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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_centraltendency.wasp
Title produced by softwareCentral Tendency
Date of computationWed, 18 May 2011 14:30:36 +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/May/18/t1305728800ex5r3q3vcpwsdxg.htm/, Retrieved Tue, 14 May 2024 17:44:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=121861, Retrieved Tue, 14 May 2024 17:44:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKEYWORD: KDGP1W52
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Frequentie Goudko...] [2011-05-18 09:15:11] [a3242458c348dec20e8b58ac11e77c69]
- RMPD    [Central Tendency] [Centrummaten Goud...] [2011-05-18 14:30:36] [be417f314f65e9d8a38b0902dfa3287c] [Current]
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Dataseries X:
32819
32700
32242
32810
33865
32226
31077
31293
30236
30160
32436
30695
27525
26434
25739
25204
24977
24320
22680
22052
21467
21383
21777
21928
21814
22937
23595
20830
19650
19195
19644
18483
18079
19178
18391
18441
18584
20108
20148
19394
17745
17696
17032
16438
15683
15594
15713
15937
16171
15928
16348
15579
15305
15648
14954
15137
15839
16050
15168
17064
16005
14886
14931
14544
13812
13031
12574
11964
11451
11346
11353
10702
10646
10556
10463
10407
10625
10872
10805
10653
10574
10431
10383
10296
10872
10635
10297
10570
10662
10709
10413
10846
10371
9924
9828




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ www.wessa.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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=121861&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=121861&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=121861&T=0

As an alternative you can also use a QR Code:  

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

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







Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean17957.7052631579716.53254074228525.0619535639718
Geometric Mean16733.8711176108
Harmonic Mean15661.3112154365
Quadratic Mean19254.6242035791
Winsorized Mean ( 1 / 31 )17947.7052631579713.8907701985125.1406882010356
Winsorized Mean ( 2 / 31 )17955.3473684211712.93301613997825.1851814433233
Winsorized Mean ( 3 / 31 )17951.9052631579712.16177812684525.2076225016957
Winsorized Mean ( 4 / 31 )17943.9052631579709.3743046938225.295397851918
Winsorized Mean ( 5 / 31 )17934.3263157895707.09403849159225.36342457935
Winsorized Mean ( 6 / 31 )17934.8315789474706.70458888989525.3781167702897
Winsorized Mean ( 7 / 31 )17866.5263157895692.16289935820225.8126032648614
Winsorized Mean ( 8 / 31 )17849.8526315789688.25289385921325.9350200933993
Winsorized Mean ( 9 / 31 )17816.6947368421680.56238931488526.1793702040719
Winsorized Mean ( 10 / 31 )17778.1684210526669.79434838398726.5427268294306
Winsorized Mean ( 11 / 31 )17770.9894736842667.86948646473526.6084764071978
Winsorized Mean ( 12 / 31 )17438.6526315789605.30293892931528.809793427445
Winsorized Mean ( 13 / 31 )17296.3368421053578.66596719740129.8900191519384
Winsorized Mean ( 14 / 31 )17195.3894736842561.58846048168630.6192001504721
Winsorized Mean ( 15 / 31 )17112.6526315789547.89760851989431.2333041164526
Winsorized Mean ( 16 / 31 )17075.6541.78001023005931.517589570625
Winsorized Mean ( 17 / 31 )16959.6421052632523.65955938536532.3867707584087
Winsorized Mean ( 18 / 31 )16829.8526315789502.5683703201333.4876876968173
Winsorized Mean ( 19 / 31 )16699.6526315789483.9328319492234.5082034717811
