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Introduction to Statistical Investigations (2nd Edition) | Complete Test Bank – Chapters 1–11 | Nathan Tintle & Beth L. Chance 9781119360810

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Introduction to Statistical Investigations (2nd Edition) | Complete Test Bank – Chapters 1–11 | Nathan Tintle & Beth L. Chance 9781119360810

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Uploaded on
June 6, 2025
Number of pages
324
Written in
2024/2025
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TEST BANK aj aj




Introduction to Statistical Investigations,
aj aj aj aj




2nd Edition Nathan Tintle; Beth L. Chance
aj aj aj aj aj aj




Chapters 1 - 11, Complete
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FOR INSTRUCTOR USE ONLY
aj aj aj

,TABLE OF CONTENTS
aj aj aj




Chapter 1 – Significance: How Strong is the Evidence
aj aj aj aj aj aj aj aj aj




Chapter 2 – Generalization: How Broadly Do the Results Apply?
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Chapter 3 – Estimation: How Large is the Effect?
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Chapter 4 – Causation: Can We Say What Caused the Effect?
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Chapter 5 – Comparing Two Proportions
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Chapter 6 – Comparing Two Means
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Chapter 7 – Paired Data: One Quantitative Variable
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Chapter 8 – Comparing More Than Two Proportions
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Chapter 9 – Comparing More Than Two Means
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Chapter 10 – Two Quantitative Variables
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Chapter 11 – Modeling Randomness
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FOR INSTRUCTOR USE ONLY
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,Chapter 1 a j




Note: TE =
aj aj aj a j a j Text entry aj TE-N = Text entry - NumericMa
aj aj aj aj aj ja




a j = a j Matching MS = Multiple select a j aj aj




MC = a j a j Multiple choice aj TF = True-FalseE =
aj aj ja aj




aj Easy, M = Medium, H = Hard aj aj aj aj aj aj




CHAPTER 1 LEARNING OBJECTIVES aj aj aj




CLO1-1: Use the chance model to determine whether an observed statistic is unlikely to occur.
aj aj aj aj aj aj aj aj aj aj aj aj aj aj




CLO1-2: Calculate and interpret a p-value, and state the strength of evidence it provides againstthe null
aj aj aj aj aj aj aj aj aj aj aj aj aj aj ja aj



hypothesis.
aj




CLO1-3: Calculate a standardized statistic for a single proportion and evaluate the strength
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ofevidence it provides against a null hypothesis.
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CLO1-4: Describe how the distance of the observed statistic from the parameter value specifiedby the
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null hypothesis, sample size, and one- vs. two-sided tests affect the strength of evidence against
aj aj aj aj aj aj aj aj aj aj aj aj aj aj aj



the null hypothesis.
aj aj aj




CLO1-5: Describe how to carry out a theory-based, one-proportion z-test.
aj aj aj aj aj aj aj aj aj




Section 1.1: Introduction to Chance Models aj aj aj aj aj




LO1.1-1: Recognize the difference between parameters and statistics.
aj aj aj aj aj aj aj




LO1.1-2: Describe how to use coin tossing to simulate outcomes from a chance model of the ran-dom
aj aj aj aj aj aj aj aj aj aj aj aj aj aj aj aj ja



choice between two events.
aj aj aj aj




LO1.1-3: Use the One Proportion applet to carry out the coin tossing simulation.
aj aj aj aj aj aj aj aj aj aj aj aj




LO1.1-4: Identify whether or not study results are statistically significant and whether or not
aj aj aj aj aj aj aj aj aj aj aj aj aj



thechance model is a plausible explanation for the data.
aj ja aj aj aj aj aj aj aj aj




LO1.1-5: Implement the 3S strategy: find a statistic, simulate results from a chance model,
aj aj aj aj aj aj aj aj aj aj aj aj aj



and comment on strength of evidence against observed study results happening by chance
aj ja aj aj aj aj aj aj aj aj aj aj aj



alone. aj




LO1.1-6: Differentiate between saying the chance model is plausible and the chance model is thecorrect
aj aj aj aj aj aj aj aj aj aj aj aj aj aj ja



explanation for the observed data.
aj aj aj aj aj




FOR INSTRUCTOR USE ONLY aj aj aj

, 1-2 Test Bank for Introduction to Statistical Investigations, 2nd Edition
aj aj aj aj aj aj aj aj




Questions 1 through 4:
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Do red uniform wearers tend to win more often than those wearing blue uniforms in
aj aj aj aj aj aj aj aj aj aj aj aj aj aj



Taekwondo matches where competitors are randomly assigned to wear either a red or blue
aj aj aj aj aj aj aj aj aj aj aj aj aj aj



uniform? In a sample of 80 Taekwondo matches, there were 45 matches where thered
aj aj aj aj aj aj aj aj aj aj aj aj aj aj ja



uniform wearer won.
aj aj aj




1. What is the parameter of interest for this study?
aj aj aj aj aj aj aj aj




A. The long-run proportion of Taekwondo matches in which the red uniform wearerwins
aj aj aj aj aj aj aj aj aj aj aj ja




B. The proportion of matches in which the red uniform wearer wins in a sample of
aj aj aj aj aj aj aj aj aj aj aj aj aj aj



80Taekwondo matches
aj ja aj




C. Whether the red uniform wearer wins a match aj aj aj aj aj aj aj




D. 0.50 aj




Ans: A; LO: 1.1-1; Difficulty: Easy; Type: MC
aj aj aj aj aj aj aj




2. What is the statistic for this study?
aj aj aj aj aj aj




A. The long-run proportion of Taekwondo matches in which the red uniform wearerwins
aj aj aj aj aj aj aj aj aj aj aj ja




B. The proportion of matches in which the red uniform wearer wins in a sample of
aj aj aj aj aj aj aj aj aj aj aj aj aj aj



80Taekwondo matches
aj ja aj




C. Whether the red uniform wearer wins a match aj aj aj aj aj aj aj




D. 0.50 aj




Ans: B; LO: 1.1-1; Difficulty: Easy; Type: MC
aj aj aj aj aj aj aj




3. Given below is the simulated distribution of the number of ―red wins‖ that could happen
aj aj aj aj aj aj aj aj aj aj aj aj aj aj



by chance alone in a sample of 80 matches. Based on this simulation, is our observed result
aj ja aj aj aj aj aj aj aj aj aj aj aj aj aj aj aj



statistically significant?
aj aj




A. Yes, since 45 is larger than 40. aj aj aj aj aj aj




B. Yes, since the height of the dotplot above 45 is smaller than the height of
aj aj aj aj aj aj aj aj aj aj aj aj aj aj



thedotplot above 40.
aj ja aj aj




C. No, since 45 is a fairly typical outcome if the color of the winner‘s uniform
aj aj aj aj aj aj aj aj aj aj aj aj aj aj



wasdetermined by chance alone.
aj ja aj aj aj




FOR INSTRUCTOR USE ONLY aj aj aj

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