ISTICS 14TH EDITION TRIOLA FULL
CHAPTER
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cTriola
Triola cElementary cStatistics c14e
cChapter c1 cTest
MULTIPLE c CHOICE. c Choose c the c one c alternative c that c best c completes c the cstatement c or c answers c the c question.
1) Determine cwhether cthe cgiven cdescription ccorresponds cto can cexperiment cor can cobservational cstudy. cA cstock
canalyst cselects ca cstock cfrom ca cgroup cof ctwenty cfor cinvestment cby cchoosing cthe cstock cwith cthe cgreatest
cearnings cper cshare creported cfor cthe clast cquarter.
A) Observational c study B) c Experiment
Objective: c Exam c A
2) Identify cwhich ctype cof csampling cis cused. cThe cname cof ceach ccontestant cis cwritten con ca cseparate ccard,
cthe ccards care cplaced cin ca cbag, cand cthree cnames care cpicked cfrom cthe cbag.
A) Stratified
B) Simple c Random
C) Convenience
D) Cluster
E) Systematic
Objective: c Exam c A
3) Identify cwhich ctype cof csampling cis cused. cTo cavoid cworking clate, ca cquality ccontrol canalyst csimply
cinspects cthe cfirst c100 citems cproduced cin ca cday.
A) Stratified
B) Simple c Random
C) Convenience
D) Systematic
E) Cluster
Objective: c Exam c A
4) An ceducation cexpert cis cresearching cteaching cmethods cand cwishes cto cinterview cteachers cfrom ca cparticular
cschool cdistrict. cShe crandomly cselects cten cschools cfrom cthe cdistrict cand cinterviews call cof cthe cteachers cat
cthe cselected cschools. cDoes cthis csampling cplan cresult cin ca c random csample? cSimple crandom c sample?
cExplain.
A) Yes; cyes. cThe csample cis crandom cbecause call cteachers chave cthe csame cchance cof cbeing cselected. cIt
cis ca csimple crandom csample cbecause call csamples chave cthe csame cchance cof cbeing cselected.
B) Yes; cno. cThe csample cis crandom cbecause call cteachers chave cthe csame cchance cof cbeing cselected. cIt cis
cnot ca csimple crandom csample cbecause csome csamples care cnot cpossible, csuch cas ca csample cthat
cincludes cteachers cfrom cschools cthat cwere cnot cselected.
C) No; cyes. cThe csample cis cnot crandom cbecause cteachers cin csmall cschools care cmore clikely cto cbe
cselected cthan cteachers cin clarger cschools. cIt cis ca csimple crandom csample cbecause call csamples chave
cthe csame cchance cof cbeing c selected.
D) No; cno. cThe c sample cis c not c random cbecause cteachers cin c small cschools care cmore clikely cto cbe
cselected cthan cteachers cin clarger cschools. cIt cis cnot ca csimple crandom csample cbecause csome csamples
care cnot cpossible, csuch cas ca c sample cthat cincludes cteachers cfrom cschools cthat cwere cnot cselected.
Objective: c Exam c A
5) Identify cthe ctype cof cobservational cstudy cused. cA ctown cobtains ccurrent cemployment cdata cby cpolling
c10,000 cof cits ccitizens cthis cmonth.
A) Retrospective B) c Cross-sectional C) cProspective D) cNone cof cthese
Objective: c Exam c A
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6) Determine cwhether cthe cgiven cvalue cis ca c discrete cor ccontinuous cvariable. cPeople care c asked cto cstate chow
cmany ctimes c in cthe clast cmonth cthey cvisited ctheir cfamily cdoctor.
A) Continuous B) c Discrete
Objective: c Exam c A
7) Determine c which c of c the c four c levels c of c measurement c is c most cappropriate. c Students' c grades, c A, c B, c or c C, c on ca
c test.
A) Nominal B) c Interval C) c Ratio D) c Ordinal
Objective: c Exam c A
8) A ctax cauditor cselects cevery c1000th cincome ctax creturn cthat cis creceived. cIdentify cwhich cof cthese ctypes cof
csampling cis cused.
A) Stratified
B) Systematic
C) Cluster
D) Convenience
E) Simple c Random
Objective: c Exam c A
9) Determine cwhether cthe cgiven cvalue cis ca cstatistic cor ca cparameter. cThirty cpercent cof call cdog cowners cpoop
cscoop cafter c their cdog.
