"Principles of Statistics for Engineers and Scientists" by William Cyrus Navidi

This book offers a clear and concise presentation of applied statistics in a manner especially designed for the needs of a one-semester course that is focused on applications.

Students learn how statistical methods are used by working with real-world data sets and plentiful examples of computer output.

Features
• Many examples and exercises use real data from articles published in scientific journals.
• Many exercises involve interpreting and generating computer output.
• Topics are organized to allow for flexibility in the order of presentation.
• The coverage of multiple regression is clear and intuitive, emphasizing the interpretation of computer output rather than computational formulas.
• Large data sets from published sources allow students to explore a variety of model fitting strategies.

CONTENTS
Dedication
ABOUT THE AUTHOR
Preface
1: Summarizing Univariate Data
2: Summarizing Bivariate Data
3: Probability
4: Commonly Used Distributions
5: Point and Interval Estimation for a Single Sample
6: Hypothesis Tests for a Single Sample
7: Inferences for Two Samples
8: Inference in Linear Models
9: Factorial Experiments
10: Statistical Quality Control
Appendix A: Tables
Appendix B: Bibliography
Answers to Selected Exercises
Index