# Introductory Statistics

In this 3rd 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.

Ancillary list:

• Instructor's Manual - http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123743886
• Student Solutions Manual - http://www.elsevierdirect.com/product.jsp?isbn=9780123743886
• Student Solutions Manual for 2nd Edition - http://www.elsevierdirect.com/product.jsp?isbn=9780120885510
• Sample Chapter, eBook - http://www.elsevierdirect.com/product.jsp?isbn=9780123743886
• Companion Website w/Data Sets - http://www.elsevierdirect.com/companion.jsp?ISBN=9780123743886

Audience
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.

Hardbound, 848 Pages

Published: February 2010

ISBN: 978-0-12-374388-6

## Contents

• Preface

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

Tests

Quality Control

Appendices