Engineering Statistics Demystified

Overview

Clueless? Feel Like a Dummy? Get Demystified!

This versatile reference offers solid coverage of the basics of traditional engineering statistics and also incorporates examples from the most popular statistical software programs, making it equally valuable to professionals.

Table of contents

Preface
Acknowledgments
Chapter 1: Treatment of Data Using EXCEL, MINITAB, SAS, SPSS, and STATISTIX
Chapter 2: Probability
Chapter 3: Probability Distributions for Discrete Random Variables
Chapter 4: Probability Densities for Continuous Random Variables and Introductionto MAPLE
Chapter 5: Sampling Distributions
Chapter 6: Inferences Concerning Means
Chapter 7: Inferences Concerning Variances
Chapter 8: Inferences Concerning Proportions
FINAL EXAMINATIONS
SOLUTIONS TO CHAPTER EXERCISES
BIBLIOGRAPHY
INDEX

Biographical note

Larry Stephens is a professor of mathematics
at the University of Nebraska and has also worked for NASA. He
is the author of McGraw-Hill's Advanced Statistics Demystified and
Schaum's Outline of Beginning Statistics.

Back cover copy

It's safe to infer that YOU'LL MASTER ENGINEERING STATISTICS

Learn how to implement statistics in engineering applications -- even if you don't have formal training, unlimited time, or a genius IQ. Engineering Statistics Demystified offers an effective, enlightening, and entertaining way to learn this complex subject.

Written by statistics professor Larry J. Stephens, this book introduces you to several statistical software programs and encourages you to use these programs along with the book. You'll study probability distributions for discrete and continuous random variables as well as sampling distributions, and make statistical inferences concerning means, variances, and proportions. Packed with examples from the featured statistical programs and including end-of-chapter exercises and two final exams, this book will teach you the fundamentals of engineering statistics in no time at all.

This hands-on, self-teaching guide offers:
An easy way to understand engineering statistics
Explanations on how to use several statistical software programs, including EXCEL, MINITAB, SAS, SPSS, STATISTIX, and MAPLE
Real-world examples
Exercises at the end of each chapter to reinforce learning and pinpoint weaknesses
Two final exams at the end of the book, along with their solutions
A time-saving approach to performing better on an exam or at work

Simple enough for a beginner, but challenging enough for an advanced student, Engineering Statistics Demystified is your shortcut to mastering this challenging topic.