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Various measures of Central Tendency

*The author of this computation has been verified*
R Software Module: /rwasp_centraltendency.wasp (opens new window with default values)
Title produced by software: Central Tendency
Date of computation: Sun, 23 Jan 2011 20:29:34 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2011/Jan/23/t12958145420cl4qn2cio3mrhd.htm/, Retrieved Sun, 23 Jan 2011 21:29:02 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2011/Jan/23/t12958145420cl4qn2cio3mrhd.htm/},
    year = {2011},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2011},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
Which measure should we use?
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
6282929 4324047 4108272 -1212617 1485329 1779876 1367203 2519076 912684 1443586 1220017 984885 1457425 -572920 929144 1151176 790090 774497 990576 454195 876607 711969 702380 264449 450033 541063 588864 -37216 783310 467359 688779 608419 696348 597793 821730 377934 651939 697458 700368 225986 348695 373683 501709 413743 379825 336260 636765 481231 469107 211928 563925 511939 521016 543856 329304 423262 509665 455881 367772 406339 493408 232942 416002 337430 361517 360962 235561 408247 450296 418799 247405 378519 326638 328233 386225 283662 370225 269236 365732 420383 345811 431809 418876 297476 416776 357257 458343 388386 358934 407560 392558 373177 428370 369419 358649 376641 467427 364885 436230 329118 317365 286849 376685 407198 377772 271483 153661 513294 324881 264512 420968 129302 191521 268673 353179 354624 363713 456657 211742 338381 418530 351483 372928 485538 279268 219060 32 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Central Tendency - Ungrouped Data
MeasureValueS.E.Value/S.E.
Arithmetic Mean399177.63573085821551.312027029718.5221964783494
Geometric MeanNaN
Harmonic Mean354098.181604663
Quadratic Mean599216.3018517
Winsorized Mean ( 1 / 143 )396116.88167053418757.51534880921.117769294305
Winsorized Mean ( 2 / 143 )396392.70069605618141.532930727421.8500113639605
Winsorized Mean ( 3 / 143 )386857.67749420013215.920696209129.2720943464172
Winsorized Mean ( 4 / 143 )380185.12064965210858.962279326935.0111834694778
Winsorized Mean ( 5 / 143 )377010.8747099779874.4968943803638.1802616115598
Winsorized Mean ( 6 / 143 )377436.5684454769698.977534411238.9150884313693
Winsorized Mean ( 7 / 143 )378966.433874719511.942067158339.8411208982401
Winsorized Mean ( 8 / 143 )378000.7911832959121.7782808680441.4393750367854
Winsorized Mean ( 9 / 143 )375299.6635730868350.3213626085544.9443377417329
Winsorized Mean ( 10 / 143 )374167.1113689107955.2701437070747.0338661805081
Winsorized Mean ( 11 / 143 )370225.640371237059.4933652814252.4436558283345
Winsorized Mean ( 12 / 143 )370458.5127610217005.710942094752.8795029973438
Winsorized Mean ( 13 / 143 )368782.8399071936669.5198566681855.2937614449838
Winsorized Mean ( 14 / 143 )368479.8422273786553.1722592549356.2292318360746
Winsorized Mean ( 15 / 143 )367465.3062645016301.2123440022658.3166042030419
Winsorized Mean ( 16 / 143 )365466.9767981445925.0492512957161.6816774507355
Winsorized Mean ( 17 / 143 )364452.0649651975692.1320510416364.0273383851846
Winsorized Mean ( 18 / 143 )364258.9512761025638.2226219432264.6052800147434
Winsorized Mean ( 19 / 143 )363890.8538283065570.2541058727165.3275141334498
Winsorized Mean ( 20 / 143 )361133.8236658935079.9054979718571.090657849851
Winsorized Mean ( 21 / 143 )360773.5104408354999.2818977782572.1650664670796