Winsorized Mean ( 20 / 31 )16665.7578947368473.91032853106235.1664795878035
Winsorized Mean ( 21 / 31 )16536454.36684100383836.3935008185606
Winsorized Mean ( 22 / 31 )16513.3052631579449.87134507119636.706728365961
Winsorized Mean ( 23 / 31 )16485.7052631579446.35176996097836.9343337982039
Winsorized Mean ( 24 / 31 )16596.1052631579429.35459793366938.6536101931342
Winsorized Mean ( 25 / 31 )16516.3684210526418.7463926210939.442413623364
Winsorized Mean ( 26 / 31 )16520.2412.34550945940140.0639745577891
Winsorized Mean ( 27 / 31 )16508.8315789474373.8465008438644.1593850462235
Winsorized Mean ( 28 / 31 )16487.6105263158326.36680471430650.5186504514412
Winsorized Mean ( 29 / 31 )16614.9052631579307.34184056094954.0600174477806
Winsorized Mean ( 30 / 31 )16716.9052631579259.89709785272764.3212463750969
Winsorized Mean ( 31 / 31 )16953.8105263158232.21577326177773.0088670901945
Trimmed Mean ( 1 / 31 )17874.0752688172706.03539551405725.3161178354285
Trimmed Mean ( 2 / 31 )17797.2087912088696.92801423445625.5366528934243
Trimmed Mean ( 3 / 31 )17712.808988764686.92627577079325.78560409396
Trimmed Mean ( 4 / 31 )17625.7816091954675.63456928850626.0877438935025
Trimmed Mean ( 5 / 31 )17536.8941176471663.44665445830226.4330131138664
Trimmed Mean ( 6 / 31 )17445.9156626506649.8996860147826.8440130655085
Trimmed Mean ( 7 / 31 )17445.9156626506634.15035754579627.5106927798124
Trimmed Mean ( 8 / 31 )17261.6708860759619.22631987248727.8761905495725
Trimmed Mean ( 9 / 31 )17170.961038961602.54216673493428.4975259607263
Trimmed Mean ( 10 / 31 )17080.08584.49856965738729.2217652645613
Trimmed Mean ( 11 / 31 )16989.2328767123565.33717479274630.0515048969504
Trimmed Mean ( 12 / 31 )16894.1408450704542.8392639791431.1218107570782
Trimmed Mean ( 13 / 31 )16831.6666666667528.65531038481731.8386410502802
Trimmed Mean ( 14 / 31 )16831.6666666667516.66130393295332.5777574951712
Trimmed Mean ( 15 / 31 )16737.7230769231505.32334731361533.1227978400437
Trimmed Mean ( 16 / 31 )16700.0317460317494.04714828158733.8025061051732
Trimmed Mean ( 17 / 31 )16663.4754098361481.41136460494634.6137973363183
Trimmed Mean ( 18 / 31 )16635.4237288136469.26075591790835.4502768855526
Trimmed Mean ( 19 / 31 )16617.4210526316458.10853426346236.2739827131768
Trimmed Mean ( 20 / 31 )16609.9454545455447.60284631100337.10866807805
Trimmed Mean ( 21 / 31 )16604.9433962264436.24361163253638.063464893128
Trimmed Mean ( 22 / 31 )16611.0588235294425.48815463502339.0400029767647
Trimmed Mean ( 23 / 31 )16619.6734693878412.62090414059940.2783118901913
Trimmed Mean ( 24 / 31 )16631.4468085106396.80665863515741.9132251099708
Trimmed Mean ( 25 / 31 )16634.5555555556380.06229095453843.7679715969121
Trimmed Mean ( 26 / 31 )16645360.53493540241846.1675093466916
Trimmed Mean ( 27 / 31 )16656.1219512195336.15685979062749.5486599963888
Trimmed Mean ( 28 / 31 )16656.1219512195313.74086911446153.0887862911571
Trimmed Mean ( 29 / 31 )16686.0810810811296.36808635576456.3018821839369
Trimmed Mean ( 30 / 31 )16692.7428571429277.93392099881760.0601135592006
Trimmed Mean ( 31 / 31 )16690.4242424242266.28764149306262.6781781867226
Median16050
Midrange21846.5
Midmean - Weighted Average at Xnp16396.3673469388
Midmean - Weighted Average at X(n+1)p16504.72
Midmean - Empirical Distribution Function16504.72
Midmean - Empirical Distribution Function - Averaging16504.72
Midmean - Empirical Distribution Function - Interpolation16631.4468085106
Midmean - Closest Observation16396.3673469388
Midmean - True Basic - Statistics Graphics Toolkit16504.72
