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Estimate P(Total Production > 122.4). What is the implication for the Industrial's Production in 2007/10?

*The author of this computation has been verified*
R Software Module: rwasp_harrell_davies.wasp (opens new window with default values)
Title produced by software: Harrell-Davis Quantiles
Date of computation: Wed, 22 Oct 2008 08:27:07 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Oct/22/t12246857680hus4smhq6ncnzd.htm/, Retrieved Wed, 22 Oct 2008 14:29:28 +0000
 
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/2008/Oct/22/t12246857680hus4smhq6ncnzd.htm/},
    year = {2008},
}
@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 = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
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Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
100.7 109.9 114.6 85.4 100.5 114.8 116.5 112.9 102 106 105.3 118.8 106.1 109.3 117.2 92.5 104.2 112.5 122.4 113.3 100 110.7 112.8 109.8 117.3 109.1 115.9 95.7
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time44 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.02996881965026.5675736401574
0.010586.06909346679626.55070863783453
0.01186.1088909943276.53359310318414
0.011586.14935287449746.51626728499198
0.01286.1904704033636.49868374791882
0.012586.23223470893776.48092151529775
0.01386.27463675929296.4629245823567
0.013586.317667370596.44473529251964
0.01486.36131721504476.42632510986182
0.014586.40557682881566.40772762360146
0.01586.45043661981236.38894494291608
0.015586.49588687542066.36999358201144
0.01686.54191777013826.35086709734186
0.016586.58851937311816.33156769051266
0.01786.63568165561516.3121181904412
0.017586.68339449833256.29252076638512
0.01886.7316476986646.27277811315139
0.018586.78043097783056.25289060328935
0.01986.82973398790386.23285883807859
0.019586.87954631872036.21273842623371
0.0286.92985750467636.1924585323256
0.020586.98065703140666.1721111756477
0.02187.03193434234146.15163322670863
0.021587.08367884514146.13106937573705
0.02287.13587991800656.11040435260007
0.022587.18852691585946.08966950114668
0.02387.24160917639956.06885507524535
0.023587.29511602602816.04796331307366
0.02487.34903678564186.02700103528841
0.024587.40336077629356.00599354448448
0.02587.45807732472065.98492752778309
0.025587.51317576873875.9638364295687
0.02687.56864546250025.94268537993184
0.026587.62447578161795.92150370250502
0.02787.68065612815255.90031268830948
0.027587.73717593546395.87908995521441
0.02887.79402467292615.85785112163894
0.028587.8511918505065.83662351351478
0.02987.90866702320525.81535891663545
0.029587.96643979536725.79413792999025
0.0388.02449982484685.77287579729969
0.030588.0828368270465.75165987379106
0.03188.1414405788145.7304716020941
0.031588.2003009222145.70928951202329
0.03288.25940776815475.68816385970403
0.032588.31875109989255.66704844297104
0.03388.37832097639845.6459804485879
0.033588.43810753559745.62496710303557
0.03488.49810099747645.60398583835883
0.034588.55829166706455.58308919498062
0.03588.61866993728625.56222770007391
0.035588.67922629168975.54143455525627
0.03688.73995130704865.5207023828715
0.036588.80083565584395.50005499683134
0.03788.86187010862195.47950111329351
0.037588.9230455362345.45897685118925
0.03888.98435291195825.43856760710595
0.038589.04578331350335.41825891559776
0.03989.10732792490035.39800026929471
0.039589.1689780382795.37785037605248
0.0489.23072505553475.35779015475918
0.040589.2925604898865.33787183566993
0.04189.35447596732455.31801022735743
0.041589.41646322796025.29827420171146
0.04289.47851412726295.27864416665383
0.042589.54062063720285.25913121305483
0.04389.6027748472925.2397040205769
0.043589.66496896552755.22043394408732
0.04489.72719531924175.20124720559998
0.044589.78944635585695.18219253777298
0.04589.8517146435515.16323760635567
0.045589.91399287183375.14442613938948
0.04689.97627385203575.12572972295092
0.046590.03855051771425.10717056051054
