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

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***INSTANT DOWNLOAD TESTBANK PDF*****Product Description:** Get instant access to the most comprehensive and up-to-date test bank for "Introduction to Statistical Investigations, 2nd Edition" by renowned authors Nathan Tintle and Beth L. Chance. This verified test bank covers all chapters from 1 to 11, ensuring that you have a complete and thorough understanding of statistical investigations. With this test bank, you'll gain access to a wealth of questions and answers that will help you master the concepts of statistical analysis, data interpretation, and critical thinking. The questions are carefully crafted to assess your knowledge and understanding of statistical principles, methods, and applications. Whether you're an instructor looking to create comprehensive quizzes, exams, or assignments, or a student seeking to reinforce your learning, this test bank is an invaluable resource. The newest version guarantees that you'll be working with the most current and relevant material available. **Key Features:** * Covers all chapters from 1 to 11, providing comprehensive coverage of statistical investigations * Includes a vast array of questions and answers to help you assess your knowledge and understanding * Verified by experts to ensure accuracy and relevance * Newest version guarantees the most up-to-date material * Ideal for instructors, students, and anyone looking to reinforce their understanding of statistical investigations **Why Choose This Test Bank?** * Save time and effort with instant access to a comprehensive test bank * Reinforce your learning and understanding of statistical investigations * Get ahead of the curve with the most current and relevant material available * Ideal for instructors, students, and professionals looking to advance their knowledge and skills in statistical analysis.

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Nathan Tintle, Beth L. Chance, George W. Cobb, Allan J. Rossman, Soma Roy, Todd Swanson, Jill VanderStoep Introduction to Statistical Investigations
  • 2020
  • 9781119683452
  • Unknown

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Institution
Introduction to Statistical Investigations, 2e
Course
Introduction to Statistical Investigations, 2e

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Uploaded on
March 4, 2025
Number of pages
403
Written in
2024/2025
Type
Exam (elaborations)
Contains
Questions & answers

Subjects

  • 9781119683452
  • 2nd edition te
  • introduction to statistical investigations 2nd ed
  • introduction to statistical investigations notes
  • introduction to statistical investigations 2e
  • statistical investigations

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TEST BANK

Introduction to Statistical Investigations,

2nd Edition Nathan Tintle; Beth L.

Chance Chapters 1 - 11, Complete




FOR INSTRUCTOR USE ONLY
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,TABLE OF CONTENTS
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Chapter 1 – Significance: How Strong is the Evidence
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Chapter 2 – NW NW




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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FOR INSTRUCTOR USE ONLY
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,Chapter 11 – Modeling Randomness
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FOR INSTRUCTOR USE ONLY
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, Chapter 1 N W




Note: TE =
NWN WN W N W N W Text entry NW TE-N = Text entry - NW NW NW NW




NW NumericMa = Matching W
N N W N W MS = Multiple select
N W N W NW




MC = Multiple choice N W N W NW TF = True-NW NW




FalseE = Easy, M = Medium, H = Hard
W
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CHAPTER 1 LEARNING OBJECTIVES NW NW NW




CLO1-1: Use the chance model to determine whether an observed statistic is unlikely to occur.
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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 o
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fevidence it provides against a null hypothesis.
W
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CLO1-
4: Describe how the distance of the observed statistic from the parameter value specifiedb
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N




y 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 NW NW NW NW NW




LO1.1-1: Recognize the difference between parameters and statistics.
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LO1.1-2: Describe how to use coin tossing to simulate outcomes from a chance model of the ran-
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FOR INSTRUCTOR USE ONLY NW NW NW
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