9780073401331

Statistics for Engineers and Scientists

by
  • ISBN13:

    9780073401331

  • ISBN10:

    0073401331

  • Edition: 4th
  • Format: Hardcover
  • Copyright: 1/22/2014
  • Publisher: McGraw-Hill Education
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Summary

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.

Table of Contents

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

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