[/C][C]80.9921505655555[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 32 )[/C][C]10207.0520833333[/C][C]121.833008168313[/C][C]83.7790368701413[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 32 )[/C][C]10215.1770833333[/C][C]119.993855832098[/C][C]85.1308345122851[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 32 )[/C][C]10226.1458333333[/C][C]117.361427226727[/C][C]87.133788971207[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 32 )[/C][C]10188.2291666667[/C][C]111.200975280462[/C][C]91.6199623336999[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 32 )[/C][C]10198.5[/C][C]107.487542117802[/C][C]94.880762915044[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 32 )[/C][C]10202.25[/C][C]96.6682607249088[/C][C]105.538776879754[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 32 )[/C][C]10191.2708333333[/C][C]92.3621702853352[/C][C]110.340313592127[/C][/ROW]
[ROW][C]Winsorized Mean ( 32 / 32 )[/C][C]10198.6041666667[/C][C]79.8698577939624[/C][C]127.690275760546[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 32 )[/C][C]10369.1808510638[/C][C]216.255500596027[/C][C]47.9487496155476[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 32 )[/C][C]10356.7173913043[/C][C]211.196520370144[/C][C]49.0382955796484[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 32 )[/C][C]10345.0888888889[/C][C]206.029888044554[/C][C]50.2115930221335[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 32 )[/C][C]10334.6704545455[/C][C]200.668035133512[/C][C]51.5013287874643[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 32 )[/C][C]10328.8023255814[/C][C]196.693497159499[/C][C]52.5121698212817[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 32 )[/C][C]10323.0476190476[/C][C]192.5091453854[/C][C]53.6236738175791[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 32 )[/C][C]10317.743902439[/C][C]188.848402173823[/C][C]54.6350606289069[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 32 )[/C][C]10311[/C][C]185.283763728142[/C][C]55.6497762811471[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 32 )[/C][C]10302.7051282051[/C][C]181.732916253884[/C][C]56.6914642684326[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 32 )[/C][C]10293.9078947368[/C][C]178.050496659157[/C][C]57.8145418737164[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 32 )[/C][C]10285.9459459459[/C][C]174.605631580843[/C][C]58.9095887275749[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 32 )[/C][C]10278.6111111111[/C][C]171.086588364302[/C][C]60.0784153181221[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 32 )[/C][C]10273.2571428571[/C][C]167.586471836896[/C][C]61.3012317178895[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 32 )[/C][C]10268.8088235294[/C][C]164.207360311821[/C][C]62.535618403642[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 32 )[/C][C]10266.2727272727[/C][C]160.945524301711[/C][C]63.7872520644153[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 32 )[/C][C]10261.09375[/C][C]157.59281360574[/C][C]65.1114318935305[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 32 )[/C][C]10258.2419354839[/C][C]154.733413444252[/C][C]66.2962298002928[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 32 )[/C][C]10256.8[/C][C]151.821073323451[/C][C]67.558473770951[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 32 )[/C][C]10255.6034482759[/C][C]148.387395287643[/C][C]69.11371028783[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 32 )[/C][C]10253.7321428571[/C][C]145.266411083249[/C][C]70.5857057140413[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 32 )[/C][C]10252.0925925926[/C][C]141.620974919148[/C][C]72.3910607058421[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 