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

TESTBANK
IntroductiontoStatisticalInvestigations,
2ndEditionNathanTintle;BethL.Chance
Chapters1-11,Complete




FOR INSTRUCTOR USE ON
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Chapter 1 – Significance: How Strong is the Evidence
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Chapter 2 – ws ws




Generalization: How Broadly Do the Results Apply? Chapter 3 –
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ws Estimation: How Large is the Effect?
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Chapter 4 – ws ws




Causation: Can We Say What Caused the Effect? Chapter 5 –
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ws Comparing Two Proportions ws ws




Chapter 6 – Comparing Two Means
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Chapter 7 – ws ws




Paired Data: One Quantitative Variable Chapter 8 –
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Comparing More Than Two Proportions Chapter 9 –
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ws Comparing More Than Two Means Chapter 10 –
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ws Two Quantitative Variables
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Chapter 11 – Modeling Randomness
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Note: w s TE = Text entry
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ws NumericMa = Matching w s w s




MS = Multiple select
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ws MC = Multiple choice
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FalseE = Easy, M = Medium, H = Hard
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CHAPTER 1 LEARNING OBJECTIVES ws ws ws




CLO1-
1: Use the chance model to determine whether an observed statistic is unlikely to occur.
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s CLO1-2: Calculate and interpret a p-
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value, and state the strength of evidence it provides againstthe null hypothesis.
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CLO1-
3: Calculate a standardized statistic for a single proportion and evaluate the strength ofevi
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de nce 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
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the null hypothesis, sample size, and one- vs. two-
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sided tests affect the strength of evidence against the null hypothesis.
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CLO1-5: Describe how to carry out a theory-based, one-proportion z-test.
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Section 1.1: Introduction to Chance Models
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LO1.1-1: Recognize the difference between parameters and statistics.
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LO1.1-
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he ran- dom choice between two events.
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LO1.1-
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