Elementary Statistical Concepts

Science & Math

Walpole, Ronald E.

Mathematics

Macmillan Pub. Co.

square large hardback blue and colourful, a fresh and clean copy

Introduction to statistics

Macmillan

Introduction to Statistics

Probability and statistics for engineers and scientists

Collier/Macmillan

This supplement contains detailed solutions to every exercise in the text. Most of the multiple linear regression and analysis-of-variance problems were solved using the computer software package SAS. One could just as well use other packages, or simply write your own programme. Copies of programmes in both BASIC and PASCAL that can be used in the absence of the more popular commercial software packages may be found in the appendix of the Student's Solutions Manual.

Instructor's solutions supplement to accompany Probability and statistics for engineers and scientists

Student's solutions supplement to accompany Probability and statistics for engineers and scientists

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.

Probability and Statistics for Engineers and Scientists (7th Edition)

Myers, Raymond H.

Ye, Keying

Myers, Sharon L.

Yee, Keying

PRENTICE/HALL

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 l

Probability & Statistics for Engineers & Scientists

Pearson College Div

This classic book provides a rigorous introduction to basic probability theory and statistical inference that is well motivated by interesting, relevant applications. The new edition features many new, real-data based exercises and examples, an increased emphasis on the analysis of statistical output and greater use of graphical techniques and statistical methods in quality improvement.

Probability and Statistics for Engineers and Scientists

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