 October 3, 2022

# Applied Statistics and Probability for Engineers (6th Edition)

\$19.99

Download Applied Statistics and Probability for Engineers (6th Edition) written by Douglas C.Montgomery in PDF format. This book is under the category Engineering and bearing the isbn/isbn13 number 1118539710/9781118539712. You may reffer the table below for additional details of the book.

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## Description

This best-selling engineering statistics etextbook; Applied Statistics and Probability for Engineers 6th edition (PDF) provides a practical approach that is more oriented to engineering and the physical and chemical sciences than many similar textbooks. It is packed with really good and unique problem sets that reflect realistic situations real engineers will encounter in their working lives. This textbook shows how statistics; the science of data is just as important for engineers as the electrical; mechanical; and materials sciences.

Applied Statistics and Probability for Engineers 6e PDF is suitable for either a one- or two-term course in statistics and probability. The latest 6th edition of this textbook focuses on real engineering applications; problems and their solutions while including material on the increased emphasis on the use of P-value; bootstrap; combining p-values; coverage of equivalence testing; many new examples and entirely revised homework sections.

book-author Douglas C.Montgomery Wiley; 6th edition PDF 834 pages English B00I8XF5NI 1118539710 9781118539712

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

Appendices

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