Introductory Statistics, 9th Edition

Weiss’s Introductory Statistics, Ninth Edition is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. The text is suitable for a one- or two-semester course. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and more than 2,600 exercises, most using real data, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical literacy.

Introductory Statistics, Ninth Edition, contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows both the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two.

This edition continues the book’s tradition of being on the cutting edge of statistical pedagogy, technology, and data analysis. It includes hundreds of new and updated exercises with real data from journals, magazines, newspapers, and websites.

Datasets and other resources (where applicable) for this book are available here.

Table of Contents

PART I: Introduction
CHAPTER 1 The Nature of Statistics

PART II: Descriptive Statistics
CHAPTER 2 Organizing Data
CHAPTER 3 Descriptive Measures

PART III: Probability, Random Variables, and Sampling Distributions
CHAPTER 4 Probability Concepts
CHAPTER 5 Discrete Random Variables
CHAPTER 6 The Normal Distribution
CHAPTER 7 The Sampling Distribution of the Sample Mean

PART IV: Inferential Statistics
CHAPTER 8 Confidence Intervals for One Population Mean
CHAPTER 9 Hypothesis Tests for One Population Mean
CHAPTER 10 Inferences for Two Population Means
CHAPTER 11 Inferences for Population Standard Deviations
CHAPTER 12 Inferences for Population Proportions
CHAPTER 13 Chi-Square Procedures

PART V: Regression, Correlation, and ANOVA
CHAPTER 14 Descriptive Methods in Regression and Correlation
CHAPTER 15 Inferential Methods in Regression and Correlation
CHAPTER 16 Analysis of Variance (ANOVA)