[PDF] [PDF] Statistics Multiple Choice Questions 1 A variable that interferes

View - Download [PDF] Statistics Multiple Choice Questions 1 A variable that interferes

Previous PDF

Next PDF

ACTMRegional-StatisticsMultipleChoiceQuestionsT sexam ncludes25mult ple-c o ce temsandt reeconstructed-response temst atmaybeusedast e-breakers.Recordyouranswertoeac oft emult ple-c o ce temsont eanswergr d nt eappropr atelocat on.Onceyou avecompletedt emult ple-c o cesect ont enanswert et reeconstructed-responsequest ons.Besureyourname soneac pageoft econstructed-response tems.W ent me scalledyouw llbeaskedtoturn nt eanswers eetw t t ewr tten tems.Youmaykeept equest onpartoft eexam.1. Avar ablet at nterferesw t ot ervar ables nt estudy scalleda. anexplanatoryvar ableb. anoutcomevar ablec. aconfound ngvar abled. an nterfer ngvar able2. Are searc d v dedsubjects n totwogroupsaccord ng togenderandt enselectedmembersfromeac groupfor ersample.W atsampl ngmet odwast eresearc erus ng?a. Clusterb. Strat f edc. Randomd. Systemat c3. T efrequencybargrap belowdescr best eemploymentstatusofarandomsampleofU.S.adults.W at st epercentageoft ose av ngnojob?a. 15%b. 20%c. 40%d. cannotdeterm ne.

4. T emeanGPAforallstudentsatacommun tycollege nt efall2005semesterwas2.77.A studentw t aGP Aof 2.0wantstoknow er relat vestand ngrelat ontot emeanGPA.Anumer calsummaryt atwouldbeusefulfort spurpose st ea. standarddev at onb. med anc. nterquart leranged. numberofstudentsatt ecommun tycollege5. T efollow nggradesareg venforastudentforapart cularterm.GradeCred tHoursC3F1D2F2F3F ndt egradepo ntaverage.T epo ntvaluesofgradesareg venbelow.A:4,B:3,C:2,D:1,F:0a. 0.73b. 2.2c. 0.6d. 1.86. For���≥0, w at sn

C n

?a. 0b. 1c. ���d. Itcannotbedeterm ned.7. Alocalcountryclub asamembers pof600andoperatesfac l t est at ncludean18 - olec amp ons pgolfcourseand12tenn scourts .Beforedec d ngw et ertoacceptnewmembers,t eclubpres dentwouldl ketoknow owmanymembersregularlyuseeac fac l ty.Asurveyoft emembers p nd catest at61%regularlyuset egolfcourse,45%regularlyuset etenn scourts,and3%usene t eroft esefac l t esregularly.W atpercentageoft e600usesatleastoneoft egolfortenn sfac l t es?a. 97%b. 3%c. 103%d. 9%

8. T erandomva r ableXrepresen tst enumberofg rls na fam ly oft reec ldren.Assum ngt atboysan dg rlsareequally l kely,f ndt emeanandstandarddev at onfort erandomvar ableX.a. Mean:1.50;standarddev at on:0.87b. Mean:1.50;standarddev at on:0.76c. Mean:2.25;standarddev at on:0.87d. Mean:2.25;standarddev at on:0.769. Inalargec ty,50%oft epeoplec ooseamov e,30%c oosed nnerandaplay,and20%c oo ses opp ng asale sureact v ty.Ifasampleof5people srandomlyselected,f ndt eprobab l tyt at3areplann ngtogotoamov e,1toaplay,and1toas opp ngmall.a. 0.04b. 0.15c. 0.01d. Noneoft eabove10. Amongt econtestants nacompet t onare35womenand20men.If5w nnersarerandomlyselected,w at st eprobab l tyt att eyareallmen?a. 0.04776b. 0.10436c. 0.06093d. 0.0044611. F ndt esumof t eareasu ndert e standard normalcurve tot eleftof���=-1.25andtot er g tof���=1.25.a. 0.7888b. 0.2113c. 0.1056d. 0.394412. T eboardofexam nerst atadm n sterst erealestatebroker'sexam nat on nacerta nstatefoundt att emeanscoreont etestwas493andt estandarddev at onwas72.Ift eboardwantstosett epass ngscoresot atonlyt ebest10%ofallappl cantspass,w at st epass ngscore?Assumet att escoresarenormallyd str buted.a. 400.73b. 585.27c. 550.75d. 425.12

