Using and understanding statistics and statistical procedures have become required skills in virtually every profession and academic discipline. The purpose of this book is to help students grasp basic statistical concepts and techniques, and to present real-life opportunities for applying them.
About This Book
The text is intended for a one-quarter or one-semester course. Instructors can easily fit the text to the pace and depth they prefer. Introductory high school algebra is a sufficient prerequisite.
Although mathematically and statistically sound, the approach doesn’t require students to examine complex concepts such as probability theory and random variables. Students need only understand basic ideas such as percentages and histograms.
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 exercises with real data from journals, magazines, newspapers, and Web sites.
We support and adhere to the following Guidelines for Assessment and Instruction in Statistics Education (GAISE), funded and endorsed by theAmerican Statistical Association:
• Emphasize statistical literacy and develop statistical thinking.
• Use real data.
• Stress conceptual understanding rather than mere knowledge of procedures.
• Foster active learning in the classroom.
• Use technology for developing conceptual understanding and analyzing data.
• Use assessments to improve and evaluate student learning.
Part I Introduction
- Chapter 1 The Nature of Statistics
Part II Descriptive Statistics
- Chapter 2 Organizing Data
- Chapter 3 Descriptive Measures
- Chapter 4 Descriptive Methods in Regression and Correlation
Part III Probability, Random Variables, and Sampling Distributions
- Chapter 5 Probability and 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 Proportions
- Chapter 12 Chi-Square Procedures
- Chapter 13 Analysis of Variance (ANOVA)
- Chapter 14 Inferential Methods in Regression and Correlation