0.04790.10081592497515.08871177620555
0.047590.16306325271525.07040408969265
0.04890.22528580278725.05221358876225
0.048590.2874770000875.03414782832763
0.04990.34963039256865.01621931618679
0.049590.41173965118724.99839495143609
0.0590.47379856977164.98073315478196
0.050590.53580106483044.96319038717117
0.05190.59774117529234.94580267464494
0.051590.6596130621834.92851803738071
0.05290.72141100824184.91139456820465
0.052590.78312941747754.89438867186293
0.05390.84476281466934.87747288772807
0.053590.90630584481074.86078202945423
0.05490.96775327250234.84414472595073
0.054591.0290999812924.82763449587369
0.05591.09034097296744.81127234111037
0.055591.15147136684.79506974303459
0.05691.2124863987464.77894585719349
0.056591.27338142060184.76300412810021
0.05791.334151899124.74716627001876
0.057591.39479341508464.73143234678153
0.05891.45530166234964.71581672224102
0.058591.51567244684124.7003471012632
0.05991.57590168552574.68501622668666
0.059591.63598540534624.66980097087666
0.0691.69591974212724.6546911130122
0.060591.75570093945154.63970379757688
0.06191.81532534750964.62482876839458
0.061591.87478942192254.61007670444232
0.06291.93408972254264.59542429166839
0.062591.99322291222964.58088053657764
0.06392.05218575560724.56644457900341
0.063592.11097511784.55213317669666
0.06492.16958796315224.53793761263989
0.064592.22802135392964.52380916105988
0.06592.28627244900714.50980452183225
0.065592.34433850254194.49590905350275
0.06692.40221686263424.48210151003245
0.066592.45990496997754.46840490466248
0.06792.51740035649794.45478850746806
0.067592.57470064398594.44128573984656
0.06892.631803542724.42785492794649
0.068592.68870685008434.41452031071116
0.06992.74540844918094.40127252920984
0.069592.80190630743814.38811442789088
0.0792.85819847521664.37503719116549
0.070592.91428308441224.36202472698028
0.07192.97015834705844.3491025255007
0.071593.02582255392964.33628187202919
0.07293.08127407314434.32348703874445
0.072593.13651134877044.3107832267634
0.07393.1915328994344.29816786873154
0.073593.24633731693034.28559867853615
0.07493.30092326484124.27311101941898
0.074593.35528947715554.26067623318398
0.07593.4094347568974.24832199324267
0.075593.46335797475854.23600374074479
0.07693.5170580677434.22374634136595
0.076593.57053403781334.2115910885806
0.07793.62378495055054.19942442326518
0.077593.67680993382084.18733637328085
0.07893.72960817645384.17530211724743
0.078593.78217892692884.16331568920957
0.07993.83452149207464.15135128449385
0.079593.88663523577934.13948959568727
0.0893.9385195777124.12759662460362
0.080593.99017399205744.11582079293043
0.08194.04159800626294.10402632784235
0.081594.09279119979884.09229282135190
0.08294.14375320293244.08059602397337
0.082594.19448369551564.0689287306645
0.08394.2449824057874.05728368797333
0.083594.29524910918834.04570389763385
0.08494.34528362719614.03410561255532
0.084594.3950858261684.02257376217998
0.08594.44465561620444.01101274295052
0.085594.49399295002663.99952851651597
0.08694.54309782186883.98806784213801
0.086594.59197026638823.97661806911469
0.08794.64061035758983.96519585587945
0.087594.68901820776763.95377002019801
0.08894.73719396646313.94239450797540
0.088594.78513781943923.93101966886602
0.08994.83284998767133.91967461087959
0.089594.88033072635453.90834483306960
0.0994.92758032392863.89699319044528
0.090594.9745991011193.88569932411048
0.09195.02138740999423.87436458661234
0.091595.06794563304113.86310062115770
0.09295.11427418225653.85181508626055
0.092595.16037349825523.84053916006822
0.09395.20624404939563.82925564838484
0.093595.25188633092153.81805037306465
0.09495.2973008641213.80678569403039
0.094595.34248819550183.79554160098806
0.09595.38744889598313.78432328060463
0.095595.43218356010423.77306328486511
0.09695.47669280524963.76184527358227
0.096595.52097727089013.75061260255581
0.09795.56503761784053.73941358689735
0.097595.60887452753313.72821333547949
0.09895.65248870130743.71696073014067
