The Basic Practice of Statistics

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Edition: 9th
Format: Paperback
Pub. Date: 2021-01-29
Publisher(s): W. H. Freeman
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Now available with Macmillan’s new online learning tool Achieve, the ninth edition of The Basic Practice of Statistics 9e teaches statistical thinking by guiding students through an investigative process of problem-solving with pedagogy designed to help students of all levels. Examples and exercises from a wide variety of topic areas use current, real data to provide students insight into how and why statistics are used to make decisions in the real world.

Achieve for The Basic Practice of Statistics connects the trusted Four-Step problem-solving approach and real world examples in the book to rich digital resources that foster further understanding and application of statistics. Assets in Achieve support learning before, during, and after class for students, while providing instructors with class performance analytics in an easy-to-use interface.

Table of Contents

Chapter 0 Getting Started

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: Producing Data
Chapter 8 Producing Data: Sampling
Chapter 9 Producing Data: Experiments
Chapter 10 Data Ethics
Chapter 11 Producing Data: Part II Review

Part III: From Data Production to Inference
Chapter 12 Introducing Probability
Chapter 13 General Rules of Probability
Chapter 14 Binomial Distributions
Chapter 15 Sampling Distributions
Chapter 16 Confidence Intervals: The Basics
Chapter 17 Tests of Significance: The Basics
Chapter 18 Inference in Practice
Chapter 19 From Data Production to Inference: Part III Review

Part IV: Inference about Variables
Chapter 20 Inference about a Population Mean
Chapter 21 Comparing Two Means
Chapter 22 Inference about a Population Proportion
Chapter 23 Comparing Two Proportions
Chapter 24 Inference about Variables: Part IV Review
Chapter 25 Categorical Variables: The Chi-Square Test
Chapter 26 Inference for Regression
Chapter 27 One-Way Analysis of Variance: Comparing Several Means

Part VI: Optional Companion Chapters Available Online
Chapter 28 Nonparametric Tests
Chapter 29 Multiple Regression
Chapter 30 Two-Way Analysis of Variance
Chapter 31 Statistical Process Control
Chapter 32 Resampling: Permutation Tests and the Bootstrap

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