Introduction to Statistical Investigations,
2nd Edition Nathan Tintle; Beth L. Chance
Chapters 1 - 11, Complete
,TABLE OF CONTENTS
tl tl tl
Chapter 1 – Significance: How Strong is the Evidence
tl tl tl tl tl tl tl tl tl
Chapter 2 – Generalization: How Broadly Do the Results Apply?
tl tl tl tl tl tl tl tl tl tl
Chapter 3 – Estimation: How Large is the Effect?
tl tl tl tl tl tl tl tl tl
Chapter 4 – Causation: Can We Say What Caused the Effect?
tl tl tl tl tl tl tl tl tl tl tl
Chapter 5 – Comparing Two Proportions
tl tl tl tl tl tl
Chapter 6 – Comparing Two Means
tl tl tl tl tl tl
Chapter 7 – Paired Data: One Quantitative Variable
tl tl tl tl tl tl tl tl
Chapter 8 – Comparing More Than Two Proportions
tl tl tl tl tl tl tl tl
Chapter 9 – Comparing More Than Two Means
tl tl tl tl tl tl tl tl
Chapter 10 – Two Quantitative Variables
tl tl tl tl tl tl
Chapter 11 – Modeling Randomness
tl tl tl tl
,Chapter 1 t l
Note: TE = Text entry
tltltl t l t l tl TE-N = Text entry - tl tl tl tl
tl NumericMa = Matching tl t l t l MS = Multiple select
t l tl tl
MC = Multiple choice t l t l tl TF = True- tl tl
FalseE = Easy, M = Medium, H = Hard tl tl tl tl tl tl tl tl tl
CHAPTER 1 LEARNING OBJECTIVES tl tl tl
CLO1-1: Use the chance model to determine whether an observed statistic is unlikely to occur.
tl tl tl tl tl tl tl tl tl tl tl tl tl tl
CLO1-2: Calculate and interpret a p-
tl tl tl tl tl
value, and state the strength of evidence it provides againstthe null hypothesis.
tl tl tl tl tl tl tl tl tl tl tl tl
CLO1-
3: Calculate a standardized statistic for a single proportion and evaluate the strength ofevidenc
tl tl tl tl tl tl tl tl tl tl tl tl tl tl
e it provides against a null hypothesis.
tl tl tl tl tl tl
CLO1-
4: Describe how the distance of the observed statistic from the parameter value specifiedby the null
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
hypothesis, sample size, and one- vs. two- tl tl tl tl tl tl
sided tests affect the strength of evidence against the null hypothesis.
tl tl tl tl tl tl tl tl tl tl
CLO1-5: Describe how to carry out a theory-based, one-proportion z-test.
tl tl tl tl tl tl tl tl tl
Section 1.1: Introduction to Chance Models tl tl tl tl tl
LO1.1-1: Recognize the difference between parameters and statistics.
tl tl tl tl tl tl tl
LO1.1-2: Describe how to use coin tossing to simulate outcomes from a chance model of the ran-
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
dom choice between two events.
tl tl tl tl tl
LO1.1-3: Use the One Proportion applet to carry out the coin tossing simulation.
tl tl tl tl tl tl tl tl tl tl tl tl
LO1.1-
4: Identify whether or not study results are statistically significant and whether or not thechance
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
model is a plausible explanation for the data. tl tl tl tl tl tl tl
LO1.1-
5: Implement the 3S strategy: find a statistic, simulate results from a chance model, andcommen
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
t on strength of evidence against observed study results happening by chance alone.
tl tl tl tl tl tl tl tl tl tl tl tl
LO1.1-
6: Differentiate between saying the chance model is plausible and the chance model is thecorrect ex
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
planation for the observed data. tl tl tl tl
, 1-2 Test Bank for Introduction to Statistical Investigations, 2nd Edition
tl tl tl tl tl tl tl tl
Questions 1 through 4:
tl tl tl
Do red uniform wearers tend to win more often than those wearing blue uniforms in Taekwondo
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
matches where competitors are randomly assigned to wear either a red or blue uniform? In a sam
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
ple of 80 Taekwondo matches, there were 45 matches where thered uniform wearer won.
tl tl tl tl tl tl tl tl tl tl tl tl tl tl
1. What is the parameter of interest for this study?
tl tl tl tl tl tl tl tl
A. The long-run proportion of Taekwondo matches in which the red uniform wearerwins
tl tl tl tl tl tl tl tl tl tl tl tl
B. The proportion of matches in which the red uniform wearer wins in a sample of 80Taekwo
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
ndo matches tl
C. Whether the red uniform wearer wins a match tl tl tl tl tl tl tl
D. 0.50 tl
Ans: A; LO: 1.1-1; Difficulty: Easy; Type: MC
tl tl tl tl tl tl tl
2. What is the statistic for this study?
tl tl tl tl tl tl
A. The long-run proportion of Taekwondo matches in which the red uniform wearerwins
tl tl tl tl tl tl tl tl tl tl tl tl
B. The proportion of matches in which the red uniform wearer wins in a sample of 80Taekwo
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
ndo matches tl
C. Whether the red uniform wearer wins a match tl tl tl tl tl tl tl
D. 0.50 tl
Ans: B; LO: 1.1-1; Difficulty: Easy; Type: MC
tl tl tl tl tl tl tl
3. Given below is the simulated distribution of the number of ―red wins‖ that could happen bychance
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
alone in a sample of 80 matches. Based on this simulation, is our observed result statistically signific
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
ant?
A. Yes, since 45 is larger than 40. tl tl tl tl tl tl
B. Yes, since the height of the dotplot above 45 is smaller than the height of thedotplot a
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
bove 40. tl
C. No, since 45 is a fairly typical outcome if the color of the winner‘s uniform wasdetermi
tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl tl
ned by chance alone. tl tl tl