Winsorized Mean ( 22 / 143 )360812.7633410674975.1251115974372.5233547393577
Winsorized Mean ( 23 / 143 )360857.8561484924939.6573771007873.0532157597313
Winsorized Mean ( 24 / 143 )361220.4733178654907.8364772647573.600755646851
Winsorized Mean ( 25 / 143 )361137.9327146174820.7098171503874.9138501201246
Winsorized Mean ( 26 / 143 )359113.1902552204465.7628537421380.4147470469235
Winsorized Mean ( 27 / 143 )358166.5614849194321.8162687076182.8740833057266
Winsorized Mean ( 28 / 143 )356595.3781902554036.3819966559988.345299945764
Winsorized Mean ( 29 / 143 )355918.2853828313931.4259236828890.5316015847536
Winsorized Mean ( 30 / 143 )355453.1809744783834.9805836588492.6870875146258
Winsorized Mean ( 31 / 143 )354216.6334106733557.0508780721499.5815481848414
Winsorized Mean ( 32 / 143 )352729.4129930393355.98842190724105.104478516818
Winsorized Mean ( 33 / 143 )352851.9953596293310.950679479106.571202508868
Winsorized Mean ( 34 / 143 )352386.8027842233214.66659860789109.618460258623
Winsorized Mean ( 35 / 143 )351496.5359628773089.66173228896113.765378355019
Winsorized Mean ( 36 / 143 )351047.6635730862998.44478893684117.076580788922
Winsorized Mean ( 37 / 143 )351105.095127612975.58092184031117.995478647733
Winsorized Mean ( 38 / 143 )351456.0881670532925.6266710317120.130190104917
Winsorized Mean ( 39 / 143 )350761.9605568452834.65675215022123.740541175144
Winsorized Mean ( 40 / 143 )350081.5893271462736.09348070478127.949425630359
Winsorized Mean ( 41 / 143 )349400.9512761022642.65427685068132.215914255909
Winsorized Mean ( 42 / 143 )349007.4570765662591.45406200858134.676304779278
Winsorized Mean ( 43 / 143 )347864.3155452442446.97388781235142.161024797956
Winsorized Mean ( 44 / 143 )347774.9883990722423.55522488969143.497860014682
Winsorized Mean ( 45 / 143 )347824.7911832952420.20781142418143.716911226154
Winsorized Mean ( 46 / 143 )346913.7563805102308.62140712421150.268794749093
Winsorized Mean ( 47 / 143 )346807.7610208822284.53056436587151.807012972552
Winsorized Mean ( 48 / 143 )347001.6542923432262.61348060734153.363204659772
Winsorized Mean ( 49 / 143 )346913.3178654292236.81149180606155.092782353922
Winsorized Mean ( 50 / 143 )346518.1902552202184.17917548248158.649159439346
Winsorized Mean ( 51 / 143 )346512.8654292342179.65342118093158.976129903026
Winsorized Mean ( 52 / 143 )344869.6171693741998.04598090239172.603443797433
Winsorized Mean ( 53 / 143 )344382.5336426911938.13644362353177.687455790695
Winsorized Mean ( 54 / 143 )344022.5754060321890.0544227648182.017285461437
Winsorized Mean ( 55 / 143 )343706.4849187931808.40218798238190.060865444022
Winsorized Mean ( 56 / 143 )343481.4454756381774.95206539782193.515899483547
Winsorized Mean ( 57 / 143 )343421.2714617171766.38428936626194.420474371932
Winsorized Mean ( 58 / 143 )343247.1368909511744.68643686456196.738582726541
Winsorized Mean ( 59 / 143 )343245.7679814381743.23982395491196.901059317651
Winsorized Mean ( 60 / 143 )343264.1438515081737.13980969030197.603061041302
Winsorized Mean ( 61 / 143 )343261.8793503481733.43096131671198.02454612303
Winsorized Mean ( 62 / 143 )343146.7981438521706.27653453025201.108549053757
Winsorized Mean ( 63 / 143 )343152.3526682131690.12936075493203.03318824953
Winsorized Mean ( 64 / 143 )342936.7424593971651.82375565149207.610976223150
Winsorized Mean ( 65 / 143 )342194.8979118331566.39935911437218.459549233542
Winsorized Mean ( 66 / 143 )342288.6148491881548.30652522904221.072900793048
Winsorized Mean ( 67 / 143 )342314.1090487241539.67081694436222.329413067711