0.098595.69588085971543.70576301377746
0.09995.73905174184313.69457925087506
0.099595.78200210464713.68337022643309
0.195.82473272230693.67217425457520
0.100595.8672443855923.66098221893534
0.10195.90953790124473.64977570490885
0.101595.95161409137773.63857090163916
0.10295.99347379288593.62735503496649
0.102596.03511785687313.61618582178880
0.10396.07654714809373.60498231616346
0.103596.11776254440723.59380701419762
0.10496.15876493624793.58261284427345
0.104596.19955522610783.57143483237904
0.10596.2401343280333.56025543581017
0.105596.28050316713453.54906522106043
0.10696.320662679113.53789072325967
0.106596.3606138097813.52673117984112
0.10796.40035751464143.51553317802807
0.107596.43989475841873.50437644233387
0.10896.47922651464753.49319506868752
0.108596.51835376525573.48203627291152
0.10996.55727750016163.47088459971068
0.109596.59599871688353.45973881479338
0.1196.63451842015983.44859824948437
0.110596.67283762158193.43742662472042
0.11196.71095733923573.42627798117202
0.111596.7488785973563.41515717212882
0.11296.7866024259913.40402933865229
0.112596.82412986067493.3929244300174
0.11396.86146194211473.38181564762256
0.113596.8985997158833.37070466025616
0.11496.93554423212223.35961931724167
0.114596.97229654525863.34852828483559
0.11597.00885771372423.33748270574066
0.115597.04522879968853.32642918571135
0.11697.0814108687993.3153965995935
0.116597.11740498993023.30439073004874
0.11797.15321223494023.29335959690678
0.117597.18883367843673.28236579594628
0.11897.22427039754983.27138773528427
0.118597.25952347171343.26039833648283
0.11997.2945939824533.24945476222184
0.119597.32948301318223.23853261606202
0.1297.36419164900483.2276511690345
0.120597.3987209765253.21672490375835
0.12197.43307208366383.20586844080702
0.121597.46724605948143.19503025565958
0.12297.50124399400713.18423593652383
0.122597.53506697807433.17342297060294
0.12397.56871610316183.16264361575985
0.123597.60219246124073.15189342971044
0.12497.63549714462723.14115862227043
0.124597.66863124584053.13049210423462
0.12597.70159585746613.11983226437528
0.125597.73439207202373.10920724186167
0.12697.76702098184063.09861650667086
0.126597.79948367892953.08805004214159
0.12797.83178125487093.0775121368381
0.127597.86391480069963.06698966242433
0.12897.89588540679583.05656195961183
0.128597.92769416278043.04613180896578
0.12997.95934215741373.03572251785633
0.129597.9908304784983.02537693390826
0.1398.02216021278483.01506045180708
0.130598.05333244588333.00483268185772
0.13198.08434826217532.99455125755883
0.131598.115208744732.98439272220249
0.13298.1459149752252.97421754891915
0.132598.17646803386792.96416563422633
0.13398.20686899932192.95407892773632
0.133598.2371189486342.9440868990853
0.13498.26721895716552.93411049157418
0.134598.29717009852542.92422170160028
0.13598.32697344450552.91434327331831
0.135598.35663006501852.90453888370154
0.13698.3861410280382.89479682271428
0.136598.415507399542.88509451787807
0.13798.44473024344772.87547023671103
0.137598.47381062157632.86586732651181
0.13898.50274959358132.85632233632794
0.138598.53154821690732.84685231541564
0.13998.56020754673922.83743919636596
0.139598.5887286359542.82808085796758
0.1498.61711253507512.81874852231652
0.140598.64536029222692.80954709814423
0.14198.6734729530912.80035712143612
0.141598.70145156086472.79123613037035
0.14298.7292971562182.78215304801712
0.142598.7570107772552.77320632887421
0.14398.78459345947282.76426620426472
0.143598.81204623572462.75543628900412
0.14498.83937013618122.74664231864307
0.144598.86656618829442.73792832241350
0.14598.8936354167612.72928284815573
0.145598.92057884348742.72069214237899
0.14698.94739748755482.71220879711157
0.146598.97409236518522.70377353359182
0.14799.00066448970752.69538829342746
0.147599.02711487152482.68712861405916
0.14899.05344451808122.67889512611718
0.148599.07965443383022.67077859048000
0.14999.10574562020222.66268681376043
0.149599.13171907557322.65471536098061
0.1599.15757579523382.64678455509258
