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Applied Statistics and Probability for Engineers / Edition 6

Applied Statistics and Probability for Engineers / Edition 6

by Douglas C. Montgomery, George C. Runger
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Applied Statistics and Probability for Engineers, 6th Edition provides a practical approach oriented to engineering as well as chemical and physical sciences. Students learn how the material will be relevant in their careers through the integration throughout of unique problem sets that reflect realistic applications and situations. Applied Statistics, 6e is suitable for either a one- or two-term course in probability and statistics. The 6th edition of this text focuses on real engineering applications and real engineering solutions while including material on the bootstrap, increased emphasis on the use of P-value, coverage of equivalence testing, combining p-values, many new examples and entirely revised homework sections.

Product Details

ISBN-13: 9781118539712
Publisher: Wiley
Publication date: 11/11/2013
Edition description: New Edition
Pages: 832
Sales rank: 970,093
Product dimensions: 8.10(w) x 10.00(h) x 1.30(d)

About the Author

Dr. Douglas C. Montgomery is Regents' Professor of Industrial Engineering and Statistics and ASU Foundation Professor of Engineering at Arizona State University. His previous academic positions include John M. Fluke Distinguished Professor of Engineering, Director of Industrial Engineering and Professor of Mechanical Engineering at the University of Washington in Seattle and Professor of Industrial & Systems Engineering at the Georgia Institute of Technology. He holds BSIE, MS and PhD degrees from Virginia Tech.

Table of Contents

Chapter 1 The Role of Statistics in Engineering

Chapter 2 Probability

Chapter 3 Discrete Random Variables and Probability Distributions

Chapter 4 Continuous Random Variables and Probability Distributions

Chapter 5 Joint Probability Distributions

Chapter 6 Descriptive Statistics

Chapter 7 Sampling Distributions and Point Estimation of Parameters

Chapter 8 Statistical Intervals for a Single Sample

Chapter 9 Tests of Hypotheses for a Single Sample

Chapter 10 Statistical Inference for Two Samples

Chapter 11 Simple Linear Regression and Correlation

Chapter 12 Multiple Linear Regression

Chapter 13 Design and Analysis of Single-Factor Experiments: The Analysis of Variance

Chapter 14 Design of Experiments with Several Factors

Chapter 15 Statistical Quality Control


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