Winsorized Mean ( 68 / 143 )342199.2505800461525.62171087704224.301508126366
Winsorized Mean ( 69 / 143 )341998.0139211141492.96072528116229.073684344045
Winsorized Mean ( 70 / 143 )340070.3341067291307.78496940281260.035359071315
Winsorized Mean ( 71 / 143 )339431.4988399071242.29825961102273.22866808667
Winsorized Mean ( 72 / 143 )339397.5870069611234.70660989599274.881161473293
Winsorized Mean ( 73 / 143 )339356.2598607891230.88291454860275.701495121687
Winsorized Mean ( 74 / 143 )339396.4361948961229.08367888855276.137778106213
Winsorized Mean ( 75 / 143 )339278.1067285381199.83174258146282.771404262546
Winsorized Mean ( 76 / 143 )338614.3851508121138.75961854508297.353699267488
Winsorized Mean ( 77 / 143 )338152.9211136891097.72578632142308.048626831360
Winsorized Mean ( 78 / 143 )337941.1809744781075.96127711101314.083032692274
Winsorized Mean ( 79 / 143 )337834.6867749421066.54243332476316.756911135546
Winsorized Mean ( 80 / 143 )337817.4245939681063.41027489480317.673651053809
Winsorized Mean ( 81 / 143 )337697.7099767981050.42362331808321.487162398421
Winsorized Mean ( 82 / 143 )337689.1484918791042.52743154388323.913921374514
Winsorized Mean ( 83 / 143 )337743.6473317871039.35572632921324.954814579825
Winsorized Mean ( 84 / 143 )337254.459396752986.14869727808341.99148701167
Winsorized Mean ( 85 / 143 )337400.004640371973.781615637621346.484262202307
Winsorized Mean ( 86 / 143 )337361.693735499969.755668611673347.88318816272
Winsorized Mean ( 87 / 143 )337325.35962877964.930711109346349.585059056686
Winsorized Mean ( 88 / 143 )337247.364269142955.24913714267353.046499762263
Winsorized Mean ( 89 / 143 )336872.160092807913.607817012466368.727318024043
Winsorized Mean ( 90 / 143 )336723.064965197898.647300755493374.699912504176
Winsorized Mean ( 91 / 143 )336742.489559165896.85094852452375.472078290341
Winsorized Mean ( 92 / 143 )336428.707656613866.9402835102388.064453868067
Winsorized Mean ( 93 / 143 )336011.610208817829.254168936402405.197372284283
Winsorized Mean ( 94 / 143 )335866.575406032812.451702174445413.398820517108
Winsorized Mean ( 95 / 143 )335619.707656613790.63579742351424.493437750119
Winsorized Mean ( 96 / 143 )335138.148491879750.145927969565446.763937516803
Winsorized Mean ( 97 / 143 )335117.893271462736.170026136569455.218062911588
Winsorized Mean ( 98 / 143 )334692.013921114697.449329519472479.880042542602
Winsorized Mean ( 99 / 143 )334636.197215777691.817763944237483.705702073805
Winsorized Mean ( 100 / 143 )334370.767981438663.792895941426503.727548194405
Winsorized Mean ( 101 / 143 )334328.821345708654.277525118396510.989310362156
Winsorized Mean ( 102 / 143 )334203.392111369642.214603627026520.392078012386
Winsorized Mean ( 103 / 143 )334102.303944316634.154402654259526.846935929053
Winsorized Mean ( 104 / 143 )333881.515081207608.824264754596548.403758539071
Winsorized Mean ( 105 / 143 )333608.417633411584.873655827747570.393989042417
Winsorized Mean ( 106 / 143 )333568.575406032579.624938165623575.490379109116
Winsorized Mean ( 107 / 143 )333197.923433875544.910308007772611.472968188229
Winsorized Mean ( 108 / 143 )332775.445475638510.193962280854652.252809868515
Winsorized Mean ( 109 / 143 )332694.011600928502.726428686343661.779434334255
Winsorized Mean ( 110 / 143 )332556.192575406488.441081916247680.852215114103
Winsorized Mean ( 111 / 143 )332564.691415313487.672114547441681.943218598695
Winsorized Mean ( 112 / 143 )332197.767981438459.468741317131723.004065584848
