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TEST BANK For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, Verified Chapters 1 - 11, Complete Newest Version $17.99
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TEST BANK For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, Verified Chapters 1 - 11, Complete Newest Version
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TEST BANK For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, Verified Chapters 1 - 11, Complete Newest Version TEST BANK For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, Verified Chapters 1 - 11, Complete Newes...

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  • March 17, 2024
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FOR INSTRUCTOR USE ONLY TEST BANK Introduction to Statistical Investigations, 2nd Edition Nathan Tintle; Beth L. Chance Chapters 1 - 11, Complete FOR INSTRUCTOR USE ONLY TABLE OF CONTENTS Chapter 1 – Significance: How Strong is the Evidence Chapter 2 – Generalization: How Broadly Do the Results Apply? Chapter 3 – Estimation: How Large is the Effect? Chapter 4 – Causation: Can We Say What Caused the Effect? Chapter 5 – Comparing Two Proportions Chapter 6 – Comparing Two Means Chapter 7 – Paired Data: One Quantitative Variable Chapter 8 – Comparing More Than Two Proportions Chapter 9 – Comparing More Than Two Means Chapter 10 – Two Quantitative Variables Chapter 11 – Modeling Randomness FOR INSTRUCTOR USE ONLY Chapter 1 Note: TE = Text entry TE-N = Text entry - Numeric Ma = Matching MS = Multiple select MC = Multiple choice TF = True-False E = Easy, M = Medium, H = Hard CHAPTER 1 LEARNING OBJECTIVES CLO1-1: Use the chance model to determine whether an observed statistic is unlikely to occur. CLO1-2: Calculate and interpret a p-value, and state the strength of evidence it provides against the null hypothesis. CLO1-3: Calculate a standardized statistic for a single proportion and evaluate the strength of evidence it provides against a null hypothesis. CLO1-4: Describe how the distance of the observed statistic from the parameter value specifi ed by the null hypothesis, sample size, and one- vs. two-sided tests affect the streng th of evidence against the null hypothesis. CLO1- 5: Describe how to carry out a theory-based, one-proportion z-test. Section 1.1: Introduction to Chance Models LO1.1- 1: Recognize the difference between parameters and statistics. LO1.1- 2: Describe how to use coin tossing to simulate outcomes from a chance model of the ran- dom choice between two events. LO1.1-3: Use the One Proportion applet to carry out the coin tossing si mulation. LO1.1-4: Identify whether or not study results are statistically significant and whether or not the chance model is a plausible explanation for the data. LO1.1-5: Implement the 3S strategy: find a statistic, simulate results from a chan ce model, and comment on strength of evidence against observed study results happening by chance alone. LO1.1-6: Differentiate between saying the chance model is plausible and the chance m odel is the correct explanation for the observed data. FOR INSTRUCTOR USE ONLY 1-2 Test Bank for Introduction to Statistical Investigations , 2nd Edition Questions 1 through 4: Do red uniform wearers tend to win more often than those wearing blue uniforms in Taekwondo matches where competitors are randomly assigned to wear either a red or blue uniform? In a sample of 80 Taekwondo matches, there were 45 matches where the red unif orm wearer won. 1. What is the parameter of interest for this study? A. The long-run proportion of Taekwondo matches in which the red uniform wearer wins B. The proportion of matches in which the red uniform wearer wins in a sample of 80 Taekwondo matches C. Whether the red uniform wearer wins a match D. 0.50 Ans: A; LO: 1.1-1; Difficulty: Easy; Type: MC 2. What is the statistic for this study? A. The long-run proportion of Taekwondo matches in which the red uniform wearer wins B. The proportion of matches in which the red uniform wearer wins in a sample of 80 Taekwondo matches C. Whether the red uniform wearer wins a match D. 0.50 Ans: B; LO: 1.1-1; Difficulty: Easy; Type: MC 3. Given below is the simulated distribution of the number of ―red wins‖ that could happen by chance alone in a sample of 80 matches. Based on this simulation, is our observed result statistically significant? A. Yes, since 45 is larger than 40. B. Yes, since the height of the dotplot above 45 is smaller than the height of the dotplot above 40. C. No, since 45 is a fairly typical outcome if the color of the winner ‘s uniform was determined by chance alone.

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