13. Ift epopulat ons ze s24,000andt esamples ze s400,and���=0.7,w at st esampl ngd str but onoft esampleproport onˆ

p .a. Exactlynormalw t µ p =0.7,σ p =0.023 b. Approx matelynormalw t µ p =0.7,σ p =0.0935 c. Approx matelynormalw t µ p =0.7,σ p =0.023 d. Exactlyb nom alw t µ p =289,σ p =9.17

14. Supposet atonaverage20carsarr veatBurgerK ng'sdr ve-t roug between12:00noona nd1:00PM w t var a nce20 cars.W at st eapprox mateprobab l tyt atas mplerandomsampleof4012:00noon-1:00PMt meper odsresults nameanofatleast22.1cars?a. 0.319b. 0.032c. 0.0015d. 0.01515. Amarket ngresearc companyneedstoest matew c oftwomed calplans tsemployeesprefer.Arandomsampleof���employeesproducedt efollow ng98%conf dence ntervalfort eprop ort onofemployeesw opre ferplanA: (0.241,0.561).F ndagoodpo ntest mateforest mat ngt etrueproport onofemployeesw oprefert atplan.a. 0.16b. 0.241c. 0.401d. 0.56116. Asoc olog stw s estoconductapolltoest matet epercentageofAmer cansw ofavoraff rmat veact onprogramsforwomenandm nor t esforadm ss ontocollegesandun vers t es.W atsamples zes ouldbeobta ned fs ew s est eest matetobew t n4percentagepo ntsw t 90%conf dence?a. 400b. 423c. 81d. 12317. W ent elevelofs gn f canceofa ypot es stest s ncreased,t eprobab l tyofcomm tt ngaTypeIerrora. sdecreasedb. rema nst esamec. s ncreasedd. becomeszero

18. ATypeIIerror sanerrort ata. rejects���!,g vent at���! sfalseb. fa lstoreject���!,g vent at���! struec. fa lstoreject���!,g vent at���! sfalsed. rejects���!,g vent at���! strue19. Toperforma ypot es stestoftwopopulat onproport ons,t epooledest mateof���mustbedeterm ned.T epooledest mate,ˆ

p , s.a. ˆ p= x 1 +x 2 n 1 +n 2 b. ˆ p= x 1 n 1 x 2 n 2 c. ˆ p= n 2 x 1 +n 1 x 2 n 1 +n 2 d. ˆ p= x 1 +x 2 n 1 n 2

20. Twosamplesarerandomlyselectedfromeac populat on.T esamplestat st csareg venbelow.Use���=0.05.n

1 =50, x 1 =21, s 1 =1.5 and n 2 =60, x 2 =19, s 2 =1.9

F ndt estandard zedteststat st ctotestt e ypot es st at���!=���!.a. 8.1b. 4.2c. 6.2d. 3.821. Inarecentsurveyofdr nk nglaws,arandomsampleof1000womens owedt at65%were nfavorof ncreas ngt elegaldr nk ngage.Inarandomsampleof1000men,60%favored ncreas ngt elegaldr nk ngage.Constructa95%conf dence ntervalfor���!-���!,w ere���! st epopulat onproport onofwomenw oare nf avorof ncreas ng t elegald nk ngageand ���! st e populat onproport onofmenw oare nfavorof ncreas ngt elegald nk ngage.a. (0.587,0.912)b. (-1.423,1.432)c. (-2.153,1.679)d. (0.008,0.092)

22. Acompanywantstodeterm ne f tsemployees aveanypreferenceamong5d fferent ealt plans, w c toffersto t em.Asampleof200 employee sprov dedt edatabelow.Plan12345Employees6532185530F ndt eteststat st cχ

2

totestt ecla mt att eprobab l t ess ownopreference.Use���=0.01.a. 45.91b. 37.45c. 48.91d. 55.6323. Fourd fferenttypesof nsect c desareusedonstrawberryplants.T enumberofstrawberr esoneac randomlyselectedplan sg venbelow.Insect c de1Insect c de2Insect c de3Insect c de4656776585556634323353454F ndt eteststat st c���totestt e ypot es st att etypeof nsect c demakesnod fference nt emeannumberofstrawberr esperplan.Use���=0.01.a. 8.123b. 7.123c. 6.912d. 8.35724. Inl nearregress on,agoodest matorof��� scalledt ea. standarddev at onb. var ancec. standarderroroft eest mated. samplestandarddev at on

25. T edatabel owaret etemp eraturesonrando mlyc osenda ysdur ngt esummerandt enumberofemployeeabsencesatalocalcompanyont osedays.Constructa95%conf dence ntervalaboutt eslopeoft etrueleast-squaresregress onl ne,fort edatag venbelow.Temperature,���7285919088987510080Numberofabsences,���3710108154155a. (0.367,0.530)b. (-1.760,2.658)c. (0.385,0.513)d. (0.371,0.527)

