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2017AP?STATISTICS -RESPONSEQUESTIONS
InferentialStatistics
Standardizedteststatistic: statisticparameter
standarddeviationofstatistic
Confidenceinterval:statistic?
criticalvalue?standarddeviationofstatistic
Single-Sample
Statistic
StandardDeviationofStatistic
SampleMean
s
n
SampleProportion
p(1p)
n
Two-Sample
Statistic
StandardDeviationofStatistic
Differenceofsamplemeans
s2s2
1 2
n1 n2
Specialcasewhens1s2
s11
n1 n2
Differenceofsampleproportions
p1(1p1)p2(1p2)
n1 n2
Specialcasewhenp1p2
p1p 11
n1 n2
Chi-squareteststatistic?
observedexpected2expected
2017AP?STATISTICS
-RESPONSEQUESTIONS
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STATISTICSSECTIONII
PartAQuestions1-5
Spendabout65minutesonthispartoftheexam.
PercentofSectionIIscore—75
Directions:Showallyourwork.Indicateclearlythemethodsyouuse,becauseyouwillbescoredonthecorrectnessofyourmethodsaswellasontheaccuracyandcompletenessofyourresultsandexnations.
ResearchersstudyingapackofgraywolvesinNorthAmericacollecteddataonthelengthx,inmeters,fromnosetotipoftail,andtheweighty,inkilograms,ofthewolves.Ascatterplotofweightversuslengthrevealedarelationshipbetweenthetwovariablesdescribedaspositive,linear,andstrong.
Forthesituationdescribedabove,exinwhatismeantbyeachofthefollowingwords.
Positive:
Linear:
Strong:
Thed ollectedfromthewolveswereusedtocreatetheleast-squaresequation
y?=-16.46+35.02x.
Interpretthemeaningoftheslopeoftheleast-squaresregressionlineincontext.
Onewolfinthepackwithalengthof1.4metershadaresidualof-9.67kilograms.Whatwastheweightofthewolf?
Themanagerofalocalfast-foodrestaurantisconcernedaboutcustomerswhoaskforawatercupwhencinganorderbutfillthecupwithasoftdrinkfromthebeveragefountaininsteadoffillingthecupwithwater.Themanagerselectedarandomsampleof80customerswhoaskedforawatercupwhencinganorderandfoundthat23ofthosecustomersfilledthecupwithasoftdrinkfromthebeveragefountain.
Constructandinterpreta95percentconfidenceintervalfortheproportionofallcustomerswho,havingaskedforawatercupwhencinganorder,willfillthecupwithasoftdrinkfromthebeveragefountain.
Themanagerestimatesthateachcustomerwhoasksforawatercupbutfillsitwithasoftdrinkcoststherestaurant$0.25.SupposethatinthemonthofJune3,000customersaskforawatercupwhencinganorder.Usetheconfidenceintervalconstructedinpart(a)togiveanintervalestimateforthecosttotherestaurantforthemonthofJunefromthecustomerswhoaskforawatercupbutfillthecupwith
asoftdrink.
Agrocerystorepurchasesmelonsfromtwodistributors,JandK.DistributorJprovidesmelonsfromorganicfarms.ThedistributionofthediametersofthemelonsfromDistributorJisapproximaynormalwithmean133millimeters(mm)andstandarddeviation5mm.
ForamelonselectedatrandomfromDistributorJ,whatistheprobabilitythatthemelonwillhaveadiametergreaterthan137mm?
DistributorKprovidesmelonsfromnonorganicfarms.Theprobabilityis0.8413thatamelonselectedatrandomfromDistributorKwillhaveadiametergreaterthan137mm.Forallthemelonsatthegrocerystore,70percentofthemelonsareprovidedbyDistributorJand30percentareprovidedbyDistributorK.
Foramelonselectedatrandomfromthegrocerystore,whatistheprobabilitythatthemelonwillhaveadiametergreaterthan137mm?
Giventhatamelonselectedatrandomfromthegrocerystorehasadiametergreaterthan137mm,whatistheprobabilitythatthemelonwillbefromDistributorJ?
