Introduction to Statistical Investigations 1st edition by Nathan Tintle, Beth Chance, George Cobb, Allan Rossman, Soma Roy, Todd Swanson, Jill VanderStoep ISBN 1118172140 978-1118172148
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Introduction to Statistical Investigations 1st edition by Nathan Tintle, Beth Chance, George Cobb, Allan Rossman, Soma Roy, Todd Swanson, Jill VanderStoep – Ebook PDF Instant Download/Delivery: 1118172140, 978-1118172148
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ISBN 10: 1118172140
ISBN 13: 978-1118172148
Author: Nathan Tintle, Beth Chance, George Cobb, Allan Rossman, Soma Roy, Todd Swanson, Jill VanderStoep
Introduction to Statistical Investigations, Binder Ready Version leads students to learn about the process of conducting statistical investigations from data collection, to exploring data, to statistical inference, to drawing appropriate conclusions. The text is designed for a one-semester introductory statistics course.
It focuses on genuine research studies, active learning, and effective use of technology. Simulations and randomization tests introduce statistical inference, yielding a strong conceptual foundation that bridges students to theory-based inference approaches. Repetition allows students to see the logic and scope of inference. This implementation follows the GAISE recommendations endorsed by the American Statistical Association. This is an unbound, binder-ready version.
Introduction to Statistical Investigations 1st Table of contents:
UNIT 1 FOUR PILLARS OF INFERENCE: STRENGTH, SIZE, BREADTH, AND CAUSE
CHAPTER 1 Significance: How Strong Is the Evidence?
SECTION 1.1 Introduction to Chance Models
SECTION 1.2 Measuring the Strength of Evidence
SECTION 1.3 Alternative Measure of Strength of Evidence
SECTION 1.4 What Impacts Strength of Evidence?
SECTION 1.5 Inference for a Single Proportion: Theory-Based Approach
CHAPTER 1 Glossary
CHAPTER 1 Exercises
CHAPTER 2 Generalization: How Broadly Do the Results Apply?
SECTION 2.1 Sampling from a Finite Population
SECTION 2.2 Inference for a Single Quantitative Variable
SECTION 2.3 Errors and Significance
CHAPTER 2 Glossary
CHAPTER 2 Exercises
CHAPTER 3 Estimation: How Large Is the Effect?
SECTION 3.1 Statistical Inference: Confidence Intervals
SECTION 3.2 2SD and Theory-Based Confidence Intervals for a Single Proportion
SECTION 3.3 2SD and Theory-Based Confidence Intervals for a Single Mean
SECTION 3.4 Factors that Affect the Width of a Confidence Interval
SECTION 3.5: Cautions When Conducting Inference
CHAPTER 3 Glossary
CHAPTER 3 Exercises
CHAPTER 4 Causation: Can We Say What Caused the Effect?
SECTION 4.1 Association and Confounding
SECTION 4.2 Observational Studies versus Experiments
CHAPTER 4 Glossary
CHAPTER 4 Exercises
UNIT 2 COMPARING TWO GROUPS
CHAPTER 5 Comparing Two Proportions
SECTION 5.1 Comparing Two Groups: Categorical Response
SECTION 5.2 Comparing Two Proportions: Simulation-Based Approach
SECTION 5.3 Comparing Two Proportions: Theory-Based Approach
CHAPTER 5 Glossary
CHAPTER 5 Exercises
CHAPTER 6 Comparing Two Means
SECTION 6.1 Comparing Two Groups: Quantitative Response
SECTION 6.2 Comparing Two Means: Simulation-Based Approach
SECTION 6.3 Comparing Two Means: Theory-Based Approach
CHAPTER 6 Glossary
CHAPTER 6 Exercises
CHAPTER 7 Paired Data: One Quantitative Variable
SECTION 7.1 Paired Designs
SECTION 7.2 Analyzing Paired Data: Simulation-Based Approach
SECTION 7.3 Analyzing Paired Data: Theory-Based Approach
CHAPTER 7 Glossary
CHAPTER 7 Exercises
UNIT 3 ANALYZING MORE GENERAL SITUATIONS
CHAPTER 8 Comparing More Than Two Proportions
SECTION 8.1 Comparing Multiple Proportions: Simulation-Based Approach
SECTION 8.2 Comparing Multiple Proportions: Theory-Based Approach
CHAPTER 8 Glossary
CHAPTER 8 Exercises
CHAPTER 9 Comparing More Than Two Means
SECTION 9.1 Comparing Multiple Means: Simulation-Based Approach
SECTION 9.2 Comparing Multiple Means: Theory-Based Approach
CHAPTER 9 Glossary
CHAPTER 9 Exercises
CHAPTER 10 Two Quantitative Variables
SECTION 10.1 Two Quantitative Variables: Scatterplots and Correlation
SECTION 10.2 Inference for the Correlation Coefficient: Simulation-Based Approach
SECTION 10.3 Least Squares Regression
SECTION 10.4 Inference for the Regression Slope: Simulation-Based Approach
SECTION 10.5 Inference for the Regression Slope: Theory-Based Approach
CHAPTER 10 Glossary
CHAPTER 10 Exercises
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Tags: Nathan Tintle, Beth Chance, George Cobb, Allan Rossman, Soma Roy, Todd Swanson, Jill VanderStoep, Statistical Investigations