Modern Engineering Statistics: Solutions Manual / Edition 1

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More About This Textbook

Overview

An introductory perspective on statistical applications in thefield of engineering

Modern Engineering Statistics presents state-of-the-artstatistical methodology germane to engineering applications. With anice blend of methodology and applications, this book provides andcarefully explains the concepts necessary for students to fullygrasp and appreciate contemporary statistical techniques in thecontext of engineering.

With almost thirty years of teaching experience, many of whichwere spent teaching engineering statistics courses, the author hassuccessfully developed a book that displays modern statisticaltechniques and provides effective tools for student use. This bookfeatures:

  • Examples demonstrating the use of statistical thinking andmethodology for practicing engineers
  • A large number of chapter exercises that provide the opportunityfor readers to solve engineering-related problems, often using realdata sets
  • Clear illustrations of the relationship between hypothesis testsand confidence intervals
  • Extensive use of Minitab and JMP to illustrate statisticalanalyses

The book is written in an engaging style that interconnects andbuilds on discussions, examples, and methods as readers progressfrom chapter to chapter. The assumptions on which the methodologyis based are stated and tested in applications. Each chapterconcludes with a summary highlighting the key points that areneeded in order to advance in the text, as well as a list ofreferences for further reading. Certain chapters that contain morethan a few methods also provide end-of-chapter guidelines on theproper selection and use of those methods. Bridging the gap betweenstatistics education and real-world applications, ModernEngineering Statistics is ideal for either a one- or two-semestercourse in engineering statistics.

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Product Details

  • ISBN-13: 9780470096079
  • Publisher: Wiley
  • Publication date: 9/24/2007
  • Edition description: Solution M
  • Edition number: 1
  • Pages: 188
  • Product dimensions: 6.12 (w) x 9.29 (h) x 0.50 (d)

Table of Contents

1. Methods of Collecting and Presenting Data.

2. Measures of Location and Dispersion.

3. Probability and Common Probability Distributions.

4. Point Estimation.

5. Confidence Intervals an Hypothesis test - One Sample.

6. Confidence intervals and Hypothesis Tests-Two Samples.

7. Tolerance Intervals an Prediction Intervals.

8. Simple Linear Regression, Correlation and Calibration.

9. Multiple Regression.

10. Mechanistic Models.

11. Control Charts and Quality Improvement.

12. Design and Analysis of Experiments.

13. Measurement System Appraisal.

14. Reliability Analysis and Life Testing.

15. Analysis of Categorical Data.

16. Distribution-Free Procedures.

17. Tying It All Together.

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