Question.3984 - Assignment 7
Answer Below:
Assignment xxxxxxx Allen xxxxxxxxxx Research xxxxxxx Management xx Guclu xxxxx November xx Question xxx results xxxxxxxx by xxxxxxxx are xxxxxxxxxxxx due xx significant xxxxxxxxxxx in xxx sampling xxxxxx and xxxxxx size xxx sampling xxxxxx relied xx convenience xxxx taxi xxxxxxxxx connecting xxxxxxxxxxx to xxxxxxxxxxxxx drivers xxx city xxxx approach xxxxxxxxxx selection xxxx because xxx sampled xxxxxxx may xxx accurately xxxxxxxxx the xxxxxx population xx taxi xxxxxxx in xxxx city xxxxxxxxxx such xx shift xxxxxxxx location xxxxxxxxxxx and xxxxx characteristics xxx likely xxx adequately xxxxxxxxx for xx such x limited xxxxxx making xxx findings xxxx reliable xxxxxxxxxxxx relying xx drivers xx recall xxx number xx devices xxxx in xxxxx cabs xxxx six xxxxxx introduces xxxxxx bias xx human xxxxxx is xxxxx imprecise xxxxxxxxxxxx over xxxxxxxx periods xxxxxxx may xxxxxx incidents xxxxxxxxxxxx occurrences xx underreport xxx to xxxx of xxxxxxxx tracking xxxx further xxxxxxxxxx the xxxxxxxxxxx of xxx collected xxxx The xxxxx sample xxxx compounds xxx problem xxxx only xxxxxxx surveyed xx cities xxxx London xx Chicago xxxxx taxi xxxxxx consist xx thousands xx drivers xxx sample xxxx is xxx small xx reliably xxxxxxxxxxx the xxxxxxxx to xxx entire xxxxxxxxxx A xxxxxxx sample xxxxxx fully xxxxxxx the xxxxxxxxxxx in xxxxxxxxxxx of xxxxxxx being xxxx behind xxxxxx different xxxxxxx vehicles xx routes xxxxxxxxxxxxx such xxxxxxxxxxx data xx estimate xxxxxx for xxxxxx cities xx Pointsec xxx significantly xxxxxxxxx the xxxxxxxxx for xxxxx For xxxxxxxx calculating xxxx phones xxxx behind xx Chicago xxxxx on xxxxxxx per xxx falsely xxxxxxx that xxx rate xx consistent xxxxxx all xxxxx and xxxxxxx in xxx city xxxxxxxx any xxxxxxx variation xx behavior xx circumstances xxxx precise xxxxxxx create xx illusion xx accuracy xxx precision xxxx is xxx supported xx the xxxxxxxxxx data xxxxxxx Moreover xxx method xx multiplying xxxxx by xxx size xx the xxxx rsquo x taxi xxxxx introduces xxxxxxxxxx layers xx uncertainty xxxxxxxxxxx in xxxxxxxxx practices xxxxx sizes xxx operating xxxxxxxxxx between xxxxxx could xxxx to xxxxxxxxxxxx or xxxxxxxxxx comparisons xxxxx the xxxxxx method xxxxx be xxxxxxxxxx for xxxxxxx attention xx the xxxxx of xxxx security xx a xxxxxxx sense xx lacks xxx rigor xxxxxx for xxxxxxx reporting x more xxxxxx sampling xxxxxx and x larger xxxx representative xxxxxx size xxxxx be xxxxxxxx to xxxxxxx results xxxx are xxxx reliable xxx generalizable xx its xxxxxxx form xxx sampling xxxxxx undermines xxx credibility xx the xxxxxxxxxxx drawn xxxxxxxx To xxxxxx results xxxx a xxxxxxxxxx level xxx sampling xxxxxx and xxxxxx size xxx studying xxxxxx devices xxxx in xxxxx must xx significantly xxxxxxxx First x random xxxxxxxx method xxxxxx replace xxx convenience xxxxxxxx used xx the xxxxxxxx study xxxxxx sampling xxxxxxxx selecting xxxx drivers xxxx a xxxxxxxxxxxxx list xxxxxxxx by xxxx companies xxxxxxxx that xxxx driver xxx an xxxxx chance xx being xxxxxx This xxxxxxxx reduces xxxxxxxxx bias xxx increases xxx representativeness xx the xxxxxx Moreover xx account xxx variations xx taxi xxxxxxxxxx a xxxxxxxxxx sampling xxxxxx can xx employed xxxx involves xxxxxxxx the xxxxxxxxxx into xxxxxx based xx factors xxxx shifts xxx versus xxxxx locations xxxxx versus xxxxxxxx areas xx fleet xxxxx independent xxxxxxx versus xxxxxxxxxxxxxxxx ensuring xxxx all xxxxxxxxx are xxxxxxxxxxxxxx represented xx the xxxxxx Relying xx objective xxxxxxx rather xxxx subjective xxxxxx recall xxxxx also xxxxxxx data xxxxxxxxxxx Many xxxx companies xxxxxxxx lost-and-found xxxx that xxxxxxxx the xxxxx left xxxxxx in xxxxxxxx These xxxx provide xxxx accurate xxx consistent xxxx than xxxxxxx on xxxxxxx rsquo xxxxxx which xx prone xx recall xxxx Using xxxx records xxxxx ensure x more xxxxxx foundation xxx extrapolating xxxxxxxx If xxxxxx access xx these xxxxxxx is xxx feasible xxxxxxxxxx interviews xx surveys xxxx drivers xxxxx providing xxxx with xxxxxxxxxx prompts xx shorter xxxxxxxxx timeframes x g xxxxxxxxx incidents xxxx the xxxx month xxxxxx than xxx months xxxxx help xxxxxxxx inaccuracies xxxxxxxxxxx the xxxxxxxxxxx sample xxxx is xxxx critical xxx achieving xxx desired xxxxxxxxxx level xxx formula xxx calculating xxxxxx size xx n x E xxxxx Z xxxxxxxxxx the xxxxxxx for x confidence xxxxx sigma xx the xxxxxxxx deviation xxx E xx the xxxxxx of xxxxx For xxxxxxx if x pilot xxxxx estimates xxxx drivers xxxxxxxxx an xxxxxxx of xxxxxxx left xxxxxx with x standard xxxxxxxxx of xxx a xxxxxx of xxxxx of xxx required xxxxxx size xx approximately xxxxxxx per xxxx However xxxxxx cities xxxx more xxxxxxx taxi xxxxxxxxxx such xx London xx Chicago xxx require xxxxxx sample xxxxx to xxxxxxx for xxxxxxxxx variability xxxxxxx the xxxxxx should xxxxxxx clear xxx standardized xxxxxxxxx protocols xx ensure xxxxxxxxxxx Data xxxxxxxxxx processes xxxx as xxxxxxxxxxxxxxxxx survey xxxxxxxxx with xxxxxxxxxxxxxx records xxx further xxxxxxx accuracy xx implementing xxxxx measures xxx company xxx produce xxxxxxx that xxx both xxxxxxxx and xxxxxxx making xxxx suitable xxx critical xxxxxxxx predictionsMore Articles From Management
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