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Probability and Statistics for Engineers and Scientists (7TH 02 - Old Edition)

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Probability and Statistics for Engineers and Scientists (7TH 02 - Old Edition) Cover

 

Synopses & Reviews

Please note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.

Publisher Comments:

With its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference, motivated by interesting, relevant applications. Offers extensively updated coverage, new problem sets, and chapter-ending material to enhance the book’s relevance to today’s engineers and scientists. Includes new problem sets demonstrating updated applications to engineering as well as biological, physical, and computer science. Emphasizes key ideas as well as the risks and hazards associated with practical application of the material. Includes new material on topics including: difference between discrete and continuous measurements; binary data; quartiles; importance of experimental design; “dummy” variables; rules for expectations and variances of linear functions; Poisson distribution; Weibull and lognormal distributions;  central limit theorem, and data plotting. Introduces Bayesian statistics, including its applications to many fields.

For those interested in learning more about probability and statistics.

 

Book News Annotation:

Illustrates the use of probabilistic models and statistical methodology for applications in science and engineering. Emphasizing methodology, while not entirely neglecting theory, chapters introduce students to random variables and probability distributions, discrete and continuous probability distributions, functions of random variables, sampling distributions and data descriptions, one- and two-sample estimation problems, simple linear regression and correlation, multiple linear regression, certain nonlinear regression models, multiple factorial experiments, nonparametric statistics, and statistical quality control.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Synopsis:

This classic book provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications. It assumes readers have a background in calculus, and offers a unique balance of theory and methodology. Chapter topics cover an introduction to statistics and data analysis, probability, random variables and probability distributions, mathematical expectation, some discrete probability distributions, some continuous probability distributions, functions of random variables, fundamental sampling distributions and data descriptions, one- and two-sample estimation problems, one- and two-sample tests of hypotheses, simple linear regression and correlation, multiple linear regression and certain nonlinear regression models, one factor experiments: general, factorial experiments (two or more factors), 2k factorial experiments and fractions, nonparametric statistics, and statistical quality control. For individuals trying to apply statistical concepts to real-life, and analyze and interpret data.

About the Author

Raymond H Myers is currently Professor Emeritus of statistics at Virginia Tech. He received his Masters and Ph.D. from Virginia Tech in statistics and his BS in chemical engineering. His major areas of interest are linear models, design of experiments, and response surface methodology. He has authored or co-authored six statistics texts that were published in fifteen separate editions and in several foreign languages.

He has received numerous teaching awards and in 1985 he was selected “Professor of the Year” in the state of Virginia by the Council on the Advancement and Support of Education. He was elected Fellow of ASA in 1974. In 1999 he was given the Shewhart Award for lifetime contributions in statistics and quality control by the American Society of Quality.

 

 

Sharon L Myers is currently Professor Emeritus of mathematics and statistics at Radford University. She received her MS in statistics from Virginia Tech. Her areas  of interest are statistical computing, regression analysis, and response surface methodology. She has co-authored three editions of “Probability & Statistics for Engineers & Scientists”. She was the assistant director of the statistical consulting center at Virginia Tech for 15 years and the director of the statistical consulting center at Radford University for 7 years.

 

Keying Ye, University of Texas at San Antonio

Table of Contents

1. Introduction to Statistics and Data Analysis

2. Probability

3. Random Variables and Probability Distributions

4. Mathematical Expectations

5. Some Discrete Probability Distributions

6. Some Continuous Probability Distributions

7. Functions of Random Variables (optional)

8. Fundamental Distributions and Data Description

9. One and Two Sample Estimation Problems

10. One and Two Sided Tests of Hypotheses

11. Simple Linear Regression

12. Multiple Linear Regression

13. One Factor Experiments:  General

14. Factorial Experiments (Two or More Factors)

15. 2k Factorial Experiments and Fractions

16. Nonparametric Statistics     

17. Statistical Quality Control

18. Bayesian Statistics

 

Product Details

ISBN:
9780130415295
Author:
Walpole, Ronald E.
Author:
Myers, Sharon L.
Compiled:
Cram 101
Author:
Walpole and Myers and Myers and Ye, 7th
Author:
Ye, Keying
Author:
Cram 101
Author:
Cram101 Textbook Reviews
Author:
Walpole, Ronald E.
Author:
Cram101 Textbook Reviews, Textbook Revie
Author:
Myers, Raymond H.
Publisher:
Academic Internet Publishers
Location:
Upper Saddle River, NJ
Subject:
Engineering - General
Subject:
Engineering
Subject:
Statistics
Subject:
Applied
Subject:
Probability
Subject:
Probabilities
Subject:
Probability & Statistics - General
Subject:
Book Notes
Copyright:
Edition Number:
7
Edition Description:
Includes bibliographical references and index.
Series:
Cram101 Textbook Outlines
Publication Date:
20060223
Binding:
Hardback
Grade Level:
College/higher education:
Language:
English
Pages:
848
Dimensions:
11.00x8.25x.24 in. .62 lbs.

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Related Subjects

Science and Mathematics » Mathematics » Probability and Statistics » General

Probability and Statistics for Engineers and Scientists (7TH 02 - Old Edition) Used Hardcover
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Product details 848 pages Prentice Hall - English 9780130415295 Reviews:
"Synopsis" by , This classic book provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications. It assumes readers have a background in calculus, and offers a unique balance of theory and methodology. Chapter topics cover an introduction to statistics and data analysis, probability, random variables and probability distributions, mathematical expectation, some discrete probability distributions, some continuous probability distributions, functions of random variables, fundamental sampling distributions and data descriptions, one- and two-sample estimation problems, one- and two-sample tests of hypotheses, simple linear regression and correlation, multiple linear regression and certain nonlinear regression models, one factor experiments: general, factorial experiments (two or more factors), 2k factorial experiments and fractions, nonparametric statistics, and statistical quality control. For individuals trying to apply statistical concepts to real-life, and analyze and interpret data.
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