Gould/Ryan/WonggEssentialsgStatisticsg3egChapt
erg1gTest
MULTIPLEg CHOICE.g Chooseg theg oneg alternativeg thatg bestg completesg theg statementg org answersg theg question.
Answergtheg question.
1) Datagcangbegdefinedgasgnumbersgingcontext.gSupposegyougareggivengthegfollowinggsetgofgnumb
ers:g1.73,g1.83,g1.57,g1.88,g1.70,g1.65
Whatg additionalg informationg wouldg allowg youg tog defineg theseg numbersg asg data?
A) Weg needg tog knowg whog collectedgtheseg numbers.
B) Unitsg ofg measurement.g Thisg couldg representg theg heightsg ofg sixg 20-year-olds,g ing meters.
C) Unitsg ofg measurement.g Thisg couldg representg theg heightsg ofg sixg 5-year-olds,g ing meters.
D) Weg needg tog knowg whereg theseg numbersgwereg collected.
Objective:g (1)g Understandg Conceptsg Regardingg Data
2) Datagcangbegdefinedgasgnumbersgingcontext.gSupposegyougareggivengthegfollowinggsetgofgnumb
ers:g18,g22,g22,g20,g19,g21
Whatg additionalg informationg wouldg allowg youg tog defineg theseg numbersg asg data?
A) Weg needg tog knowg whog collectedgtheseg numbers.
B) Weg needg tog knowg whereg theseg numbersgwereg collected.
C) Unitsg ofg measurement.g Thisgcouldg representg theg agesg ofg sixg highg schoolg students.
D) Unitsg ofg measurement.g Thisg couldg representg theg agesg ofg sixg collegeg students.
Objective:g (1)g Understandg Conceptsg Regardingg Data
SHORTg ANSWER.g Writeg theg wordg org phraseg thatg bestg completesg eachg statementg org answersg theg question.
3) Giveg ang exampleg ofg howg datag couldg beg collectedg aboutg youg ong ag dailyg basis.
Objective:g (1)g Understandg Conceptsg Regardingg Data
MULTIPLEg CHOICE.g Chooseg theg oneg alternativeg thatg bestg completesg theg statementg org answersg theg question.
Solveg thegproblem.
4) Agstatisticsgstudentgcollectedgdatagfromgothergstudentsginghergclassgwhogridegagbikegtogschool.gThegfollowinggt
ablegshowsgdatagaboutgtheirgbikes:
Color Seriesg Number Weightg (lbs) RoadgBike Averageg Speedg (mph)
Black A120 33 0 16
Blue B640 22 1 24
Green C300 26 0 14
Black D90 15 1 23
Howg manyg variablesg areg there?
A) 7 B)g 20 C)g 4 D)g 5
Objective:g (1)g Understandg theg Fundamentalsg ofg Statistics
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5) Agstatisticsgstudentgcollectedgdatagfromgothergstudentsginghergclassgwhogridegagbikegtogschool.gThegfollowinggt
ablegshowsgdatagaboutgtheirgbikes:
Color Seriesg Number Weightg (lbs) RoadgBike Averageg Speedg (mph)
Black A120 31 0 16
Blue B640 21 1 24
Green C300 27 0 14
Black D90 14 1 23
Observationsg wereg madeg ong howg manyg bikes?
A) 20 B)g 4 C)g 7 D)g 5
Objective:g (1)g Understandg theg Fundamentalsg ofg Statistics
6) Ing ag recentg schoolg poll,g theg administratorsg askedg ifg studentsg wereg satisfiedg withg theg school'sg courseg offerings.
g Whatgisgthegpopulationgofginterestghere?
A) Allg studentsg whog areg satisfiedg withg theg courseg offerings.
B) Allg studentsg whog participatedg ing theg poll.
C) Allgstudentsgwhogattendgthegschool.
D) Allgstudentsg whog areg notg satisfiedg withg theg courseg offerings.
Objective:g (1)g Understandg theg Fundamentalsg ofg Statistics
7) Ingagrecentghighgschoolgpoll,gthegprincipalgaskedgifgstudentsgweregsatisfiedgwithgthegamountgofgafter-
schoolgactivitiesg offered.gWhatgisgthegpopulationgofginterestghere?
A) Allg studentsg whog participatedg ing theg poll.
B) Allgstudentsgwhogattendgthegschool.
C) Allg studentsg whog areg notg satisfiedg withg theg amountg ofg after-schoolg activitiesg thatg areg offered.
D) Allg studentsg whog areg satisfiedg withg theg amountg ofg after-schoolg activitiesg thatg areg offered.
