TEST BANK
Introduction to Statistical Investigations,
nd
2 Edition Nathan Tintle; Beth L. Chance
Chapters 1 - 11, Complete
FOR5INSTRUCTOR5USE5ONLY
,TABLE OF CONTENTS
5 5 5
Chapter 1 – Significance: How Strong is the Evidence
5 5 5 5 5 5 5 5 5
Chapter 2 – Generalization: How Broadly Do the Results Apply?
5 5 5 5 5 5 5 5 5 5
Chapter 3 – Estimation: How Large is the Effect?
5 5 5 5 5 5 5 5 5
Chapter 4 – Causation: Can We Say What Caused the Effect?
5 5 5 5 5 5 5 5 5 5 5
Chapter 5 – Comparing Two Proportions
5 5 5 5 5 5
Chapter 6 – Comparing Two Means
5 5 5 5 5 5
Chapter 7 – Paired Data: One Quantitative Variable
5 5 5 5 5 5 5 5
Chapter 8 – Comparing More Than Two Proportions
5 5 5 5 5 5 5 5
Chapter 9 – Comparing More Than Two Means
5 5 5 5 5 5 5 5
Chapter 10 – Two Quantitative Variables
5 5 5 5 5 5
Chapter 11 – Modeling Randomness
5 5 5 5
FOR5INSTRUCTOR5USE5ONLY
,Chapter 1 5
Note:555TE5 =5 Text5entry TE-N5=5Text5entry5-
5Numeric5Ma5 =5 Matching MS5 =5 Multiple5select
MC5 =5 Multiple5choice TF5=5True-
False5E5=5Easy,5M5=5Medium,5H5=5Hard
CHAPTER 1 LEARNING OBJECTIVES
5 5 5
CLO1-1:5Use5the5chance5model5to5determine5whether5an5observed5statistic5is5unlikely5to5occur.
CLO1-2:5Calculate5and5interpret5a5p-
value,5and5state5the5strength5of5evidence5it5provides5against5the5null5hypothesis.
CLO1-
3:5Calculate5a5standardized5statistic5for5a5single5proportion5and5evaluate5the5strength5of5evide
nce5it5provides5against5a5null5hypothesis.
CLO1-
4:5Describe5how5the5distance5of5the5observed5statistic5from5the5parameter5value5specified5by5the5n
ull5hypothesis,5sample5size,5and5one-5vs.5two-
sided5tests5affect5the5strength5of5evidence5against5the5null5hypothesis.
CLO1-5:5Describe5how5to5carry5out5a5theory-based,5one-proportion5z-test.
Section 1.1: Introduction to Chance Models
5 5 5 5 5
LO1.1-1:5Recognize5the5difference5between5parameters5and5statistics.
LO1.1-2:5Describe5how5to5use5coin5tossing5to5simulate5outcomes5from5a5chance5model5of5the5ran-
dom5choice5between5two5events.
5
LO1.1-3:5Use5the5One5Proportion5applet5to5carry5out5the5coin5tossing5simulation.
LO1.1-
4:5Identify5whether5or5not5study5results5are5statistically5significant5and5whether5or5not5the5chan
ce5model5is5a5plausible5explanation5for5the5data.
LO1.1-
5:5Implement5the53S5strategy:5find5a5statistic,5simulate5results5from5a5chance5model,5and5comm
ent5on5strength5of5evidence5against5observed5study5results5happening5by5chance5alone.
LO1.1-
6:5Differentiate5between5saying5the5chance5model5is5plausible5and5the5chance5model5is5the5correct
5explanation5for5the5observed5data.
FOR5INSTRUCTOR5USE5ONLY
, 1-2 Test5Bank5for5Introduction5to5Statistical5Investigations,52nd5Edition
Questions515through54:
Do5red5uniform5wearers5tend5to5win5more5often5than5those5wearing5blue5uniforms5in5Taekwond
o5matches5where5competitors5are5randomly5assigned5to5wear5either5a5red5or5blue5uniform?5In5a5
sample5of5805Taekwondo5matches,5there5were5455matches5where5the5red5uniform5wearer5won.
1. What5is5the5parameter5of5interest5for5this5study?
A. The5long-run5proportion5of5Taekwondo5matches5in5which5the5red5uniform5wearer5wins
B. The5proportion5of5matches5in5which5the5red5uniform5wearer5wins5in5a5sample5of5805Taek
wondo5matches
C. Whether5the5red5uniform5wearer5wins5a5match
D.5 0.50
Ans:5A;5LO:51.1-1;5Difficulty:5Easy;5Type:5MC
2. What5is5the5statistic5for5this5study?
A. The5long-run5proportion5of5Taekwondo5matches5in5which5the5red5uniform5wearer5wins
B. The5proportion5of5matches5in5which5the5red5uniform5wearer5wins5in5a5sample5of5805Taek
wondo5matches
C. Whether5the5red5uniform5wearer5wins5a5match
D.5 0.50
Ans:5B;5LO:51.1-1;5Difficulty:5Easy;5Type:5MC
3. Given5below5is5the5simulated5distribution5of5the5number5of5―red5wins‖5that5could5happen5by5chan
ce5alone5in5a5sample5of5805matches.5Based5on5this5simulation,5is5our5observed5result5statistically5si
gnificant?
A. Yes,5since5455is5larger5than540.
B. Yes,5since5the5height5of5the5dotplot5above5455is5smaller5than5the5height5of5the5dotpl
ot5above540.
C. No,5since5455is5a5fairly5typical5outcome5if5the5color5of5the5winner‘s5uniform5was5deter
mined5by5chance5alone.
