The Basic Practice of Statistics, 6th Edition

Why are David Moore’s statistics books so successful? They have become the books to beat because Moore was the first author to present the teaching of statistics as a useful tool in practice. Unlike traditional statistics books, Moore’s texts use real data and walk the student through the process of analyzing that data, as opposed to emphasizing formulas, drill-like exercises, and cookbook mathematics. Thus, for the first time, students learn to think like practicing statisticians and to apply what they learn to their lives.

When Moore and McCabe’s Introduction to the Practice of Statistic (IPS) became the #1 book in the market about 5 years ago, statistics instructors realized that a shorter, lower-level, less detailed book based on IPS would also succeed. Hence, David Moore envisioned The Basic Practice of Statistics (BPS)—a text that applies the data analysis approach of IPS but is targeted for a one-term course only. BPS has now become the book to beat, being an ideal match for more schools than any other book in the market.

Table of Contents

Part I Exploring Data
CHAPTER 1 Picturing Distributions with Graphs
CHAPTER 2 Describing Distributions with Numbers
CHAPTER 3 The Normal Distributions
CHAPTER 4 Scatterplots and Correlation
CHAPTER 5 Regression
CHAPTER 6 Two-Way Tables*
CHAPTER 7 Exploring Data: Part I Review

Part II From Explorationto Inference
CHAPTER 8 Producing Data: Sampling
CHAPTER 9 Producing Data: Experiments
CHAPTER 10 Introducing Probability
CHAPTER 11 Sampling Distributions
CHAPTER 12 General Rules of Probability*
CHAPTER 13 Binomial Distributions*
CHAPTER 14 Confidence Intervals: The Basics
CHAPTER 15 Tests of Significance: The Basics
CHAPTER 16 Inference in Practice
CHAPTER 17 From Exploration to Inference: Part II Review

Part III Inference about Variables
CHAPTER 18 Inference about a Population Mean
CHAPTER 19 Two-Sample Problems
CHAPTER 20 Inference about a Population Proportion
CHAPTER 21 Comparing Two Proportions
CHAPTER 22 Inference about Variables: Part III Review

Part IV Inference about Relationships
CHAPTER 23 Two Categorical Variables: The Chi-Square Test
CHAPTER 24 Inference for Regression
CHAPTER 25 One-Way Analysis of Variance: Comparing Several Means

Part V Optional Companion Chapters
CHAPTER 26 Nonparametric Tests
CHAPTER 27 Statistical Process Control
CHAPTER 28 Multiple Regression*
CHAPTER 29 More about Analysis of Variance