Midmean - MS Excel (old versions)16504.72
Number of observations95

\begin{tabular}{lllllllll}
\hline
Central Tendency - Ungrouped Data \tabularnewline
Measure & Value & S.E. & Value/S.E. \tabularnewline
Arithmetic Mean & 17957.7052631579 & 716.532540742285 & 25.0619535639718 \tabularnewline
Geometric Mean & 16733.8711176108 &  &  \tabularnewline
Harmonic Mean & 15661.3112154365 &  &  \tabularnewline
Quadratic Mean & 19254.6242035791 &  &  \tabularnewline
Winsorized Mean ( 1 / 31 ) & 17947.7052631579 & 713.89077019851 & 25.1406882010356 \tabularnewline
Winsorized Mean ( 2 / 31 ) & 17955.3473684211 & 712.933016139978 & 25.1851814433233 \tabularnewline
Winsorized Mean ( 3 / 31 ) & 17951.9052631579 & 712.161778126845 & 25.2076225016957 \tabularnewline
Winsorized Mean ( 4 / 31 ) & 17943.9052631579 & 709.37430469382 & 25.295397851918 \tabularnewline
Winsorized Mean ( 5 / 31 ) & 17934.3263157895 & 707.094038491592 & 25.36342457935 \tabularnewline
Winsorized Mean ( 6 / 31 ) & 17934.8315789474 & 706.704588889895 & 25.3781167702897 \tabularnewline
Winsorized Mean ( 7 / 31 ) & 17866.5263157895 & 692.162899358202 & 25.8126032648614 \tabularnewline
Winsorized Mean ( 8 / 31 ) & 17849.8526315789 & 688.252893859213 & 25.9350200933993 \tabularnewline
Winsorized Mean ( 9 / 31 ) & 17816.6947368421 & 680.562389314885 & 26.1793702040719 \tabularnewline
Winsorized Mean ( 10 / 31 ) & 17778.1684210526 & 669.794348383987 & 26.5427268294306 \tabularnewline
Winsorized Mean ( 11 / 31 ) & 17770.9894736842 & 667.869486464735 & 26.6084764071978 \tabularnewline
Winsorized Mean ( 12 / 31 ) & 17438.6526315789 & 605.302938929315 & 28.809793427445 \tabularnewline
Winsorized Mean ( 13 / 31 ) & 17296.3368421053 & 578.665967197401 & 29.8900191519384 \tabularnewline
Winsorized Mean ( 14 / 31 ) & 17195.3894736842 & 561.588460481686 & 30.6192001504721 \tabularnewline
Winsorized Mean ( 15 / 31 ) & 17112.6526315789 & 547.897608519894 & 31.2333041164526 \tabularnewline
Winsorized Mean ( 16 / 31 ) & 17075.6 & 541.780010230059 & 31.517589570625 \tabularnewline
Winsorized Mean ( 17 / 31 ) & 16959.6421052632 & 523.659559385365 & 32.3867707584087 \tabularnewline
Winsorized Mean ( 18 / 31 ) & 16829.8526315789 & 502.56837032013 & 33.4876876968173 \tabularnewline
Winsorized Mean ( 19 / 31 ) & 16699.6526315789 & 483.93283194922 & 34.5082034717811 \tabularnewline
Winsorized Mean ( 20 / 31 ) & 16665.7578947368 & 473.910328531062 & 35.1664795878035 \tabularnewline
Winsorized Mean ( 21 / 31 ) & 16536 & 454.366841003838 & 36.3935008185606 \tabularnewline
Winsorized Mean ( 22 / 31 ) & 16513.3052631579 & 449.871345071196 & 36.706728365961 \tabularnewline
Winsorized Mean ( 23 / 31 ) & 16485.7052631579 & 446.351769960978 & 36.9343337982039 \tabularnewline
Winsorized Mean ( 24 / 31 ) & 16596.1052631579 & 429.354597933669 & 38.6536101931342 \tabularnewline
Winsorized Mean ( 25 / 31 ) & 16516.3684210526 & 418.74639262109 & 39.442413623364 \tabularnewline
Winsorized Mean ( 26 / 31 ) & 16520.2 & 412.345509459401 & 40.0639745577891 \tabularnewline
Winsorized Mean ( 27 / 31 ) & 16508.8315789474 & 373.84650084386 & 44.1593850462235 \tabularnewline
Winsorized Mean ( 28 / 31 ) & 16487.6105263158 & 326.366804714306 & 50.5186504514412 \tabularnewline
Winsorized Mean ( 29 / 31 ) & 16614.9052631579 & 307.341840560949 & 54.0600174477806 \tabularnewline
Winsorized Mean ( 30 / 31 ) & 16716.9052631579 & 259.897097852727 & 64.3212463750969 \tabularnewline
Winsorized Mean ( 31 / 31 ) & 16953.8105263158 & 232.215773261777 & 73.0088670901945 \tabularnewline