Objective:g (1)g Understandg theg Fundamentalsg ofg Statistics
SHORTg ANSWER.g Writeg theg wordg org phraseg thatg bestg completesg eachg statementg org answersg theg question.
8) IngagrecentgsurveygatgUCLA,gsomegincominggfreshmengstudentsgweregaskedgifgtheygplannedgtogtakegmoregthan
gonegmathgclassgbeforegtheyggraduated.gWhatg isgthegpopulationgofginterestgheregandgwhatgisgthegsample?
Objective:g (1)g Understandg theg Fundamentalsg ofg Statistics
MULTIPLEg CHOICE.g Chooseg theg oneg alternativeg thatg bestg completesg theg statementg org answersg theg question.
9) Thegaverageggasgmileagegofgthegtopgsellinggmini-
vansgforgeachgU.gS.gcargmanufacturergisgangexamplegofgwhatgtypegofg variable?
A) Categoricalg variable B)g Numericalg variable C)g Neither
Objective:g (2)g Distinguishg Betweeng Numericalg andg Categoricalg Variables
10) Ag stateg senator'sg commentsg aboutg theg dangersg ofg globalg warmingg areg ang exampleg ofg whatg typeg ofg variable?
A) Categoricalg variable B)g Numericalg variable C)g Neither
Objective:g (2)g Distinguishg Betweeng Numericalg andg Categoricalg Variables
11) Maritalg statusg ofg eachg memberg ofg ag randomlyg selectedg groupg ofg adultsg isg ang exampleg ofg whatg typeg ofg variable?
A) Numericalg variable B)g Categoricalg variable C)g Neither
Objective:g (2)g Distinguishg Betweeng Numericalg andg Categoricalg Variables
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12) Theg ethnicityg ofg theg individualg respondentsg ing ag politicalg pollg ofg ag randomlyg selectedg groupg ofg adultsg isg ang ex
amplegofgwhatgtypegofgvariable?
A) Numericalg variable B)g Categoricalg variable C)g Neither
Objective:g (2)g Distinguishg Betweeng Numericalg andg Categoricalg Variables
13) Thegaveragegnumbergofghoursgspentgcompletinggstatisticsghomeworkgforgagrandomlygselectedggroupgofgstatist
icsgstudentsgisgangexamplegofgwhatgtypegofgvariable?
A) Categoricalg variable B)g Numericalg variable C)g Neither
Objective:g (2)g Distinguishg Betweeng Numericalg andg Categoricalg Variables
14) Thegnumbergofgparentsgwhogattendedgparentgteachergconferencesgatgaglocalgelementarygschoolgisgangexampl
egofg whatgtypegofgvariable?
A) Numericalg variable B)g Categoricalg variable C)g Neither
Objective:g (2)g Distinguishg Betweeng Numericalg andg Categoricalg Variables
15) Ag bicycleg manufacturerg producesg fourg differentg bicycleg models.g Informationg isg summarizedg ing theg tableg below:
Model Seriesg Number Weight Style
Ascension A120 31 Mountain
RoadgRunner B640 19 Road
AllgTerrain C300 27 Hybrid
Classg Above D90 15 Racing
Identifyg theg variablesg andg determineg whetherg eachg variableg isg numericalg org categorical.
A) seriesg number:g numerical;g weight:g categorical;g style:g categorical
B) seriesg number:g categorical;g weight:g numerical;g style:g categorical
C) seriesg number:g numerical;g weight:g numerical;g style:g categorical
D) seriesg number:g categorical;g weight:g categorical;g style:g categorical
Objective:g (2)g Distinguishg Betweeng Numericalg andg Categoricalg Variables
16) Anginternationalgrelationsgprofessorgisgsupervisinggfourgmaster'sgstudents.g Informationgaboutgthegstudents
gisgsummarizedgingthegtable.
Studentg Name Studentg Number AreagofgInterest GPA
Anna 914589205 Africa 3.40
Pierre 981672635 Middleg East 3.87
Juan 906539012 LatingAmerica 3.75
Yoko 977530271 Asia 3.13
Identifyg theg variablesg andg determineg whetherg eachg variableg isg numericalg org categorical.
A) studentg number:g numerical;g areag ofg interest:g categorical;g GPA:g categorical
B) studentg number:g categorical;g areag ofg interest:g categorical;g GPA:g categorical
C) studentg number:g numerical;g areag ofg interest:g categorical;g GPA:g numerical
D) studentg number:g categorical;g areag ofg interest:g categorical;g GPA:g numerical
Objective:g (2)g Distinguishg Betweeng Numericalg andg Categoricalg Variables
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