Winsorized Mean ( 113 / 143 )331909.368909513437.06027254174759.413265770604
Winsorized Mean ( 114 / 143 )331821.554524362430.357209632332771.03751743313
Winsorized Mean ( 115 / 143 )331672.935034803419.110703701882791.3730957125
Winsorized Mean ( 116 / 143 )331411.598607889399.472489007305829.623084762236
Winsorized Mean ( 117 / 143 )331320.116009281392.624682950395843.859620642192
Winsorized Mean ( 118 / 143 )331122.171693736377.852452629319876.326643878035
Winsorized Mean ( 119 / 143 )330830.331786543356.184703106102928.816787755182
Winsorized Mean ( 120 / 143 )330389.032482599323.6916250956231020.69070333530
Winsorized Mean ( 121 / 143 )330224.798143852311.6926253309301059.45656491951
Winsorized Mean ( 122 / 143 )329767.935034803278.604702127191183.64095263638
Winsorized Mean ( 123 / 143 )329715.424593968274.8327284873721199.69490682081
Winsorized Mean ( 124 / 143 )329579.341067285265.0872858192601243.28611252973
Winsorized Mean ( 125 / 143 )329494.07424594259.0030320944801272.16299972019
Winsorized Mean ( 126 / 143 )329281.832946636243.9304313728941349.90058884152
Winsorized Mean ( 127 / 143 )329151.002320186234.6930821867091402.47424105296
Winsorized Mean ( 128 / 143 )329062.501160093228.4680743162141440.29970990454
Winsorized Mean ( 129 / 143 )328909.856148492217.7751908777421510.31830036664
Winsorized Mean ( 130 / 143 )328814.844547564211.1482276985581557.27020838172
Winsorized Mean ( 131 / 143 )328551.932714617192.9266277759651702.98904045608
Winsorized Mean ( 132 / 143 )328524.981438515191.0692867674541719.40235396574
Winsorized Mean ( 133 / 143 )328302.491879350175.8102927565051867.36786983254
Winsorized Mean ( 134 / 143 )328286.324825986174.7070656552221879.06724662097
Winsorized Mean ( 135 / 143 )328145.373549884165.1187175512311987.32995517647
Winsorized Mean ( 136 / 143 )327905.874709977148.9603358287532201.29655915211
Winsorized Mean ( 137 / 143 )327882.352668213147.3836015084552224.68679902224
Winsorized Mean ( 138 / 143 )327845.531322506144.9189502766492262.26818988581
Winsorized Mean ( 139 / 143 )327785.86774942140.9340254624782325.81072366154
Winsorized Mean ( 140 / 143 )327784.568445476140.8473641223082327.23253635642
Winsorized Mean ( 141 / 143 )327765.921113689139.6040690881242347.8249828577
Winsorized Mean ( 142 / 143 )327682.56612529134.0558571123372444.37336184943
Winsorized Mean ( 143 / 143 )327673.939675174133.4825556141162454.80720808527
Trimmed Mean ( 1 / 143 )389219.69463869516305.908215063523.8698568338029
Trimmed Mean ( 2 / 143 )382257.89695550413344.015405365928.6463920599034
Trimmed Mean ( 3 / 143 )375090.7210000.723129215437.5063598055462
Trimmed Mean ( 4 / 143 )371094.2198581568603.6608429721143.1321302212051
Trimmed Mean ( 5 / 143 )368767.5106888367902.5123610747546.6645914412316
Trimmed Mean ( 6 / 143 )367071.620525067414.9700296097849.5041273341973
Trimmed Mean ( 7 / 143 )365286.1318944846925.3663105375252.746109810635
Trimmed Mean ( 8 / 143 )363256.4554216876428.2990477036956.5089540368302
Trimmed Mean ( 9 / 143 )361333.087167075961.049789573860.6156801104164
Trimmed Mean ( 10 / 143 )359705.7299270075593.321675787964.3098592888165
Trimmed Mean ( 11 / 143 )358181.8044009785259.5830946450768.1007977163918
Trimmed Mean ( 12 / 143 )357022.3464373465035.5412202102970.9004912926593
Trimmed Mean ( 13 / 143 )355830.7851851854802.7304222535274.0892687910274
Trimmed Mean ( 14 / 143 )354765.2506203474597.4458901369577.1657261657907
Trimmed Mean ( 15 / 143 )353712.3491271824392.0321725080980.5350086780427
