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


This updated text provides a superior introduction to applied probability and for or majors. Ross emphasizes the manner in which probability yields insight into statistical ; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and . Real data sets 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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