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Thechemicalsinclayusedtomakepotterycandifferdependingonthegeographicalregionwheretheclayoriginated.Sometimes,archaeologistsuseachemicalysisofclaytohelpidentifywhereapieceofpotteryoriginated.Suchanysismeasurestheamountofachemicalintheclayasapercentofthetotalweightofthepieceofpottery.Theboxplotsbelowsummarizeysesdoneforthreechemicals—X,Y,andZ—onpiecesofpotterythatoriginatedatoneofthreesites:I,II,orIII.
ForchemicalZ,describehowthepercentsfoundinthepiecesofpotteryaresimilarandhowtheydifferamongthethreesites.
Considerapieceofpotteryknowntohaveoriginatedatoneofthethreesites,buttheactualsiteisnotknown.
SupposeanysisoftheclayrevealsthatthesumofthepercentsofthethreechemicalsX,Y,andZis20.5%.Basedontheboxplots,whichsite—I,II,orIII—isthemostlikelysitewherethepieceofpotteryoriginated?Justifyyourchoice.
Supposeonlyonechemicalcouldbeyzedinthepieceofpottery.Whichchemical—X,Y,orZ—wouldbethemostusefulinidentifyingthesitewherethepieceofpotteryoriginated?Justifyyourchoice.
Thetableandthebarchartbelowsummarizeatdiagnosis,inyears,forarandomsampleof207menandwomencurrentlybeingtreatedforschizophrenia.
Age-Group(years)
20to29
30to39
40to49
50to59
Total
Women
46
40
21
12
119
Men
53
23
9
3
88
Total
99
63
30
15
207
Dothedataprovideconvincingstatisticalevidenceofanassociationbetweenage-groupandgenderinthediagnosisofschizophrenia?
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STATISTICSSECTIONII
PartBQuestion6
Spendabout25minutesonthispartoftheexam.
PercentofSectionIIscore—25
Directions:Showallyourwork.Indicateclearlythemethodsyouuse,becauseyouwillbescoredonthecorrectnessofyourmethodsaswellasontheaccuracyandcompletenessofyourresultsandexnations.
Consideranexperimentinwhichtwomenandtwowomenwillberandomlyassignedtoeitheratreatmentgrouporacontrolgroupinsuchawaythateachgrouphastwopeople.ThepeopleareidentifiedasMan1,Man2,Woman1,andWoman2.Thesixpossiblearrangementsareshownbelow.
ArrangementA
Treatment
Control
Man1
Man2
Woman1
Woman2
ArrangementB
Treatment
Control
Man1
Woman1
Man2
Woman2
ArrangementC
Treatment
Control
Man1
Woman2
Man2
Woman1
ArrangementD
Treatment
Control
Woman1
Woman2
Man1
Man2
ArrangementE
Treatment
Control
Man2
Woman2
Man1
Woman1
ArrangementF
Treatment
Control
Man2
Woman1
Man1
Woman2
Twopossiblemethodsofassignmentarebeingconsidered:thesequentialcoinflipmethod,asdescribedinpart(a),andthechipmethod,asdescribedinpart(b).Foreaethod,theorderoftheassignmentwillbeMan1,Man2,Woman1,Woman2.
Forthesequentialcoinflipmethod,afaircoinisflippeduntilonegrouphastwopeople.An eoftailsassignsthe tothetreatmentgroup,andan eofheadsassignsthe tothecontrolgroup.Assoonasonegrouphastwopeople,theremainingpeopleareautomaticallyassignedtotheothergroup.
Completethetablebelowbycalculatingtheprobabilityofeacharrangementoccurringifthesequentialcoinflipmethodisused.
Arrangement
A
B
C
D
E
F
Probability
Forthesequentialcoinflipmethod,whatistheprobabilitythatMan1andMan2areassignedtothesamegroup?
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Thesixarrangementsarerepeatedbelow.
