**Complete eTextbook Content:**

Part I: The R Language

1. Basics of R

2. Summarizing Statistical Data

3. Graphical Displays

Part II: Fundamentals of Probability

4. Probability Basics

5. Rules of Probability

6. Conditional Probability

7. Posterior Probability and Bayes

8. Reliability

Part III: Discrete Distributions

9. Introduction to Discrete Distributions

10. The Geometric Distribution

11. The Binomial Distribution

12. The Hypergeometric Distribution

13. The Poisson Distribution

14. Sampling Inspection Schemes

Part IV: Continuous Distributions

15. Introduction to Continuous Distributions

16. The Exponential Distribution

17. Queues

18. The Normal Distribution

19. Process Control

Part V: Tailing Off

20. The Inequalities of Markov and Chebyshev

Appendix A: Data: Examination Results

Appendix B: The Line of Best Fit: Coefficient Derivations

Appendix C: Variance Derivations

Appendix D: Binomial Approximation to the Hypergeometric

Appendix E: Normal Tables

Appendix F: The Inequalities of Markov and Chebyshev

**Click here to download the sample files**

Name: Probability with R: An Introduction with Computer Science Applications, 2nd Edition

Author: Jane M. Horgan

Edition: 2nd

ISBN-10: 1119536944

ISBN-13: 978-1119536949

Type: eTextbook

This is a eBook for the actual textbook of Probability with R: An Introduction with Computer Science Applications, 2nd Edition, by Jane M. Horgan.

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