Probability and Statistics for Engineers and Scientists, 9e
For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.
Features:
- Real-life applications of the Poisson, binomial, and hypergeometric distributions generate student interest using topics such as fl aws in manufactured copper wire, highway potholes, hospital patient traffi c, airport luggage screening, and homeland security.
- Case studies provide deeper insight into the practicality of the concepts.
- Statistical software coverage in case studies includes SAS® and MINITAB®, with screenshots and graphics as appropriate.
- “Pot Holes” comments remind students of the bigger picture and how each chapter fi ts into that picture. These notes also discuss limitations of specific procedures and help students avoid pitfalls in misusing statistics.
- Class projects in several chapters provide the opportunity for students to gather their own experimental data and draw inferences from that data. These projects illustrate the meaning of a concept or provide empirical understanding of important statistical results and are suitable for either group or individual work.
Table of Content:
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
8. Fundamental Sampling Distributions and More Graphical Tools
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. 2k Factorial Experiments and Fractions
16. Nonparametric Statistics
17. Statistical Quality Control
18. Bayesian Statistics
| Book | |
|---|---|
| Author | Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye |
| Pages | 812 |
| Year | 2024 |
| ISBN | 9788119896646 |
| Publisher | Pearson |
| Language | English |
| Uncategorized | |
| Edition | 9/e |
| Weight | 1.3 kg |
| Dimensions | 24.1 x 18.1 x 3.1 cm |
| Binding | Paperback |