_____________________________________NameTieBreakers1. ASecc d sk san8- nc d ameterwe g tedd skt at spa ntedblackandw teandattac edtoarope.T ed sk slowered ntowaterandt edept ( n nc es)atw c snolongerv s ble srecorded.T emeasurement san nd cat onofwaterclar ty.Anenv ronmentalb olog st s nterested ndeterm n ngw et ert ewatercl ar tyoft elake atJol etJun orColle ge s mpr ov ng.S e takesmeasurementsatt esamelocat onone g tdatesdur ngt ecourseofayearandrepeatst emeasurementsont esamedays5yearlater.S eobta nst efollow ngresults:Observat on12345678Date5/116/76/247/87/278/319/3010/12In t aldept 3858657456365652Dept 5yearslater5260727254485860Doest eev den cesuggest t att eclar tyoft ela ke s mprov ngatt e���=0.05levelofs gn f cance?Conduct an ypot es stesttoanswert sequat on.Wr tedownt e ypot eses,teststa t st cs,P-value,dec s on,andconclus on.

_____________________________Name2. InanareaofRuss a,recordswerekeptont erelat ons pbetweent era nfall( n nc es)andt ey eldofw eat(bus elsperacre)ass ownbelow.Ra nfall( n nc es),���10.58.813.412.518.810.37.015.616.0Y eld(bus elsperacre),���50.546.258.859.082.449.231.976.078.8a. F tal nearregress onmodel.b. Us ngt emodel,pred ctt era nfall ft ey eld s60bus elsperacre.c. Constructa99%conf dence ntervalaboutt eslopeoft etrueleast-squaresregress onl ne,fort edatag venbelow.d. Ist eslopeoft emodels gn f cantlyd fferentfromzero?Just fyyouranswerbycarry ngoutanappropr ate ypot es stest.

________________________________Name3. Tenpeople applyfora jobasass st antmanagerofarestaurant.S x avecompletedcollegeandfour avenot.Ift emanager selects3 appl cantsatrandom,a. f ndt eprobab l tyt atall3arecollegegraduates.b. f ndt eprobab l tyt atall3arenotcollegegraduates.c. f ndt eprobab l tyt atatleast1appl cant sacollegegraduate.d. f ndt eprobab l tyt atatleast1appl cant snotacollegegraduate.

AnswerstoMultipleChoice1. c2. b3. a4. a5. a6. b7. a8. a9. a10. d11. b12. b13. c14. c15. c16. b17. c18. b19. a20. c21. d22. b23. d24. c25. a

SolutionsofTieBreakerProblems1. T esamplesaredependent.a. Hypot eses:H 0 d =0 H 1 d <0

,w ere ���! st e averageofd fferenceof t eread ngsIn t aldept -Dept after5years.b. Teststat st c:���=-2.384.c. P-value:0.024d. Dec s on:Reject���!.e. Conclus on:Yes,t eev dencesugg estst att e clar tyoft elake s mprov ngatt e���=0.05levelofs gn f cance.2. a. ˆ

y=4.379x+4.267 b. x=

60-4.267

4.379 =12.727

nc esofra nfall.c. 99%conf dence nterval=(3.228,5.53)d. ���!:���=0;���!: ���≠0.P-value=0.000003.Reject���!.Yes,t eslopeoft emodel ss gn f cantlyd fferentfromzero.3. a. 6

C 3 4 C 0 10 C 3 20 120
1 6 b. 6 C 0 4 C 3 10 C 3 4 120
1 30
c. 6 C 1 4 C 2 10 C 3 6 C 2 4 C 1 10 C 3 6 C 3 4 C 0 10 C 3 116
120
29
30
d. 6 C 2 4 C 1 10 C 3 6 C 1 4 C 2 10 C 3 6 C 0 4 C 3 10 C 3 100
120
5 6quotesdbs_dbs14.pdfusesText_20

[PDF] multiple choice questions on alkanes

[PDF] multiple choice questions on classes and objects in java

[PDF] multiple choice questions on company law 2013

[PDF] multiple choice questions on introduction to business

[PDF] multiple choice questions on is lm model

[PDF] multiple choice questions on linear programming problems with answers

[PDF] multiple choice questions on manufacturing processes pdf

[PDF] multiple choice questions on organic reaction mechanism

[PDF] multiple choice questions on organizing in management

[PDF] multiple choice questions on organometallic chemistry

[PDF] multiple choice questions on principles of management pdf

[PDF] multiple choice questions with answers on company act 2013 pdf

[PDF] multiple feedback low pass filter

[PDF] multiple fonts on resume

[PDF] multiple in text citations apa