Trimmed Mean ( 16 / 143 )352721.9523809524202.035544545583.9407350656058
Trimmed Mean ( 17 / 143 )351857.1687657434041.5495180553287.059967270931
Trimmed Mean ( 18 / 143 )351048.7696202533895.335265285890.1202966401139
Trimmed Mean ( 19 / 143 )350243.9083969473745.2469067418393.5169074611533
Trimmed Mean ( 20 / 143 )349452.1687979543592.0360311159397.2852626674212
Trimmed Mean ( 21 / 143 )348805.0231362473476.03421391172100.345681794577
Trimmed Mean ( 22 / 143 )348170.2971576233360.39731889337103.609860417423
Trimmed Mean ( 23 / 143 )347526.9792207793239.7595581172107.269373849072
Trimmed Mean ( 24 / 143 )346874.7362924283114.40283608292111.377607377440
Trimmed Mean ( 25 / 143 )346198.5538057742983.06915084062116.054484928121
Trimmed Mean ( 26 / 143 )345518.989445912849.92981075058121.237718958037
Trimmed Mean ( 27 / 143 )344921.244031832738.41702207046125.956434411528
Trimmed Mean ( 28 / 143 )344357.4186666672631.53828807528130.857840916512
Trimmed Mean ( 29 / 143 )343852.3860589812540.68141263152135.338647478369
Trimmed Mean ( 30 / 143 )343369.0323450132452.34090087188140.016843589297
Trimmed Mean ( 31 / 143 )342898.5474254742365.78797963007144.940523148271
Trimmed Mean ( 32 / 143 )342469.7792915532294.30282598924149.269649765562
Trimmed Mean ( 33 / 143 )342091.1917808222232.94272615291153.201955327445
Trimmed Mean ( 34 / 143 )341704.0220385682171.06670789997157.389923025023
Trimmed Mean ( 35 / 143 )341328.8975069252112.15270235539161.602377103838
Trimmed Mean ( 36 / 143 )340980.130919222058.26367718040165.663969441625
Trimmed Mean ( 37 / 143 )340642.5098039222007.25458857228169.705682449686
Trimmed Mean ( 38 / 143 )340299.21954.84124059205174.080223464559
Trimmed Mean ( 39 / 143 )339940.7223796031902.34462664411178.695656727187
Trimmed Mean ( 40 / 143 )339600.0142450141852.70169263593183.299888802848
Trimmed Mean ( 41 / 143 )339276.4068767911806.42651215095187.816334954477
Trimmed Mean ( 42 / 143 )338969.6887608071763.31838327082192.233967488075
Trimmed Mean ( 43 / 143 )338671.118840581720.96701716905196.791173486686
Trimmed Mean ( 44 / 143 )338402.4723032071684.83628176412200.851842974844
Trimmed Mean ( 45 / 143 )338133.2404692081648.14231861215205.160219873452
Trimmed Mean ( 46 / 143 )337859.4247787611609.67054509564209.893524987553
Trimmed Mean ( 47 / 143 )337607.68842731575.53784780258214.280912958178
Trimmed Mean ( 48 / 143 )337355.8477611941540.93640849510218.929117322018
Trimmed Mean ( 49 / 143 )337095.7537537541505.54018623787223.903524353016
Trimmed Mean ( 50 / 143 )336834.8640483381469.61627004651229.199193635546
Trimmed Mean ( 51 / 143 )336581.1550151981434.68594943013234.602670465192
Trimmed Mean ( 52 / 143 )336324.4801223241398.03427055663240.569553411888
Trimmed Mean ( 53 / 143 )336106.5538461541369.56272288339245.411581543734
Trimmed Mean ( 54 / 143 )335898.1919504641342.79050053542250.149365680297
Trimmed Mean ( 55 / 143 )335696.1838006231317.13929556109254.867639992184
Trimmed Mean ( 56 / 143 )335499.4075235111294.19572563072259.233901703706
Trimmed Mean ( 57 / 143 )335305.6119873821271.75803847990263.655193709776
Trimmed Mean ( 58 / 143 )335110.81248.60727566695268.387672033225
Trimmed Mean ( 59 / 143 )334917.6325878591225.36060878289273.321690110900
Trimmed Mean ( 60 / 143 )334722.0128617361200.95876750549278.712327115932
Trimmed Mean ( 61 / 143 )334523.4336569581175.51701258560284.575578299083
Trimmed Mean ( 62 / 143 )334322.3192182411148.83809769498291.00908116559
Trimmed Mean ( 63 / 143 )334121.1901639341122.03411450313297.78166799491