ArrangementA
Treatment
Control
Man1
Man2
Woman1
Woman2
ArrangementB
Treatment
Control
Man1
Woman1
Man2
Woman2
ArrangementC
Treatment
Control
Man1
Woman2
Man2
Woman1
ArrangementD
Treatment
Control
Woman1
Woman2
Man1
Man2
ArrangementE
Treatment
Control
Man2
Woman2
Man1
Woman1
ArrangementF
Treatment
Control
Man2
Woman1
Man1
Woman2
Forthechipmethod,twochipsaremarked“treatment”andtwochipsaremarked“control.”Eachselectsonechipatrandomwithoutrecement.
Completethetablebelowbycalculatingtheprobabilityofeacharrangementoccurringifthechipmethodisused.
Arrangement
A
B
C
D
E
F
Probability
Forthechipmethod,whatistheprobabilitythatMan1andMan2areassignedtothesamegroup?
Sixteenparticipantsconsistingof10studentsand6teachersatanelementaryschoolwillbeusedforanexperimenttodeterminelunchpreferencefortheschoolpopulationofstudentsandteachers.Astheparticipan tertheschoolcafeteriaforlunch,theywillberandomlyassignedtoreceiveoneoftwolunchessothat8willreceiveasalad,and8willreceiveagrilledcheesesandwich.Thestudentswillenterthecafeteriafirst,andtheteacherswillenternext.Whiethod,thesequentialcoinflipmethodorthechipmethod,shouldbeusedtoassignthetreatments?Justifyyourchoice.
STOPENDOFEXAM
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z
Probability
Tableentryforzistheprobabilitylyingbelowz.
TableAStandardnormalprobabilities
z
.00
.01
.02
.03
.04
.05
.06
.07
.08
.09
–3.4
.0003
.0003
.0003
.0003
.0003
.0003
.0003
.0003
.0003
.0002
–3.3
.0005
.0005
.0005
.0004
.0004
.0004
.0004
.0004
.0004
.0003
–3.2
.0007
.0007
.0006
.0006
.0006
.0006
.0006
.0005
.0005
.0005
–3.1
.0010
.0009
.0009
.0009
.0008
.0008
.0008
.0008
.0007
.0007
–3.0
.0013
.0013
.0013
.0012
.0012
.0011
.0011
.0011
.0010
.0010
–2.9
.0019
.0018
.0018
.0017
.0016
.0016
.0015
.0015
.0014
.0014
–2.8
.0026
.0025
.0024
.0023
.0023
.0022
.0021
.0021
.0020
.0019
–2.7
.0035
.0034
.0033
.0032
.0031
.0030
.0029
.0028
.0027
.0026
–2.6
.0047
.0045
.0044
.0043
.0041
.0040
.0039
.0038
.0037
.0036
–2.5
.0062
.0060
.0059
.0057
.0055
.0054
.0052
.0051
.0049
.0048
–2.4
.0082
.0080
.0078
.0075
.0073
.0071
.0069
.0068
.0066
.0064
–2.3
.0107
.0104
.0102
.0099
.0096
.0094
.0091
.0089
.0087
.0084
–2.2
.0139
.0136
.0132
.0129
.0125
.0122
.0119
.0116
.0113
.0110
–2.1
.0179
.0174
.0170
.0166
.0162
.0158
.0154
.0150
.0146
.0143
–2.0
.0228
.0222
.0217
.0212
.0207
.0202
.0197
.0192
.0188
.0183
–1.9
.0287
.0281
.0274
.0268
.0262
.0256
.0250
.0244
.0239
.0233
–1.8
.0359
.0351
.0344
.0336
.0329
.0322
.0314
.0307
.0301
.0294
–1.7
.0446