0.150599.18331677135782.63897965446122
0.15199.20894299297172.63122547874513
0.151599.23445544592442.62356746791593
0.15299.25985511285642.61596647994069
0.152599.28514297317022.60845766819431
0.15399.31032000299962.60100823629499
0.153599.33538717518052.59367201379107
0.15499.36034545922092.58644637306337
0.154599.38519582127062.57917606046004
0.15599.40993922409242.57214341026484
0.155599.43457662703232.56509909965345
0.15699.45910898598912.55818020075382
0.156599.48353725338632.55133306626227
0.15799.5078623781412.54457193204843
0.157599.5320853056362.53788308489419
0.15899.55620697768862.53130515289221
0.158599.58022833252252.52476590712105
0.15999.60415030473722.51836231186921
0.159599.6279738252792.51200230763523
0.1699.65169982141132.5058071348826
0.160599.67532921668482.49964448502845
0.16199.69886293090772.49357640900175
0.161599.72230188011652.48756883411285
0.16299.74564697654582.48165183507878
0.162599.76889912859872.47585476347222
0.16399.7920592408172.47015168503602
0.163599.81512821385172.46453604214171
0.16499.8381069444322.45902515832345
0.164599.86099632533742.45354070573582
0.16599.88379724536592.44822794626808
0.165599.90651058930522.44293249815405
0.16699.92913723790262.43773413906631
0.166599.95167806783522.43265000621876
0.16799.97413395167972.42762424937068
0.167599.9965057578832.4227304737309
0.168100.0187943507332.41793042292218
0.1685100.0410005903262.41318049475451
0.169100.0631253325412.40854936998434
0.1695100.0851694290082.40394360640734
0.17100.1071337270772.39951243262622
0.1705100.1290190697932.39513655328720
0.171100.1508262958602.39084320430553
0.1715100.1725562396192.38662738282926
0.172100.1942097310132.38252255614221
0.1725100.2157875955602.37845819595153
0.173100.2372906543262.37454717319753
0.1735100.2587197238942.37067405880528
0.174100.2800756163352.36693531746529
0.1745100.3013591391822.36321857659867
0.175100.3225710953982.3596463491023
0.1755100.3437122833532.35614231684808
0.176100.3647834967932.35271085160039
0.1765100.3857855248112.34936755823209
0.177100.4067191518252.34611834001976
0.1775100.4275851575452.34293502571586
0.178100.448384316952.33981146887617
0.1785100.4691174002602.33687221621744
0.179100.4897851729102.33391299947315
0.1795100.5103883955242.33109148453246
0.18100.5309278238922.32830062009180
0.1805100.5514042089392.32565021747586
0.181100.5718182967072.32301562572826
0.1815100.5921708283232.32052789083692
0.182100.6124625399832.31808862369387
0.1825100.6326941629232.31576720091518
0.183100.6528664233942.31344443866418
0.1835100.6729800426452.31119640698577
0.184100.6930357368982.30909495696069
0.1845100.7130342173212.30706191868089
0.185100.7329761900152.30503685218476
0.1855100.7528623559872.30316661282589
0.186100.7726934111292.30133631292600
0.1865100.7924700462022.29957872500495
0.187100.8121929468122.29792318486407
0.1875100.8318627933942.29627101180443
0.188100.8514802611912.29474628006807
0.1885100.8710460202372.29324197986244
0.189100.8905607353382.29184909821401
0.1895100.9100250660582.29054309511142
0.19100.9294396666992.28927223797236
0.1905100.9488051862852.28804478627551
0.191100.9681222685512.28693149896084
0.1915100.9873915519232.28585042068814
0.192101.0066136695072.28481136774525
0.1925101.0257892490732.28390804922007
0.193101.0449189130432.28301384839528
0.1935101.0640032784812.28220677046593
0.194101.0830429570772.28142914744806
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0.99122.0920801371483.30080114468631
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Oct/22/t12246857680hus4smhq6ncnzd/1xvf51224685580.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Oct/22/t12246857680hus4smhq6ncnzd/1xvf51224685580.ps (open in new window)


 
Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.0005 ;
 
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.0005 ;
 
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
 





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