32 )[/C][C]10250.3846153846[/C][C]137.284739368708[/C][C]74.665142407817[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 32 )[/C][C]10247.46[/C][C]132.543445969191[/C][C]77.3139699595708[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 32 )[/C][C]10244.3333333333[/C][C]126.794090675631[/C][C]80.7950376768013[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 32 )[/C][C]10248.9565217391[/C][C]123.85032636063[/C][C]82.7527615219682[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 32 )[/C][C]10252.6136363636[/C][C]120.778461669648[/C][C]84.8877647109507[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 32 )[/C][C]10255.9047619048[/C][C]117.080130841123[/C][C]87.5973120991979[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 32 )[/C][C]10258.55[/C][C]112.725921017443[/C][C]91.0043573599423[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 32 )[/C][C]10264.8947368421[/C][C]108.280697797945[/C][C]94.7989341184035[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 32 )[/C][C]10271[/C][C]103.14135007473[/C][C]99.5817874456579[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 32 )[/C][C]10277.4705882353[/C][C]98.9855067380891[/C][C]103.828034294243[/C][/ROW]
[ROW][C]Trimmed Mean ( 32 / 32 )[/C][C]10285.8125[/C][C]94.2564111524875[/C][C]109.125866073552[/C][/ROW]
[ROW][C]Median[/C][C]10401[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]11206[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]10208.4081632653[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]10244.3333333333[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]10208.4081632653[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]10244.3333333333[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]10244.3333333333[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]10208.4081632653[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]10244.3333333333[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]10247.46[/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=120216&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=120216&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 Mean10386.6145833333224.77209577088346.2095374771107
Geometric Mean10156.8113273327
Harmonic Mean9929.16426497831
Quadratic Mean10615.1495293872
Winsorized Mean ( 1 / 32 )10381.125220.69766732306547.0377649474825
Winsorized Mean ( 2 / 32 )10378.5208333333219.69409951988347.2407809586804
Winsorized Mean ( 3 / 32 )10373.7395833333218.41457353133647.4956382974372
Winsorized Mean ( 4 / 32 )10355.6979166667212.06610041994648.8324060100114
Winsorized Mean ( 5 / 32 )10353.9791666667210.70367015844449.1400038683746
Winsorized Mean ( 6 / 32 )10350.2291666667206.07808331035650.2247934394805
Winsorized Mean ( 7 / 32 )10357.0833333333203.07150816128951.0021490809397
Winsorized Mean ( 8 / 32 )10364.9166666667200.19133537751851.7750513383641
Winsorized Mean ( 9 / 32 )10365.3854166667197.80903501984152.4009705402333
Winsorized Mean ( 10 / 32 )10355.28125193.19310611583853.600676847087
Winsorized Mean ( 11 / 32 )10346.4583333333190.20931793907554.3951182068135
Winsorized Mean ( 12 / 32 )10325.4583333333186.48230591753655.3696410097981
Winsorized Mean ( 13 / 32 )10314.21875181.94767611264156.6878289976873
Winsorized Mean ( 14 / 32 )10293.21875177.36454196456358.034253272881
Winsorized Mean ( 15 / 32 )10318.0625173.8621049505359.346241683522
Winsorized Mean ( 16 / 32 )10290.5625166.69795198419161.731787208615
Winsorized Mean ( 17 / 32 )10273.5625163.14915063713562.9703707305824
Winsorized Mean ( 18 / 32 )10269.8125162.22312330613563.3067117110032
Winsorized Mean ( 19 / 32 )10276.34375155.64344854937966.0249040083416
Winsorized Mean ( 20 / 32 )10272.1770833333154.19181705339166.619469694533