.0436
.0427
.0418
.0409
.0401
.0392
.0384
.0375
.0367
–1.6
.0548
.0537
.0526
.0516
.0505
.0495
.0485
.0475
.0465
.0455
–1.5
.0668
.0655
.0643
.0630
.0618
.0606
.0594
.0582
.0571
.0559
–1.4
.0808
.0793
.0778
.0764
.0749
.0735
.0721
.0708
.0694
.0681
–1.3
.0968
.0951
.0934
.0918
.0901
.0885
.0869
.0853
.0838
.0823
–1.2
.1151
.1131
.1112
.1093
.1075
.1056
.1038
.1020
.1003
.0985
–1.1
.1357
.1335
.1314
.1292
.1271
.1251
.1230
.1210
.1190
.1170
–1.0
.1587
.1562
.1539
.1515
.1492
.1469
.1446
.1423
.1401
.1379
–0.9
.1841
.1814
.1788
.1762
.1736
.1711
.1685
.1660
.1635
.1611
–0.8
.2119
.2090
.2061
.2033
.2005
.1977
.1949
.1922
.1894
.1867
–0.7
.2420
.2389
.2358
.2327
.2296
.2266
.2236
.2206
.2177
.2148
–0.6
.2743
.2709
.2676
.2643
.2611
.2578
.2546
.2514
.2483
.2451
–0.5
.3085
.3050
.3015
.2981
.2946
.2912
.2877
.2843
.2810
.2776
–0.4
.3446
.3409
.3372
.3336
.3300
.3264
.3228
.3192
.3156
.3121
–0.3
.3821
.3783
.3745
.3707
.3669
.3632
.3594
.3557
.3520
.3483
–0.2
.4207
.4168
.4129
.4090
.4052
.4013
.3974
.3936
.3897
.3859
–0.1
.4602
.4562
.4522
.4483
.4443
.4404
.4364
.4325
.4286
.4247
–0.0
.5000
.4960
.4920
.4880
.4840
.4801
.4761
.4721
.4681
.4641
Probability
Tableentryforzistheprobabilitylyingbelowz.
z
TableA( )
z
.00
.01
.02
.03
.04
.05
.06
.07
.08
.09
0.0
.5000
.5040
.5080
.5120
.5160
.5199
.5239
.5279
.5319
.5359
0.1
.5398
.5438
.5478
.5517
.5557
.5596
.5636
.5675
.5714
.5753
0.2
.5793
.5832
.5871
.5910
.5948
.5987
.6026
.6064
.6103
.6141
0.3
.6179
.6217
.6255
.6293
.6331
.6368
.6406
.6443
.6480
.6517
0.4
.6554
.6591
.6628
.6664
.6700
.6736
.6772
.6808
.6844
.6879
0.5
.6915
.6950
.6985
.7019
.7054
.7088
.7123
.7157
.7190
.7224
0.6
.7257
.7291
.7324
.7357
.7389
.7422
.7454
.7486
.7517
.7549
0.7
.7580
.7611
.7642
.7673
.7704
.7734
.7764
.7794
.7823
.7852
0.8
.7881
.7910
.7939
.7967
.7995
.8023
.8051
.8078
.8106
.8133
0.9
.8159
.8186
.8212
.8238
.8264
.8289
.8315
.8340
.8365
.8389
1.0
.8413
.8438
.8461
.8485
.8508
8531
.8554
.8577
.8599
.8621
1.1
.8643
.8665
.8686
.8708
.8729
.8749
.8770
.8790
.8810
.8830
1.2
.8849
.8869
.8888
.8907
.8925
.8944
.8962
.8980
.8997
.9015
1.3
.9032
.9049
.9066
.9082
.9099
.9115
.9131
.9147
.9162
.9177
1.4
.9192
.9207
.9222
.9236
.9251
.9265
.9279
.9292
.9306
.9319
1.5
.9332
.9345
.9357
.9370
.9382
.9394
.9406
.9418
.9429
.9441
1.6
.9452
.9463
.9474
.9484
.9495
.9505
.9515
.9525
.9535
.9545
1.7
.9554
.9564
.9573
.9582
.9591
.9599
.9608
.9616
.9625
.9633
1.8
.9641
.9649
.9656
.9664
.9671
.9678
.9686
.9693
.9699