Trimmed Mean ( 1 / 31 ) & 17874.0752688172 & 706.035395514057 & 25.3161178354285 \tabularnewline
Trimmed Mean ( 2 / 31 ) & 17797.2087912088 & 696.928014234456 & 25.5366528934243 \tabularnewline
Trimmed Mean ( 3 / 31 ) & 17712.808988764 & 686.926275770793 & 25.78560409396 \tabularnewline
Trimmed Mean ( 4 / 31 ) & 17625.7816091954 & 675.634569288506 & 26.0877438935025 \tabularnewline
Trimmed Mean ( 5 / 31 ) & 17536.8941176471 & 663.446654458302 & 26.4330131138664 \tabularnewline
Trimmed Mean ( 6 / 31 ) & 17445.9156626506 & 649.89968601478 & 26.8440130655085 \tabularnewline
Trimmed Mean ( 7 / 31 ) & 17445.9156626506 & 634.150357545796 & 27.5106927798124 \tabularnewline
Trimmed Mean ( 8 / 31 ) & 17261.6708860759 & 619.226319872487 & 27.8761905495725 \tabularnewline
Trimmed Mean ( 9 / 31 ) & 17170.961038961 & 602.542166734934 & 28.4975259607263 \tabularnewline
Trimmed Mean ( 10 / 31 ) & 17080.08 & 584.498569657387 & 29.2217652645613 \tabularnewline
Trimmed Mean ( 11 / 31 ) & 16989.2328767123 & 565.337174792746 & 30.0515048969504 \tabularnewline
Trimmed Mean ( 12 / 31 ) & 16894.1408450704 & 542.83926397914 & 31.1218107570782 \tabularnewline
Trimmed Mean ( 13 / 31 ) & 16831.6666666667 & 528.655310384817 & 31.8386410502802 \tabularnewline
Trimmed Mean ( 14 / 31 ) & 16831.6666666667 & 516.661303932953 & 32.5777574951712 \tabularnewline
Trimmed Mean ( 15 / 31 ) & 16737.7230769231 & 505.323347313615 & 33.1227978400437 \tabularnewline
Trimmed Mean ( 16 / 31 ) & 16700.0317460317 & 494.047148281587 & 33.8025061051732 \tabularnewline
Trimmed Mean ( 17 / 31 ) & 16663.4754098361 & 481.411364604946 & 34.6137973363183 \tabularnewline
Trimmed Mean ( 18 / 31 ) & 16635.4237288136 & 469.260755917908 & 35.4502768855526 \tabularnewline
Trimmed Mean ( 19 / 31 ) & 16617.4210526316 & 458.108534263462 & 36.2739827131768 \tabularnewline
Trimmed Mean ( 20 / 31 ) & 16609.9454545455 & 447.602846311003 & 37.10866807805 \tabularnewline
Trimmed Mean ( 21 / 31 ) & 16604.9433962264 & 436.243611632536 & 38.063464893128 \tabularnewline
Trimmed Mean ( 22 / 31 ) & 16611.0588235294 & 425.488154635023 & 39.0400029767647 \tabularnewline
Trimmed Mean ( 23 / 31 ) & 16619.6734693878 & 412.620904140599 & 40.2783118901913 \tabularnewline
Trimmed Mean ( 24 / 31 ) & 16631.4468085106 & 396.806658635157 & 41.9132251099708 \tabularnewline
Trimmed Mean ( 25 / 31 ) & 16634.5555555556 & 380.062290954538 & 43.7679715969121 \tabularnewline
Trimmed Mean ( 26 / 31 ) & 16645 & 360.534935402418 & 46.1675093466916 \tabularnewline
Trimmed Mean ( 27 / 31 ) & 16656.1219512195 & 336.156859790627 & 49.5486599963888 \tabularnewline
Trimmed Mean ( 28 / 31 ) & 16656.1219512195 & 313.740869114461 & 53.0887862911571 \tabularnewline
Trimmed Mean ( 29 / 31 ) & 16686.0810810811 & 296.368086355764 & 56.3018821839369 \tabularnewline
Trimmed Mean ( 30 / 31 ) & 16692.7428571429 & 277.933920998817 & 60.0601135592006 \tabularnewline
Trimmed Mean ( 31 / 31 ) & 16690.4242424242 & 266.287641493062 & 62.6781781867226 \tabularnewline
Median & 16050 &  &  \tabularnewline
Midrange & 21846.5 &  &  \tabularnewline
Midmean - Weighted Average at Xnp & 16396.3673469388 &  &  \tabularnewline
Midmean - Weighted Average at X(n+1)p & 16504.72 &  &  \tabularnewline
Midmean - Empirical Distribution Function & 16504.72 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Averaging & 16504.72 &  &  \tabularnewline
Midmean - Empirical Distribution Function - Interpolation & 16631.4468085106 &  &  \tabularnewline
