Statistics for Engineers and Scientists

© 2015
by William Navidi

4th Edition 928 Pages Hardback
9780073401331 0073401331
  • Description
  • Table of Contents
  • Features

Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets, to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

McGraw-Hill's Connect, is also available as an optional, add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers an may also have a "multi-step solution" which helps move the students' learning along if they experience difficulty.

1) Sampling and Descriptive Statistics

2) Probability

3) Propagation of Error

4) Commonly Used Distributions

5) Confidence Intervals

6) Hypothesis Testing

7) Correlation and Simple Linear Regression

8) Multiple Regression

9) Factorial Experiments

10) Statistical Quality Control

A - Tables

B - Partial Derivatives

C - Suggestions for Further Reading

Answers to Odd-Numbered Exercises


New to this Edition

McGraw-Hill Education Connect is a digital teaching and learning environment that improves performance over a variety of critical outcomes; it is easy to use; and it is proven effective.

Available within McGraw-Hill Education's Connect, SmartBook makes study time as productive and efficient as possible. It identifies and closes knowledge gaps through a continually adapting reading experience that provides personalized learning resources at the precise moment of need. This ensures that every minute spent with SmartBook is returned to the student as the most value-added minute possible. The result? More confidence, better grades, and greater success.

Also available with this edition is MHE's Online Learning Center that features numerous instructor resources including solutions to the problems, an image library, and new lecture PowerPoints for each chapter. You will also find a test bank for each chapter that allows instructors to assign online homework and quizzes - this online homework is gradable and can be edited by instructors.

A new section on confidence intervals for a population variance has been added to Chapter 5.

The material on goodness-of-fit tests has been expanded.

Retained Features

Flexible presentation of probability addresses the needs of different courses. Allowing for a mathematically rigorous approach, the major results are derived from axioms, with proofs given for most of them. Each result is illustrated with an example or two to promote intuitive understanding.

Contemporary, real world data sets, are one of the defining features of this text. With a fresh approach to the subject, the author uses contemporary data sets to help motivate students and show direct connection to industry and research.

In line with modern trends, the text includes numerous examples of computer output and contains exercises suitable for solving with computer software. These examples and exercises involve interpreting, as well as generating, computer output. Also available with this text is the student edition of MINITAB (the widely used statistical software package).

A separate chapter provides extensive coverage of propagation of error, sometimes called "error analysis" or the "delta method." The coverage is more extensive than in most texts, with a flexible format allowing instructors to easily cover selected topics.

The text presents an extensive, self-contained introduction to simulation methods at a level appropriate for introductory students, including the bootstrap and applications to estimating probabilities, estimating bias, computing confidence intervals, and testing hypotheses.

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