Trimmed Mean ( 64 / 143 )333917.2805280531094.46053360931305.09759856471
Trimmed Mean ( 65 / 143 )333715.4850498341067.28897432684312.675847944851
Trimmed Mean ( 66 / 143 )333527.4414715721043.16720950274319.725772084573
Trimmed Mean ( 67 / 143 )333334.8047138051018.44994321761327.296208256141
Trimmed Mean ( 68 / 143 )333139992.64881549807335.606102378559
Trimmed Mean ( 69 / 143 )332943.006825939966.0250550139344.652558541712
Trimmed Mean ( 70 / 143 )332748.639175258939.504552849102354.174589326021
Trimmed Mean ( 71 / 143 )332592.650519031921.564037742159360.900205409367
Trimmed Mean ( 72 / 143 )332448905.923702288213366.971301402415
Trimmed Mean ( 73 / 143 )332302.031578947889.779728454307373.465500451680
Trimmed Mean ( 74 / 143 )332154.862190813872.927140210567380.506971189704
Trimmed Mean ( 75 / 143 )332004.765124555855.163071009579388.235620058524
Trimmed Mean ( 76 / 143 )331854.953405018837.7778007555396.113328743915
Trimmed Mean ( 77 / 143 )331716.566787004822.5631674487403.271845754863
Trimmed Mean ( 78 / 143 )331585.56808.572967972362410.087367663934
Trimmed Mean ( 79 / 143 )331456.919413919794.869531159862416.995376499414
Trimmed Mean ( 80 / 143 )331328.52398524780.863017425574424.310687779268
Trimmed Mean ( 81 / 143 )331198.565055762766.193232623481432.265061806566
Trimmed Mean ( 82 / 143 )331069.04494382751.318234889297440.650884764698
Trimmed Mean ( 83 / 143 )330937.739622642735.911863607456449.697519483349
Trimmed Mean ( 84 / 143 )330803.36121673719.659309691351459.666618303883
Trimmed Mean ( 85 / 143 )330676.540229885705.21379838094468.902538477078
Trimmed Mean ( 86 / 143 )330544.911196911690.330020499385478.821580086862
Trimmed Mean ( 87 / 143 )330411.980544747674.708956485805489.710381592805
Trimmed Mean ( 88 / 143 )330277.670588235658.316711969349501.700267642017
Trimmed Mean ( 89 / 143 )330142.747035573641.350562809742514.761763970745
Trimmed Mean ( 90 / 143 )330012.912350598625.587415735197527.524857517735
Trimmed Mean ( 91 / 143 )329883.859437751609.602048897864541.146244560968
Trimmed Mean ( 92 / 143 )329752.344129555592.556343041928556.491121902009
Trimmed Mean ( 93 / 143 )329624.681632653576.093234590466572.172457235984
Trimmed Mean ( 94 / 143 )329502.872427984560.739461136155587.622051354035
Trimmed Mean ( 95 / 143 )329381.800829876545.260939639617604.081049795308
Trimmed Mean ( 96 / 143 )329263.389121339529.997915920025621.254120499265
Trimmed Mean ( 97 / 143 )329152.101265823516.138775178006637.720158018171
Trimmed Mean ( 98 / 143 )329039.302127660501.992212822004655.466944951056
Trimmed Mean ( 99 / 143 )328932.605150215489.182605586695672.412717446716
Trimmed Mean ( 100 / 143 )328825.112554113475.762594456613691.153773721274
Trimmed Mean ( 101 / 143 )328720.737991266463.040430882691709.918002980059
Trimmed Mean ( 102 / 143 )328615.312775330449.881615787224730.448414079566
Trimmed Mean ( 103 / 143 )328510.368888889436.462450301806752.665821909146
Trimmed Mean ( 104 / 143 )328405.439461883422.508505402642777.275333543688
Trimmed Mean ( 105 / 143 )328302.751131222409.053276024948802.591668062325
Trimmed Mean ( 106 / 143 )328203.305936073396.121458082595828.54210303255
Trimmed Mean ( 107 / 143 )328102.774193548382.435019639662857.930778678933
Trimmed Mean ( 108 / 143 )328007.31627907369.994492886318886.519455249976
Trimmed Mean ( 109 / 143 )327917.981220657358.939716930111913.57396730913
Trimmed Mean ( 110 / 143 )327828.478672986347.462916022268943.491991680562
Trimmed Mean ( 111 / 143 )327828.478672986335.973019012717975.758349989934