Midmean - Closest Observation & 16396.3673469388 &  &  \tabularnewline
Midmean - True Basic - Statistics Graphics Toolkit & 16504.72 &  &  \tabularnewline
Midmean - MS Excel (old versions) & 16504.72 &  &  \tabularnewline
Number of observations & 95 &  &  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=121861&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]17957.7052631579[/C][C]716.532540742285[/C][C]25.0619535639718[/C][/ROW]
[ROW][C]Geometric Mean[/C][C]16733.8711176108[/C][C][/C][C][/C][/ROW]
[ROW][C]Harmonic Mean[/C][C]15661.3112154365[/C][C][/C][C][/C][/ROW]
[ROW][C]Quadratic Mean[/C][C]19254.6242035791[/C][C][/C][C][/C][/ROW]
[ROW][C]Winsorized Mean ( 1 / 31 )[/C][C]17947.7052631579[/C][C]713.89077019851[/C][C]25.1406882010356[/C][/ROW]
[ROW][C]Winsorized Mean ( 2 / 31 )[/C][C]17955.3473684211[/C][C]712.933016139978[/C][C]25.1851814433233[/C][/ROW]
[ROW][C]Winsorized Mean ( 3 / 31 )[/C][C]17951.9052631579[/C][C]712.161778126845[/C][C]25.2076225016957[/C][/ROW]
[ROW][C]Winsorized Mean ( 4 / 31 )[/C][C]17943.9052631579[/C][C]709.37430469382[/C][C]25.295397851918[/C][/ROW]
[ROW][C]Winsorized Mean ( 5 / 31 )[/C][C]17934.3263157895[/C][C]707.094038491592[/C][C]25.36342457935[/C][/ROW]
[ROW][C]Winsorized Mean ( 6 / 31 )[/C][C]17934.8315789474[/C][C]706.704588889895[/C][C]25.3781167702897[/C][/ROW]
[ROW][C]Winsorized Mean ( 7 / 31 )[/C][C]17866.5263157895[/C][C]692.162899358202[/C][C]25.8126032648614[/C][/ROW]
[ROW][C]Winsorized Mean ( 8 / 31 )[/C][C]17849.8526315789[/C][C]688.252893859213[/C][C]25.9350200933993[/C][/ROW]
[ROW][C]Winsorized Mean ( 9 / 31 )[/C][C]17816.6947368421[/C][C]680.562389314885[/C][C]26.1793702040719[/C][/ROW]
[ROW][C]Winsorized Mean ( 10 / 31 )[/C][C]17778.1684210526[/C][C]669.794348383987[/C][C]26.5427268294306[/C][/ROW]
[ROW][C]Winsorized Mean ( 11 / 31 )[/C][C]17770.9894736842[/C][C]667.869486464735[/C][C]26.6084764071978[/C][/ROW]
[ROW][C]Winsorized Mean ( 12 / 31 )[/C][C]17438.6526315789[/C][C]605.302938929315[/C][C]28.809793427445[/C][/ROW]
[ROW][C]Winsorized Mean ( 13 / 31 )[/C][C]17296.3368421053[/C][C]578.665967197401[/C][C]29.8900191519384[/C][/ROW]
[ROW][C]Winsorized Mean ( 14 / 31 )[/C][C]17195.3894736842[/C][C]561.588460481686[/C][C]30.6192001504721[/C][/ROW]
[ROW][C]Winsorized Mean ( 15 / 31 )[/C][C]17112.6526315789[/C][C]547.897608519894[/C][C]31.2333041164526[/C][/ROW]
[ROW][C]Winsorized Mean ( 16 / 31 )[/C][C]17075.6[/C][C]541.780010230059[/C][C]31.517589570625[/C][/ROW]
[ROW][C]Winsorized Mean ( 17 / 31 )[/C][C]16959.6421052632[/C][C]523.659559385365[/C][C]32.3867707584087[/C][/ROW]
[ROW][C]Winsorized Mean ( 18 / 31 )[/C][C]16829.8526315789[/C][C]502.56837032013[/C][C]33.4876876968173[/C][/ROW]
[ROW][C]Winsorized Mean ( 19 / 31 )[/C][C]16699.6526315789[/C][C]483.93283194922[/C][C]34.5082034717811[/C][/ROW]
[ROW][C]Winsorized Mean ( 20 / 31 )[/C][C]16665.7578947368[/C][C]473.910328531062[/C][C]35.1664795878035[/C][/ROW]
[ROW][C]Winsorized Mean ( 21 / 31 )[/C][C]16536[/C][C]454.366841003838[/C][C]36.3935008185606[/C][/ROW]
[ROW][C]Winsorized Mean ( 22 / 31 )[/C][C]16513.3052631579[/C][C]449.871345071196[/C][C]36.706728365961[/C][/ROW]
[ROW][C]Winsorized Mean ( 23 / 31 )[/C][C]16485.7052631579[/C][C]446.351769960978[/C][C]36.9343337982039[/C][/ROW]
[ROW][C]Winsorized Mean ( 24 / 31 )[/C][C]16596.1052631579[/C][C]429.354597933669[/C][C]38.6536101931342[/C][/ROW]
[ROW][C]Winsorized Mean ( 25 / 31 )[/C][C]16516.3684210526[/C][C]418.74639262109[/C][C]39.442413623364[/C][/ROW]
[ROW][C]Winsorized Mean ( 26 / 31 )[/C][C]16520.2[/C][C]412.345509459401[/C][C]40.0639745577891[/C][/ROW]
