Introductory Statistics - 3rd Edition - ISBN: 9780123743886, 9780080922102

Introductory Statistics

3rd Edition

Authors: Sheldon Ross
Hardcover ISBN: 9780123743886
eBook ISBN: 9780080922102
Imprint: Academic Press
Published Date: 11th February 2010
Page Count: 848
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In this third edition revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, and an explanation of intuition and ideas behind the statistical methods. Concepts are motivated, illustrated and explained in a way that attempts to increase one's intuition. To quote from the preface, "It is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data."

Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions and examples.

Applications and examples refer to real-world issues, such as gun control, stock price models, health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud and many others.

Key Features

  • Unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context
  • Use of exercises and examples helps guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud.
  • Summary/Key Terms- chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools


This text is written for the introductory non-calculus based statistics course offered in mathematics and/or statistics departments for undergraduate students of any major who take a semester course in basic Statistics or a year course in Probability and Statistics.

Table of Contents


Introduction to Statistics

Describing Data Sets Using Statistics to Summarize

Data Sets Probability

Discrete Random Variables

Normal Random Variables

Distributions of Sampling

Statistics Estimation Testing

Statistical Hypotheses

Hypothesis Tests Concerning Two Populations

Analysis of Variance Linear Regression

Chi-Squared Goodness of Fit Tests

Nonparametric Hypotheses


Quality Control



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About the Author

Sheldon Ross

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.

Affiliations and Expertise

University of Southern California, Los Angeles, USA