Trimmed Mean ( 112 / 143 )327649.342995169323.4813971636481012.88465385666
Trimmed Mean ( 113 / 143 )327563.96097561312.0207624273481049.81462908860
Trimmed Mean ( 114 / 143 )327482.315270936301.2286778012181087.15517281207
Trimmed Mean ( 115 / 143 )327482.315270936289.9585229597571129.41089617975
Trimmed Mean ( 116 / 143 )327320.236180904278.5165855919751175.22708920619
Trimmed Mean ( 117 / 143 )327243.07106599267.5759412030691222.99138552833
Trimmed Mean ( 118 / 143 )327166.051282051256.1201697557761277.39276291290
Trimmed Mean ( 119 / 143 )327166.051282051244.7693433204721336.63001601348
Trimmed Mean ( 120 / 143 )327020.277486911234.1459911508981396.6511913337
Trimmed Mean ( 121 / 143 )326956.259259259225.2497092266861451.52799700273
Trimmed Mean ( 122 / 143 )326894216.4872952579611509.99161225827
Trimmed Mean ( 123 / 143 )326894209.6266707983071559.41034962351
Trimmed Mean ( 124 / 143 )326784.043715847202.4172835258331614.40781154511
Trimmed Mean ( 125 / 143 )326730.364640884195.3209700370381672.78692389725
Trimmed Mean ( 126 / 143 )326677.12849162188.0372568985831737.30001107074
Trimmed Mean ( 127 / 143 )326677.12849162181.3341432182891801.52023603392
Trimmed Mean ( 128 / 143 )326577.84174.7610329500451868.71085897822
Trimmed Mean ( 129 / 143 )326529.479768786168.0649802457301942.87637609788
Trimmed Mean ( 130 / 143 )326482.970760234161.6438172711272019.76776020218
Trimmed Mean ( 131 / 143 )326437.224852071155.1529021892582103.97111653044
Trimmed Mean ( 132 / 143 )326395.562874252149.6721214022002180.73719952935
Trimmed Mean ( 133 / 143 )326353.424242424143.7757968501832269.87734648058
Trimmed Mean ( 134 / 143 )326314.674846626138.6944659321772352.75915771720
Trimmed Mean ( 135 / 143 )326275.285714286133.1610354746382450.23091440610
Trimmed Mean ( 136 / 143 )326237.735849057127.9594574745122549.53984869809
Trimmed Mean ( 137 / 143 )326204.063694268123.7592957167122635.79444117843
Trimmed Mean ( 138 / 143 )326170119.2492712293482735.19491261870
Trimmed Mean ( 139 / 143 )326135.797385621114.4731404134442849.01590196367
Trimmed Mean ( 140 / 143 )326101.913907285109.5531505629532976.65482217141
Trimmed Mean ( 141 / 143 )326067.147651007104.0245031654953134.52251852872
Trimmed Mean ( 142 / 143 )326031.82312925297.89935367448393330.27554209714
Trimmed Mean ( 143 / 143 )325997.26896551791.61385168945073558.3840538718
Median325560
Midrange2535156
Midmean - Weighted Average at Xnp327994.532407407
Midmean - Weighted Average at X(n+1)p328102.774193548
Midmean - Empirical Distribution Function328102.774193548
Midmean - Empirical Distribution Function - Averaging328102.774193548
Midmean - Empirical Distribution Function - Interpolation328007.31627907
Midmean - Closest Observation327994.532407407
Midmean - True Basic - Statistics Graphics Toolkit328102.774193548
Midmean - MS Excel (old versions)328102.774193548
Number of observations431
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2011/Jan/23/t12958145420cl4qn2cio3mrhd/1tkh71295814568.png (open in new window)
http://www.freestatistics.org/blog/date/2011/Jan/23/t12958145420cl4qn2cio3mrhd/1tkh71295814568.ps (open in new window)


http://www.freestatistics.org/blog/date/2011/Jan/23/t12958145420cl4qn2cio3mrhd/28a601295814568.png (open in new window)
http://www.freestatistics.org/blog/date/2011/Jan/23/t12958145420cl4qn2cio3mrhd/28a601295814568.ps (open in new window)


 