[ROW][C]Winsorized Mean ( 27 / 31 )[/C][C]16508.8315789474[/C][C]373.84650084386[/C][C]44.1593850462235[/C][/ROW]
[ROW][C]Winsorized Mean ( 28 / 31 )[/C][C]16487.6105263158[/C][C]326.366804714306[/C][C]50.5186504514412[/C][/ROW]
[ROW][C]Winsorized Mean ( 29 / 31 )[/C][C]16614.9052631579[/C][C]307.341840560949[/C][C]54.0600174477806[/C][/ROW]
[ROW][C]Winsorized Mean ( 30 / 31 )[/C][C]16716.9052631579[/C][C]259.897097852727[/C][C]64.3212463750969[/C][/ROW]
[ROW][C]Winsorized Mean ( 31 / 31 )[/C][C]16953.8105263158[/C][C]232.215773261777[/C][C]73.0088670901945[/C][/ROW]
[ROW][C]Trimmed Mean ( 1 / 31 )[/C][C]17874.0752688172[/C][C]706.035395514057[/C][C]25.3161178354285[/C][/ROW]
[ROW][C]Trimmed Mean ( 2 / 31 )[/C][C]17797.2087912088[/C][C]696.928014234456[/C][C]25.5366528934243[/C][/ROW]
[ROW][C]Trimmed Mean ( 3 / 31 )[/C][C]17712.808988764[/C][C]686.926275770793[/C][C]25.78560409396[/C][/ROW]
[ROW][C]Trimmed Mean ( 4 / 31 )[/C][C]17625.7816091954[/C][C]675.634569288506[/C][C]26.0877438935025[/C][/ROW]
[ROW][C]Trimmed Mean ( 5 / 31 )[/C][C]17536.8941176471[/C][C]663.446654458302[/C][C]26.4330131138664[/C][/ROW]
[ROW][C]Trimmed Mean ( 6 / 31 )[/C][C]17445.9156626506[/C][C]649.89968601478[/C][C]26.8440130655085[/C][/ROW]
[ROW][C]Trimmed Mean ( 7 / 31 )[/C][C]17445.9156626506[/C][C]634.150357545796[/C][C]27.5106927798124[/C][/ROW]
[ROW][C]Trimmed Mean ( 8 / 31 )[/C][C]17261.6708860759[/C][C]619.226319872487[/C][C]27.8761905495725[/C][/ROW]
[ROW][C]Trimmed Mean ( 9 / 31 )[/C][C]17170.961038961[/C][C]602.542166734934[/C][C]28.4975259607263[/C][/ROW]
[ROW][C]Trimmed Mean ( 10 / 31 )[/C][C]17080.08[/C][C]584.498569657387[/C][C]29.2217652645613[/C][/ROW]
[ROW][C]Trimmed Mean ( 11 / 31 )[/C][C]16989.2328767123[/C][C]565.337174792746[/C][C]30.0515048969504[/C][/ROW]
[ROW][C]Trimmed Mean ( 12 / 31 )[/C][C]16894.1408450704[/C][C]542.83926397914[/C][C]31.1218107570782[/C][/ROW]
[ROW][C]Trimmed Mean ( 13 / 31 )[/C][C]16831.6666666667[/C][C]528.655310384817[/C][C]31.8386410502802[/C][/ROW]
[ROW][C]Trimmed Mean ( 14 / 31 )[/C][C]16831.6666666667[/C][C]516.661303932953[/C][C]32.5777574951712[/C][/ROW]
[ROW][C]Trimmed Mean ( 15 / 31 )[/C][C]16737.7230769231[/C][C]505.323347313615[/C][C]33.1227978400437[/C][/ROW]
[ROW][C]Trimmed Mean ( 16 / 31 )[/C][C]16700.0317460317[/C][C]494.047148281587[/C][C]33.8025061051732[/C][/ROW]
[ROW][C]Trimmed Mean ( 17 / 31 )[/C][C]16663.4754098361[/C][C]481.411364604946[/C][C]34.6137973363183[/C][/ROW]
[ROW][C]Trimmed Mean ( 18 / 31 )[/C][C]16635.4237288136[/C][C]469.260755917908[/C][C]35.4502768855526[/C][/ROW]
[ROW][C]Trimmed Mean ( 19 / 31 )[/C][C]16617.4210526316[/C][C]458.108534263462[/C][C]36.2739827131768[/C][/ROW]
[ROW][C]Trimmed Mean ( 20 / 31 )[/C][C]16609.9454545455[/C][C]447.602846311003[/C][C]37.10866807805[/C][/ROW]
[ROW][C]Trimmed Mean ( 21 / 31 )[/C][C]16604.9433962264[/C][C]436.243611632536[/C][C]38.063464893128[/C][/ROW]
[ROW][C]Trimmed Mean ( 22 / 31 )[/C][C]16611.0588235294[/C][C]425.488154635023[/C][C]39.0400029767647[/C][/ROW]
[ROW][C]Trimmed Mean ( 23 / 31 )[/C][C]16619.6734693878[/C][C]412.620904140599[/C][C]40.2783118901913[/C][/ROW]
[ROW][C]Trimmed Mean ( 24 / 31 )[/C][C]16631.4468085106[/C][C]396.806658635157[/C][C]41.9132251099708[/C][/ROW]
[ROW][C]Trimmed Mean ( 25 / 31 )[/C][C]16634.5555555556[/C][C]380.062290954538[/C][C]43.7679715969121[/C][/ROW]
[ROW][C]Trimmed Mean ( 26 / 31 )[/C][C]16645[/C][C]360.534935402418[/C][C]46.1675093466916[/C][/ROW]
