Applied Statistics and Probability for Engineers 3rd edition by Douglas Montgomery, George Runger – Ebook PDF Instant Download/Delivery: 0471204544, 978-0471204541
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Product details:
ISBN 10: 0471204544
ISBN 13: 978-0471204541
Author: Douglas Montgomery, George Runger
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.
Applied Statistics and Probability for Engineers 3rd Table of contents:
Chapter 1: The Role of Statistics in Engineering
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Chapter 2: Probablity
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Solutions Manual (Word)
Solutions Manual (PDF) (equires Adobe Acrobat Reader PowerPoint Slides
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Chapter 3: Discrete Random Variables and Probability Distributions
Data Sets in Excel
Data Sets in Minitab
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Solutions Manual (Word)
Solutions Manual (PDF) (equires Adobe Acrobat Reader
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Chapter 4: Continuous Random Variables and Probability Distributions
Data Sets in Excel
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Solutions Manual (Word)
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Chapter 5: Joint Probability Distributions
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Solutions Manual (Word)
Solutions Manual (PDF) Adobe Acrobat Reader
PowerPoint Slides
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Chapter 6: Random Sampling and Data Description
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Solutions Manual (Word)
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Chapter 7: Point Estimation of Parameters
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Chapter 8: StatisticalInterval for Single Sample
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Chapter 9: Tests of Hypotheses for a Single Sample
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Chapter 10: Statistical Inference for Two Samples
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Chapter 11:Simple Linear Regression and Correlation
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Chapter 12: Multiple Linear Regression
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Chapter 13: Design and Analysis of Single-Factor Experiments: The Analysis of Variance
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Chapter 14: Design of Experiments with Several Factors
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Chapter 15: Nonparametric Statistic
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Chapter 16: Statistical Quality Control
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