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('http://www.xycoon.com/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('http://www.xycoon.com/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('http://www.xycoon.com/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('http://www.xycoon.com/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('http://www.xycoon.com/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('http://www.xycoon.com/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('http://www.xycoon.com/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('http://www.xycoon.com/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('http://www.xycoon.com/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('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/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('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/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('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/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('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/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('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/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('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/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('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/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('http://www.xycoon.com/midmean.htm', 'Midmean', 'click to view the definition of the Midmean')
mylabel <- paste(mymid,hyperlink('http://www.xycoon.com/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')
 





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We carefully protect your data from loss, misuse, alteration, and destruction. However, at any time, and under any circumstance you are solely responsible for managing your passwords, and keeping them secret.

We store a unique ANONYMOUS USER ID in the form of a small 'Cookie' on your computer. This allows us to track your progress when using this website which is necessary to create state-dependent features. The cookie is used for NO OTHER PURPOSE. At any time you may opt to disallow cookies from this website - this will not affect other features of this website.

We examine cookies that are used by third-parties (banner and online ads) very closely: abuse from third-parties automatically results in termination of the advertising contract without refund. We have very good reason to believe that the cookies that are produced by third parties (banner ads) do NOT cause any privacy or security risk.

FreeStatistics.org is safe. There is no need to download any software to use the applications and services contained in this website. Hence, your system's security is not compromised by their use, and your personal data - other than data you submit in the account application form, and the user-agent information that is transmitted by your browser - is never transmitted to our servers.

As a general rule, we do not log on-line behavior of individuals (other than normal logging of webserver 'hits'). However, in cases of abuse, hacking, unauthorized access, Denial of Service attacks, illegal copying, hotlinking, non-compliance with international webstandards (such as robots.txt), or any other harmful behavior, our system engineers are empowered to log, track, identify, publish, and ban misbehaving individuals - even if this leads to ban entire blocks of IP addresses, or disclosing user's identity.


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