[ROW][C]Trimmed Mean ( 27 / 31 )[/C][C]16656.1219512195[/C][C]336.156859790627[/C][C]49.5486599963888[/C][/ROW]
[ROW][C]Trimmed Mean ( 28 / 31 )[/C][C]16656.1219512195[/C][C]313.740869114461[/C][C]53.0887862911571[/C][/ROW]
[ROW][C]Trimmed Mean ( 29 / 31 )[/C][C]16686.0810810811[/C][C]296.368086355764[/C][C]56.3018821839369[/C][/ROW]
[ROW][C]Trimmed Mean ( 30 / 31 )[/C][C]16692.7428571429[/C][C]277.933920998817[/C][C]60.0601135592006[/C][/ROW]
[ROW][C]Trimmed Mean ( 31 / 31 )[/C][C]16690.4242424242[/C][C]266.287641493062[/C][C]62.6781781867226[/C][/ROW]
[ROW][C]Median[/C][C]16050[/C][C][/C][C][/C][/ROW]
[ROW][C]Midrange[/C][C]21846.5[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at Xnp[/C][C]16396.3673469388[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Weighted Average at X(n+1)p[/C][C]16504.72[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function[/C][C]16504.72[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Averaging[/C][C]16504.72[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Empirical Distribution Function - Interpolation[/C][C]16631.4468085106[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - Closest Observation[/C][C]16396.3673469388[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - True Basic - Statistics Graphics Toolkit[/C][C]16504.72[/C][C][/C][C][/C][/ROW]
[ROW][C]Midmean - MS Excel (old versions)[/C][C]16504.72[/C][C][/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]95[/C][C][/C][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=121861&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=121861&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 Mean17957.7052631579716.53254074228525.0619535639718
Geometric Mean16733.8711176108
Harmonic Mean15661.3112154365
Quadratic Mean19254.6242035791
Winsorized Mean ( 1 / 31 )17947.7052631579713.8907701985125.1406882010356
Winsorized Mean ( 2 / 31 )17955.3473684211712.93301613997825.1851814433233
Winsorized Mean ( 3 / 31 )17951.9052631579712.16177812684525.2076225016957
Winsorized Mean ( 4 / 31 )17943.9052631579709.3743046938225.295397851918
Winsorized Mean ( 5 / 31 )17934.3263157895707.09403849159225.36342457935
Winsorized Mean ( 6 / 31 )17934.8315789474706.70458888989525.3781167702897
Winsorized Mean ( 7 / 31 )17866.5263157895692.16289935820225.8126032648614
Winsorized Mean ( 8 / 31 )17849.8526315789688.25289385921325.9350200933993
Winsorized Mean ( 9 / 31 )17816.6947368421680.56238931488526.1793702040719
Winsorized Mean ( 10 / 31 )17778.1684210526669.79434838398726.5427268294306
Winsorized Mean ( 11 / 31 )17770.9894736842667.86948646473526.6084764071978
Winsorized Mean ( 12 / 31 )17438.6526315789605.30293892931528.809793427445
Winsorized Mean ( 13 / 31 )17296.3368421053578.66596719740129.8900191519384
Winsorized Mean ( 14 / 31 )17195.3894736842561.58846048168630.6192001504721
Winsorized Mean ( 15 / 31 )17112.6526315789547.89760851989431.2333041164526
Winsorized Mean ( 16 / 31 )17075.6541.78001023005931.517589570625
Winsorized Mean ( 17 / 31 )16959.6421052632523.65955938536532.3867707584087
Winsorized Mean ( 18 / 31 )16829.8526315789502.5683703201333.4876876968173
Winsorized Mean ( 19 / 31 )16699.6526315789483.9328319492234.5082034717811
Winsorized Mean ( 20 / 31 )16665.7578947368473.91032853106235.1664795878035
Winsorized Mean ( 21 / 31 )16536454.36684100383836.3935008185606
Winsorized Mean ( 22 / 31 )16513.3052631579449.87134507119636.706728365961
Winsorized Mean ( 23 / 31 )16485.7052631579446.35176996097836.9343337982039
