Statistics for Engineers and Scientists, 4/e (IE-Paperback)

William Navidi

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<內容簡介>

 

Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.

Statistics for Engineers and Scientists 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 is proud to offer Connect with the fourth edition of Navidi's, Statistics for Engineers and Scientists. This innovative and powerful system helps your students learn more efficiently and gives you the ability to customize your homework problems simply and easily. Track individual student performance - by question, assignment, or in relation to the class overall with detailed grade reports. ConnectPlus provides students with all the advantages of Connect, plus 24/7 access to an eBook. Navidi's Statistics for Engineers and Scientists, fourth edition, includes the power of McGraw-Hill’s LearnSmart--a proven adaptive learning system that helps students learn faster, study more efficiently, and retain more knowledge through a series of adaptive questions. This innovative study tool pinpoints concepts the student does not understand and maps out a personalized plan for success.

Features

 

  McGraw-Hill offers Connect with the fourth edition of Navidi's Statistics for Engineers and Scientists . This innovative and powerful system helsps your students learn more efficiently and gives you the ability to assign homework problems simply and easily. Problems are graded automatically, and the results are recorded immediately. Track individual student performance - by questions, assignment, or in relation to the class overall with detailed grade reports. ConnectPlus provides students with all the advantages of Connect , plus 24/7 access to an eBook.

 

  Navidi's Statistics for Engineers and Scientists, fourth edition, includes the power of McGraw-Hill's LearnSmart--a proven adaptive learning system that helps students learn faster, study more efficiently, and retain more knowledge through a series of adaptive questions. This innovative study tool pinpoints concepts the student does not understand and maps out a personalized plan for success.

 

  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. Instructors who prefer a more informal approach may therefore focus on the examples rather than the proofs and skip the optional sections.

 

  An engaging writing style explains difficult concepts clearly. While including the mathematics necessary for clear understanding, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

 

  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. The student edition of MINITAB, the widely used statistical software package, is available bundled with the text.

 

  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.

 

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

 

  Chapter 6 now contains material on tests for a population variance.

 

  A large number of new problems have been included, many of which involve real data from recently published sources.

 

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

 

  The exposition has been improved in a number of places.

 

<章節目錄>

 

Chapter 1: Sampling and Descriptive Statistics
Chapter 2: Probability
Chapter 3: Propagation of Error
Chapter 4: Commonly Used Distributions
Chapter 5: Confidence Intervals
Chapter 6: Hypothesis Testing
Chapter 7: Correlation and Simple Linear Regression
Chapter 8: Multiple Regression
Chapter 9: Factorial Experiments
Chapter 10: Statistical Quality Control
A Tables
B Partial Derivatives
C Suggestions for Further Reading
Answers to Odd-Numbered Exercises
Index