Stats: Modeling the World, 5th edition

  • David E. Bock, 
  • Paul F. Velleman, 
  • Richard D. De Veaux, 
  • Floyd Bullard

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Overview

Stats helps you strengthen your statistical-thinking skills by showing you how to analyze data and then having you work through real-world problems and exercises. This Think, Show, and Tell problem-solving method helps you learn what we can find in data, why we find it interesting, and how to report it to others.

Published by Pearson (January 1st 2021) - Copyright © 2019

ISBN-13: 9780137399451

Subject: Introductory Statistics

Category: Stats: Modeling the World

Table of contents

Brief Contents

I. EXPLORING AND UNDERSTANDING DATA

  1. Stats Starts Here
  2. Displaying and Describing Categorical Data
  3. Displaying and Summarizing Quantitative Data
  4. Understanding and Comparing Distributions
  5. The Standard Deviation as a Ruler and the Normal Model
  • Review of Part I: Exploring and Understanding Data

II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES

  1. Scatterplots, Association, and Correlation
  2. Linear Regression
  3. Regression Wisdom
  4. Re-expressing Data: Get It Straight!
  • Review of Part II: Exploring Relationships Between Variables

III. GATHERING DATA

  1. Understanding Randomness
  2. Sample Surveys
  3. Experiments and Observational Studies
  • Review of Part III: Gathering Data

IV. RANDOMNESS AND PROBABILITY

  1. From Randomness to Probability
  2. Probability Rules!
  3. Random Variables
  4. Probability Models
  • Review of Part IV: Randomness and Probability

V. FROM THE DATA AT HAND TO THE WORLD AT LARGE

  1. Sampling Distribution Models
  2. Confidence Intervals for Proportions
  3. Testing Hypotheses About Proportions
  4. More About Tests and Intervals
  5. Comparing Two Proportions
  • Review of Part V: From the Data at Hand to the World at Large

VI. LEARNING ABOUT THE WORLD

  1. Inferences About Means
  2. Comparing Means
  3. Paired Samples and Blocks
  • Review of Part VI: Learning About the World

VII. INFERENCE WHEN VARIABLES ARE RELATED

  1. Comparing Counts
  2. Inferences for Regression
  • Review of Part VII: Inference When Variables Are Related
  1. Analysis of Variance*–online
  2. Multiple Regression*–online

Appendixes:

  1. Selected Formulas
  2. Guide to Statistical Software
  3. Answers
  4. Photo and Text Acknowledgments
  5. Index
  6. Tables

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