Solutions Manual to accompany Modern Engineering Statistics

by Ryan, Thomas P.

• ISBN13: 9780470096079
• ISBN10: 0470096071
• Edition: 1st
• Format: Paperback
• Copyright: 2007-10-12
• Publisher: Wiley-Interscience

Summary

The objective of this book is to motivate an appreciation of contemporary statistical techniques within the context of engineering. The author presents an optimum blend between statistical thinking and statistical methodology through emphasis of a broad sweep of "tools" rather than endless streams of seemingly unrelated methods and formulae. The book has many novel features, including (among others) the connection that is made (but rarely illustrated) between hypothesis testing and confidence intervals and the discussions of topics such as mechanistic models and prediction intervals. Though computing equations are kept to a minimum, MINITAB and JMP from SAS are discretely employed as the statistical software packages of choice due to their simplicity and popularity among Six Sigma enthusiasts. There is a generous selection of homework problems.

Author Biography

Thomas P. Ryan, PhD, served on the Editorial Review Board of the Journal of Quality Technology from 1990 to 2006, including three years as the book review editor. He is the author of four books published by Wiley and is an elected Fellow of the American Statistical Association, the American Society for Quality, and the Royal Statistical Society. He currently teaches advanced courses on design of experiments and engineering statistics at statistics.com and serves as a consultant to Cytel Software Corporation.

Table of Contents

Methods of Collecting and Presenting Data	p. 1
Measures of Location and Dispersion	p. 27
Probability and Common Probability Distributions	p. 37
Point Estimation	p. 51
Confidence Intervals and Hypothesis Tests-One Sample	p. 59
Confidence Intervals and Hypothesis Tests-Two Samples	p. 73
Tolerance Intervals and Prediction Intervals	p. 83
Simple Linear Regression, Correlation and Calibration	p. 87
Multiple Regression	p. 101
Mechanistic Models	p. 117
Control Charts and Quality Improvement	p. 121
Design and Analysis of Experiments	p. 139
Measurement System Appraisal	p. 155
Reliability Analysis and Life Testing	p. 157
Analysis of Categorical Data	p. 163
Distribution-Free Procedures	p. 171
Tying It All Together	p. 175
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