Applied Statistics and Probability for Engineers (6th Edition)

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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Douglas C.Montgomery


Wiley; 6th edition




834 pages









Book Description

This popular etextbook on engineering statistics, Applied Statistics and Probability for Engineers 6th edition (PDF), offers a more hands-on approach that is more geared toward engineering as well as the physical and chemical sciences than many other textbooks that are very similar. It is filled to the brim with really good and one-of-a-kind problem sets that depict realistic circumstances that real engineers would face in the course of their professional lives. This textbook demonstrates how vital statistics and the science of data are for engineers, placing them on equal footing with the fields of electrical engineering, mechanical engineering, and materials science.

This sixth edition of Applied Statistics and Probability for Engineers is designed to accommodate either a one- or two-term course on statistics and probability. The most recent edition of this textbook, which is the sixth one, places more of an emphasis on real-world engineering applications, problems, and their solutions. It also includes new material on an increased emphasis on the use of P-values, bootstrap, combining p-values, coverage of equivalence testing, many new examples, and completely revised homework sections.

Table of contents

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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