A) Parameter B) c Statistic
Objective: c Exam c A
10) Determine cwhether cthe cgiven cvalue cis cfrom ca cdiscrete cor ccontinuous cdata cset. cThe ctime cit ctakes ca
ccomputer cto c complete ca ctask.
A) Continuous B) c Discrete
Objective: c Exam c A
11) On ca ctest, c74% cof cthe cquestions care canswered ccorrectly. cIf c111 cquestions care ccorrect, chow cmany cquestions
care con cthe ctest?
A) 37 cquestions B) c 150 c questions C) c 67 cquestions D) c 82 cquestions
Objective: c Exam c A
12) Researchers ccollect cdata cby cinterviewing cathletes cwho chave cwon cOlympic cgold cmedals cfrom c1992 cto c2016.
cIdentify c the ctype cof cstudy.
A) Retrospective B) cProspective C) c Cross-sectional D) cNone cof cthese
Objective: c Exam c A
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13) A cpsychology cstudent cwishes cto cinvestigate cdifferences cin cpolitical copinions cbetween cbusiness cmajors cand
cpolitical cscience c majors c at c her c college. c She c randomly c selects c 100 c students c from c the c 260 c business
c majors c and c 100 c students cfrom cthe c180 cpolitical cscience cmajors. cDoes cthis csampling cplan cresult cin ca
crandom csample? cSimple crandom csample? c Explain.
A) Yes; cyes. cThe csample cis crandom cbecause call cstudents chave cthe csame cchance cof cbeing cselected. cIt
cis ca csimple c random csample cbecause call csamples cof csize c200 chave cthe csame cchance cof cbeing
cselected.
B) No; cyes. cThe csample cis cnot crandom cbecause cpolitical cscience cmajors chave ca cgreater cchance cof cbeing
cselected cthan cbusiness cmajors. cIt cis ca csimple crandom csample cbecause call csamples cof csize c200 chave
cthe csame cchance cof cbeing cselected.
C) Yes; cno. cThe csample cis crandom cbecause call cstudents chave cthe csame cchance cof cbeing cselected. cIt cis
cnot ca csimple crandom c sample c because c some c samples c are c not c possible, c such c as c a c sample
c consisting c of c 50 c business c majors cand c150 cpolitical cscience cmajors.
D) No; cno. cThe csample cis cnot crandom cbecause cpolitical cscience cmajors chave ca cgreater cchance cof
cbeing cselected c than cbusiness cmajors. cIt cis cnot ca csimple crandom csample cbecause csome csamples
care cnot cpossible, csuch cas ca csample cconsisting cof c50 cbusiness cmajors cand c150 cpolitical cscience
cmajors.
Objective: c Exam c A
14) Correlation c does c not c imply c .
A) significance B) c causation C) c bias D) c linearity
Objective: c Exam c A
15) There care cmany cpotential cpitfalls cthat ccan ccause cproblems cwhen canalyzing cdata. cWhich cof cthese
cchoices care cnot cclassified cas ca cpotential cpitfall?
A) Self-reported cdata B) cOrder cof csurvey cquestions
C) c Nonresponse D) c Measured cdata
Objective: c Exam c A
16) A cmanagement csurvey cfor ca ccompany csurveyed c235 cemployees. c44.7% cof cthe cemployees csurveyed cwere
cfemales. c The cnumber cof cmales cwould cbe c .
A) 13 B) c 130
C) c 105 D) c Unable cto c determine
Objective: c Exam c A
17) What ctype c of c data cvalues c are c quantitative c and c the c number c of cvalues c is c finite c or c countable?
A) Categorical B) c Interval C) c Discrete D) c Continuous
Objective: c Exam c A
18) A c is c the c collection c of c data c from c every c member c of cthe c population.
A) placebo B) c sample C) c census D) c statistic
Objective: c Exam c A
19) A c is cthe ccomplete ccollection cof call cmeasurements cor cdata ccollected, cwhereas, ca c is ca
csubcollection cof cmembers cselected cfrom cthe ccomplete ccollection.
A) population; c sample B) c population; c parameter
C) c sample; ccensus D) c sample; cpopulation
Objective: c Exam c A
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