Winsorized Mean ( 24 / 31 )16596.1052631579429.35459793366938.6536101931342
Winsorized Mean ( 25 / 31 )16516.3684210526418.7463926210939.442413623364
Winsorized Mean ( 26 / 31 )16520.2412.34550945940140.0639745577891
Winsorized Mean ( 27 / 31 )16508.8315789474373.8465008438644.1593850462235
Winsorized Mean ( 28 / 31 )16487.6105263158326.36680471430650.5186504514412
Winsorized Mean ( 29 / 31 )16614.9052631579307.34184056094954.0600174477806
Winsorized Mean ( 30 / 31 )16716.9052631579259.89709785272764.3212463750969
Winsorized Mean ( 31 / 31 )16953.8105263158232.21577326177773.0088670901945
Trimmed Mean ( 1 / 31 )17874.0752688172706.03539551405725.3161178354285
Trimmed Mean ( 2 / 31 )17797.2087912088696.92801423445625.5366528934243
Trimmed Mean ( 3 / 31 )17712.808988764686.92627577079325.78560409396
Trimmed Mean ( 4 / 31 )17625.7816091954675.63456928850626.0877438935025
Trimmed Mean ( 5 / 31 )17536.8941176471663.44665445830226.4330131138664
Trimmed Mean ( 6 / 31 )17445.9156626506649.8996860147826.8440130655085
Trimmed Mean ( 7 / 31 )17445.9156626506634.15035754579627.5106927798124
Trimmed Mean ( 8 / 31 )17261.6708860759619.22631987248727.8761905495725
Trimmed Mean ( 9 / 31 )17170.961038961602.54216673493428.4975259607263
Trimmed Mean ( 10 / 31 )17080.08584.49856965738729.2217652645613
Trimmed Mean ( 11 / 31 )16989.2328767123565.33717479274630.0515048969504
Trimmed Mean ( 12 / 31 )16894.1408450704542.8392639791431.1218107570782
Trimmed Mean ( 13 / 31 )16831.6666666667528.65531038481731.8386410502802
Trimmed Mean ( 14 / 31 )16831.6666666667516.66130393295332.5777574951712
Trimmed Mean ( 15 / 31 )16737.7230769231505.32334731361533.1227978400437
Trimmed Mean ( 16 / 31 )16700.0317460317494.04714828158733.8025061051732
Trimmed Mean ( 17 / 31 )16663.4754098361481.41136460494634.6137973363183
Trimmed Mean ( 18 / 31 )16635.4237288136469.26075591790835.4502768855526
Trimmed Mean ( 19 / 31 )16617.4210526316458.10853426346236.2739827131768
Trimmed Mean ( 20 / 31 )16609.9454545455447.60284631100337.10866807805
Trimmed Mean ( 21 / 31 )16604.9433962264436.24361163253638.063464893128
Trimmed Mean ( 22 / 31 )16611.0588235294425.48815463502339.0400029767647
Trimmed Mean ( 23 / 31 )16619.6734693878412.62090414059940.2783118901913
Trimmed Mean ( 24 / 31 )16631.4468085106396.80665863515741.9132251099708
Trimmed Mean ( 25 / 31 )16634.5555555556380.06229095453843.7679715969121
Trimmed Mean ( 26 / 31 )16645360.53493540241846.1675093466916
Trimmed Mean ( 27 / 31 )16656.1219512195336.15685979062749.5486599963888
Trimmed Mean ( 28 / 31 )16656.1219512195313.74086911446153.0887862911571
Trimmed Mean ( 29 / 31 )16686.0810810811296.36808635576456.3018821839369
Trimmed Mean ( 30 / 31 )16692.7428571429277.93392099881760.0601135592006
Trimmed Mean ( 31 / 31 )16690.4242424242266.28764149306262.6781781867226
Median16050
Midrange21846.5
Midmean - Weighted Average at Xnp16396.3673469388
Midmean - Weighted Average at X(n+1)p16504.72
Midmean - Empirical Distribution Function16504.72
Midmean - Empirical Distribution Function - Averaging16504.72
Midmean - Empirical Distribution Function - Interpolation16631.4468085106
Midmean - Closest Observation16396.3673469388
Midmean - True Basic - Statistics Graphics Toolkit16504.72
Midmean - MS Excel (old versions)16504.72
Number of observations95



Parameters (Session):
par1 = Goudkoers Brussel 2003-2011 ; par2 = http://www.nbb.be/belgostat/PresentationLinker?TableId=751000059&Lang=N ; par3 = Goudkoers Brussel (EUR/kg) ; par4 = 12 ;
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')