Introduction to Probability and Statistics for Engineers and Scientists – Sheldon M. Ross – 4th Edition


This updated text provides a superior introduction to applied and for engineering or science majors. Ross emphasizes the manner in which yields insight into problems; ultimately resulting in an intuitive understanding of the most often used by practicing and scientists. Real data are incorporated in a wide variety of exercises and examples throughout the ; and this emphasis on data motivates the probability coverage.

As with the previous editions; Ross’ text has remendously clear exposition; plus real-data examples and exercises throughout the text. Numerous exercises; examples; and apply probability theory to everyday statistical problems and situations.

Table of Contents

1. Introduction to Statistics
2. Descriptive Statistics
3. Elements of Probability
4. Random Variables and Expectation
5. Special Random Variables
6. Distributions of Sampling Statistics
7. Parameter Estimation
8. Hypothesis Testing
9. Regression
10. Analysis of Variance
11. Goodness of Fit Tests and Categorical Data Analysis
12. NonparametricHypothesisTests
13. Quality Control
14. LifeTesting
15. Simulation, Bootstrap Statistical Methods, and Permutation Tests

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