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Applied Statistics and Probability for Engineers, Student Workbook with Solutions / Edition 3

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Overview

This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It's packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives.
Each copy of the book includes an e-Text on CD - that is a complete electronic version of book. This e-Text features enlarged figures, worked-out solutions, links to data sets for problems solved with a computer, multiple links between glossary terms and text sections for quick and easy reference, and a wealth of additional material to create a dynamic study environment for students.
Suitable for a one- or two-term Jr/Sr course in probability and statistics for all engineering majors.
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Editorial Reviews

Booknews
An introductory textbook for a first course in applied statistics and probability for undergraduate students in engineering and the physical or chemical sciences. All of the examples and exercises are engineering-based and in almost all cases they use real data. Throughout, output from Statgraphics and SAS is presented to exemplify what can be done with modern statistical software. Assumes one or two semesters of calculus. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780471426820
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 12/25/2003
  • Edition description: REV
  • Edition number: 3
  • Pages: 300
  • Product dimensions: 8.25 (w) x 11.00 (h) x 0.88 (d)

Table of Contents

Ch. 1 The Role of Statistics in Engineering 1
Ch. 2 Probability 16
Ch. 3 Discrete Random Variables and Probability Distributions 59
Ch. 4 Continuous Random Variables and Probability Distributions 97
Ch. 5 Joint Probability Distributions 141
Ch. 6 Random Sampling and Data Description 189
Ch. 7 Point Estimation of Parameters 220
Ch. 8 Statistical Intervals for a Single Sample 247
Ch. 9 Tests of Hypotheses for a Single Sample 277
Ch. 10 Statistical Inference for Two Samples 327
Ch. 11 Simple Linear Regression and Correlation 372
Ch. 12 Multiple Linear Regression 410
Ch. 13 Design and Analysis of Single-Factor Experiments: The Analysis of Variance 468
Ch. 14 Design of Experiments with Several Factors 505
Ch. 15 Nonparametric Statistics 571
Ch. 16 Statistical Quality Control 595
Appendices 649
Glossary 689
Index 703
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