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Probability and Statistics for Engineers and Scientists / Edition 5
     

Probability and Statistics for Engineers and Scientists / Edition 5

by Ronald E. Walpole, Raymond H. Myers
 

ISBN-10: 0024242012

ISBN-13: 9780024242013

Pub. Date: 01/28/1993

Publisher: Prentice Hall Professional Technical Reference

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

Overview

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.

Product Details

ISBN-13:
9780024242013
Publisher:
Prentice Hall Professional Technical Reference
Publication date:
01/28/1993
Edition description:
Older Edition
Pages:
784
Product dimensions:
7.48(w) x 9.45(h) x (d)

Table of Contents

Preface.
1. Introduction to Statistics and Data Analysis.
2. Probability.
3. Random Variables and Probability Distributions.
4. Mathematical Expectation.
5. Some Discrete Probability Distributions.
6. Some Continuous Probability Distributions.
7. Functions of Random Variables (Optional).
8. Fundamental Sampling Distributions and Data Descriptions.
9. One- and Two-Sample Estimation Problems.
10. One- and Two-Sample Tests of Hypotheses.
11. Simple Linear Regression and Correlation.
12. Multiple Linear Regression and Certain Nonlinear Regression Models.
13. One Factor Experiments: General.
14. Factorial Experiments (Two or More Factors).
15. 2^k Factorial Experiments and Fractions.
16. Nonparametric Statistics.
17. Statistical Quality Control.
Bibliography.
Appendix: Statistical Tables and Proofs of Some Theoretical Results.

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