Winsorized Mean ( 21 / 32 )10271.5208333333152.88361441578667.1852302327092
Winsorized Mean ( 22 / 32 )10283.8958333333149.03856241770669.0015769510104
Winsorized Mean ( 23 / 32 )10283.4166666667147.59018850414869.6754762013033
Winsorized Mean ( 24 / 32 )10191.1666666667125.82906609471880.9921505655555
Winsorized Mean ( 25 / 32 )10207.0520833333121.83300816831383.7790368701413
Winsorized Mean ( 26 / 32 )10215.1770833333119.99385583209885.1308345122851
Winsorized Mean ( 27 / 32 )10226.1458333333117.36142722672787.133788971207
Winsorized Mean ( 28 / 32 )10188.2291666667111.20097528046291.6199623336999
Winsorized Mean ( 29 / 32 )10198.5107.48754211780294.880762915044
Winsorized Mean ( 30 / 32 )10202.2596.6682607249088105.538776879754
Winsorized Mean ( 31 / 32 )10191.270833333392.3621702853352110.340313592127
Winsorized Mean ( 32 / 32 )10198.604166666779.8698577939624127.690275760546
Trimmed Mean ( 1 / 32 )10369.1808510638216.25550059602747.9487496155476
Trimmed Mean ( 2 / 32 )10356.7173913043211.19652037014449.0382955796484
Trimmed Mean ( 3 / 32 )10345.0888888889206.02988804455450.2115930221335
Trimmed Mean ( 4 / 32 )10334.6704545455200.66803513351251.5013287874643
Trimmed Mean ( 5 / 32 )10328.8023255814196.69349715949952.5121698212817
Trimmed Mean ( 6 / 32 )10323.0476190476192.509145385453.6236738175791
Trimmed Mean ( 7 / 32 )10317.743902439188.84840217382354.6350606289069
Trimmed Mean ( 8 / 32 )10311185.28376372814255.6497762811471
Trimmed Mean ( 9 / 32 )10302.7051282051181.73291625388456.6914642684326
Trimmed Mean ( 10 / 32 )10293.9078947368178.05049665915757.8145418737164
Trimmed Mean ( 11 / 32 )10285.9459459459174.60563158084358.9095887275749
Trimmed Mean ( 12 / 32 )10278.6111111111171.08658836430260.0784153181221
Trimmed Mean ( 13 / 32 )10273.2571428571167.58647183689661.3012317178895
Trimmed Mean ( 14 / 32 )10268.8088235294164.20736031182162.535618403642
Trimmed Mean ( 15 / 32 )10266.2727272727160.94552430171163.7872520644153
Trimmed Mean ( 16 / 32 )10261.09375157.5928136057465.1114318935305
Trimmed Mean ( 17 / 32 )10258.2419354839154.73341344425266.2962298002928
Trimmed Mean ( 18 / 32 )10256.8151.82107332345167.558473770951
Trimmed Mean ( 19 / 32 )10255.6034482759148.38739528764369.11371028783
Trimmed Mean ( 20 / 32 )10253.7321428571145.26641108324970.5857057140413
Trimmed Mean ( 21 / 32 )10252.0925925926141.62097491914872.3910607058421
Trimmed Mean ( 22 / 32 )10250.3846153846137.28473936870874.665142407817
Trimmed Mean ( 23 / 32 )10247.46132.54344596919177.3139699595708
Trimmed Mean ( 24 / 32 )10244.3333333333126.79409067563180.7950376768013
Trimmed Mean ( 25 / 32 )10248.9565217391123.8503263606382.7527615219682
Trimmed Mean ( 26 / 32 )10252.6136363636120.77846166964884.8877647109507
Trimmed Mean ( 27 / 32 )10255.9047619048117.08013084112387.5973120991979
Trimmed Mean ( 28 / 32 )10258.55112.72592101744391.0043573599423
Trimmed Mean ( 29 / 32 )10264.8947368421108.28069779794594.7989341184035
Trimmed Mean ( 30 / 32 )10271103.1413500747399.5817874456579
Trimmed Mean ( 31 / 32 )10277.470588235398.9855067380891103.828034294243
Trimmed Mean ( 32 / 32 )10285.812594.2564111524875109.125866073552
Median10401
Midrange11206
Midmean - Weighted Average at Xnp10208.4081632653
Midmean - Weighted Average at X(n+1)p10244.3333333333
Midmean - Empirical Distribution Function10208.4081632653
Midmean - Empirical Distribution Function - Averaging10244.3333333333
Midmean - Empirical Distribution Function - Interpolation10244.3333333333
Midmean - Closest Observation10208.4081632653
Midmean - True Basic - Statistics Graphics Toolkit10244.3333333333
Midmean - MS Excel (old versions)10247.46
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')