FOR5INSTRUCTOR5USE5ONLY
Introduction to Statistical Investigations,
nd
2 Edition Nathan Tintle; Beth L. Chance
Chapters 1 - 11, Complete
FOR5INSTRUCTOR5USE5ONLY
,TABLE OF CONTENTS
5 5 5
Chapter 1 – Significance: How Strong is the Evidence
5 5 5 5 5 5 5 5 5
Chapter 2 – Generalization: How Broadly Do the Results Apply?
5 5 5 5 5 5 5 5 5 5
Chapter 3 – Estimation: How Large is the Effect?
5 5 5 5 5 5 5 5 5
Chapter 4 – Causation: Can We Say What Caused the Effect?
5 5 5 5 5 5 5 5 5 5 5
Chapter 5 – Comparing Two Proportions
5 5 5 5 5 5
Chapter 6 – Comparing Two Means
5 5 5 5 5 5
Chapter 7 – Paired Data: One Quantitative Variable
5 5 5 5 5 5 5 5
Chapter 8 – Comparing More Than Two Proportions
5 5 5 5 5 5 5 5
Chapter 9 – Comparing More Than Two Means
5 5 5 5 5 5 5 5
Chapter 10 – Two Quantitative Variables
5 5 5 5 5 5
Chapter 11 – Modeling Randomness
5 5 5 5
FOR5INSTRUCTOR5USE5ONLY
,Chapter 1 5
Note:555TE5 =5 Text5entry TE-N5=5Text5entry5-
5Numeric5Ma5 =5 Matching MS5 =5 Multiple5select
MC5 =5 Multiple5choice TF5=5True-
False5E5=5Easy,5M5=5Medium,5H5=5Hard
CHAPTER 1 LEARNING OBJECTIVES
5 5 5
CLO1-1:5Use5the5chance5model5to5determine5whether5an5observed5statistic5is5unlikely5to5occur.
CLO1-2:5Calculate5and5interpret5a5p-
value,5and5state5the5strength5of5evidence5it5provides5against5the5null5hypothesis.
CLO1-
3:5Calculate5a5standardized5statistic5for5a5single5proportion5and5evaluate5the5strength5of5evide
nce5it5provides5against5a5null5hypothesis.
CLO1-
4:5Describe5how5the5distance5of5the5observed5statistic5from5the5parameter5value5specified5by5the5n
ull5hypothesis,5sample5size,5and5one-5vs.5two-
sided5tests5affect5the5strength5of5evidence5against5the5null5hypothesis.
CLO1-5:5Describe5how5to5carry5out5a5theory-based,5one-proportion5z-test.
Section 1.1: Introduction to Chance Models
5 5 5 5 5
LO1.1-1:5Recognize5the5difference5between5parameters5and5statistics.
LO1.1-2:5Describe5how5to5use5coin5tossing5to5simulate5outcomes5from5a5chance5model5of5the5ran-
dom5choice5between5two5events.
5
LO1.1-3:5Use5the5One5Proportion5applet5to5carry5out5the5coin5tossing5simulation.
LO1.1-
4:5Identify5whether5or5not5study5results5are5statistically5significant5and5whether5or5not5the5chan
ce5model5is5a5plausible5explanation5for5the5data.
LO1.1-
5:5Implement5the53S5strategy:5find5a5statistic,5simulate5results5from5a5chance5model,5and5comm
ent5on5strength5of5evidence5against5observed5study5results5happening5by5chance5alone.
LO1.1-
6:5Differentiate5between5saying5the5chance5model5is5plausible5and5the5chance5model5is5the5correct
5explanation5for5the5observed5data.
FOR5INSTRUCTOR5USE5ONLY
, 1-2 Test5Bank5for5Introduction5to5Statistical5Investigations,52nd5Edition
Questions515through54:
Do5red5uniform5wearers5tend5to5win5more5often5than5those5wearing5blue5uniforms5in5Taekwond
o5matches5where5competitors5are5randomly5assigned5to5wear5either5a5red5or5blue5uniform?5In5a5
sample5of5805Taekwondo5matches,5there5were5455matches5where5the5red5uniform5wearer5won.
1. What5is5the5parameter5of5interest5for5this5study?
A. The5long-run5proportion5of5Taekwondo5matches5in5which5the5red5uniform5wearer5wins
B. The5proportion5of5matches5in5which5the5red5uniform5wearer5wins5in5a5sample5of5805Taek
wondo5matches
C. Whether5the5red5uniform5wearer5wins5a5match
D.5 0.50
Ans:5A;5LO:51.1-1;5Difficulty:5Easy;5Type:5MC
2. What5is5the5statistic5for5this5study?
A. The5long-run5proportion5of5Taekwondo5matches5in5which5the5red5uniform5wearer5wins
B. The5proportion5of5matches5in5which5the5red5uniform5wearer5wins5in5a5sample5of5805Taek
wondo5matches
C. Whether5the5red5uniform5wearer5wins5a5match
D.5 0.50
Ans:5B;5LO:51.1-1;5Difficulty:5Easy;5Type:5MC
3. Given5below5is5the5simulated5distribution5of5the5number5of5―red5wins‖5that5could5happen5by5chan
ce5alone5in5a5sample5of5805matches.5Based5on5this5simulation,5is5our5observed5result5statistically5si
gnificant?
A. Yes,5since5455is5larger5than540.
B. Yes,5since5the5height5of5the5dotplot5above5455is5smaller5than5the5height5of5the5dotpl
ot5above540.
C. No,5since5455is5a5fairly5typical5outcome5if5the5color5of5the5winner‘s5uniform5was5deter
mined5by5chance5alone.
FOR5INSTRUCTOR5USE5ONLY