.9706
1.9
.9713
.9719
.9726
.9732
.9738
.9744
.9750
.9756
.9761
.9767
2.0
.9772
.9778
.9783
.9788
.9793
9798
.9803
.9808
.9812
.9817
2.1
.9821
.9826
.9830
.9834
.9838
.9842
.9846
.9850
.9854
.9857
2.2
.9861
.9864
.9868
.9871
.9875
.9878
.9881
.9884
.9887
.9890
2.3
.9893
.9896
.9898
.9901
.9904
.9906
.9909
.9911
.9913
.9916
2.4
.9918
.9920
.9922
.9925
.9927
.9929
.9931
.9932
.9934
.9936
2.5
.9938
.9940
.9941
.9943
.9945
.9946
.9948
.9949
.9951
.9952
2.6
.9953
.9955
.9956
.9957
.9959
.9960
.9961
.9962
.9963
.9964
2.7
.9965
.9966
.9967
.9968
.9969
.9970
.9971
.9972
.9973
.9974
2.8
.9974
.9975
.9976
.9977
.9977
.9978
.9979
.9979
.9980
.9981
2.9
.9981
.9982
.9982
.9983
.9984
.9984
.9985
.9985
.9986
.9986
3.0
.9987
.9987
.9987
.9988
.9988
9989
.9989
.9989
.9990
.9990
3.1
.9990
.9991
.9991
.9991
.9992
.9992
.9992
.9992
.9993
.9993
3.2
.9993
.9993
.9994
.9994
.9994
.9994
.9994
.9995
.9995
.9995
3.3
.9995
.9995
.9995
.9996
.9996
.9996
.9996
.9996
.9996
.9997
3.4
.9997
.9997
.9997
.9997
.9997
.9997
.9997
.9997
.9997
.9998
2017AP?STATISTICS
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Probabilityp
TableentryforpandCisthepointt*withprobabilityplyingaboveitandprobabilityClyingbetweent*andt*.
t*
TableBtdistributioncriticalvalues
df
Tailprobabilityp
.25
.20
.15
.10
.05
.025
.02
.01
.005
.0025
.001
.0005
1
1.000
1.376
1.963
3.078
6.314
12.71
15.89
31.82
63.66
127.3
318.3
636.6
2
.816
1.061
1.386
1.886
2.920
4.303
4.849
6.965
9.925
14.09
22.33
31.60
3
.765
.978
1.250
1.638
2.353
3.182
3.482
4.541
5.841
7.453
10.21
12.92
4
.741
.941
1.190
1.533
2.132
2.776
2.999
3.747
4.604
5.598
7.173
8.610
5
.727
.920
1.156
1.476
2.015
2.571
2.757
3.365
4.032
4.773
5.893
6.869
6
.718
.906
1.134
1.440
1.943
2.447
2.612
3.143
3.707
4.317
5.208
5.959
7
.711
.896
1.119
1.415
1.895
2.365
2.517
2.998
3.499
4.029
4.785
5.408
8
.706
.889
1.108
1.397
1.860
2.306
2.449
2.896
3.355
3.833
4.501
5.041
9
.703
.883
1.100
1.383
1.833
2.262
2.398
2.821
3.250
3.690
4.297
4.781
10
.700
.879
1.093
1.372
1.812
2.228
2.359
2.764
3.169
3.581
4.144
4.587
11
.697
.876
1.088
1.363
1.796
2.201
2.328
2.718
3.106
3.497
4.025
4.437
12
.695
.873
1.083
1.356
1.782
2.179
2.303
2.681
3.055
3.428
3.930
4.318
13
.694
.870
1.079
1.350
1.771
2.160
2.282
2.650
3.012
3.372
3.852
4.221
14
.692
.868
1.076
1.345
1.761
2.145
2.264
2.624
2.977
3.326
3.787
4.140
15
.691
.866
1.074
1.341
1.753
2.131
2.249
2.602
2.947
3.286
3.733
4.073
16
.690
.865
1.071
1.337
1.746
2.120
2.235
2.583
2.921
3.252
3.686
4.015
17
.689
.863
1.069
1.333
1.740
2.110
2.224
2.567
2.898
3.222
3.646
3.965
18
.688
.862
1.067
1.330
1.734
2.101
2.214
2.552
2.878
3.197
3.611
3.922
19
.688
.861
1.066
1.328
1.729
2.093
2.205
2.539
2.861
3.174
3.579
3.883
20
.687
.860
1.064
1.325
1.725
2.086
2.197
2.528
2.845
3.153
3.552
3.850
21
.686
.859
1.063
1.323
1.721
2.080
2.189
2.518
2.831
3.135
3.527
3.819
22
.686
.858
1.061
1.321
1.717
2.074
2.183
2.508
2.819
3.119
3.505
3.792
23
.685
.858
1.060
1.319
1.714
2.069
2.177
2.500
2.807
3.104
3.485
3.768
24
.685
.857
1.059
1.318
1.711
2.064
2.172
2.492
2.797
3.091
3.467
3.745
25
.684
.856
1.058
1.316
1.708
2.060
2.167
2.485
2.787
3.078
3.450
3.725
26
.684
.856
1.058
1.315
1.706
2.056
2.162
2.479
2.779
3.067
3.435
3.707
27
.684
.855
1.057
1.314
1.703
2.052
2.158
2.473
2.771
3.057
3.421
3.690
28
.683
.855
1.056
1.313
1.701
2.048
2.154
2.467
2.763
3.047
3.408
3.674
29
.683
.854
1.055
1.311
1.699
2.045
2.150
2.462
2.756
3.038
3.396
3.659
30
.683
.854
1.055
1.310
1.697
2.042
2.147
2.457
2.750
3.030
3.385
3.646
40
.681
.851
1.050
1.303
1.684
2.021
2.123
2.423
2.704
2.971
3.307
3.551
50
.679
.849
1.047
1.299
1.676
2.009
2.109
2.403
2.678
2.937
3.261
3.496
60
.679
.848
1.045
1.296
1.671
2.000
2.099
2.390
2.660
2.915
3.232
3.460
80
.678
.846
1.043
1.292
1.664
1.990
2.088
2.374
2.639
2.887
3.195
3.416
100
.677
.845
1.042
1.290
1.660
1.984
2.081
2.364
2.626
2.871
3.174
3.390
1000
.675
.842
1.037
1.282
1.646
1.962
2.056
2.330
2.581
2.813
3.098
3.300
.674
.841
1.036
1.282
1.645
1.960
2.054
2.326
2.576
2.807
3.091
3.291
50% 60% 70% 80% 90% 95% 96% 98% 99% 99.5% 99.8% 99.9%
ConfidencelevelC
2017AP?STATISTICS
-RESPONSEQUESTIONS
-
PAGE
16
-
Probabilityp
Tableentryforpisthepoint
(2)withprobabilityplying
aboveit.
(2)
TableC c2criticalvalues
df
Tailprobabilityp
.25
.20
.15
.10
.05
.025
.02
.01
.005
.0025
.001
.0005
1
1.32
1.64
2.07
2.71
3.84
5.02
5.41
6.63
7.88
9.14
10.83
12.12
2
2.77
3.22
3.79
4.61
5.99
7.38
7.82
9.21
10.60
11.98
13.82
15.20
3
4.11
4.64
5.32
6.25
7.81
9.35
9.84
11.34
12.84
14.32
16.27
17.73
4
5.39
5.99
6.74
7.78
9.49
11.14
11.67
13.28
14.86
16.42
18.47
20.00
5
6.63
7.29
8.12
9.24
11.07
12.83
13.39
15.09
16.75
18.39
20.51
22.11
6
7.84
8.56
9.45
10.64
12.59
14.45
15.03
16.81
18.55
20.25
22.46
24.10
7
9.04
9.80
10.75
12.02
14.07
16.01
16.62
18.48
20.28
22.04
24.32
26.02
8
10.22
11.03
12.03
13.36
15.51
17.53
18.17
20.09
21.95
23.77
26.12
27.87
9
11.39
12.24
13.29
14.68
16.92
19.02
19.6
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