Introduction to Probability 1st edition by Ward Gundlach Solution Manual

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Product description:

Unlike most probability textbooks, which are only truly accessible to mathematically-oriented students, Ward and Gundlach’s Introduction to Probability reaches out to a much wider introductory-level audience.  Its conversational style, highly visual approach, practical examples, and step-by-step problem solving procedures help all kinds of students understand the basics of probability theory and its broad applications.  The book was extensively class-tested through its preliminary edition, to make it even more effective at building confidence in students who have viable problem-solving potential but are not fully comfortable in the culture of mathematics.

Introduction to Probability 1st edition by Ward Gundlach Solution Manual

Table of content:

I. Randomness.

2. Probability.

3. Independent Events.
4. Conditional Probability.
5. Bayes’ Theorem.
6. Review of Randomness.

Part II Discrete Random Variables

7. Discrete Versus Continuous Random Variables.
8. Probability Mass Functions and CDFs
9. Independence and Conditioning.
10. Expected Values of Discrete Random Variables.
11. Expected Values of Sums of Random Variables.
12. Variance of Discrete Random Variables.
13. Review of Discrete Random Variables.

Part III Named Discrete Random Variables

14. Bernoulli Random Variables.
15. Binomial Random Variables.
16. Geometric Random Variables.
17.Negative Binomial Random Variables.
18. Poisson Random Variables.
19. Hypergeometric Random Variables.
20. Discrete Uniform Random Variables.
21. Review of Named Discrete Random Variables.

Part IV Counting

22. Introduction to Counting.
23. Two Case Studies in Counting.

Part V Continuous Random Variables

24. Continuous Random Variables and PDFs.
25. Joint Densities.
26. Independent Continuous Random Variables.
27. Conditional Distributions.
28. Expected Values of Continuous Random Variables.
29. Variance of Continuous Random Variables.
30. Review of Continuous Random Variables

Part VI Named Continuous Random Variables

31. Continuous Uniform Random Variables.
32. Exponential Random Variables.
33. Gamma Random Variables.
34. Beta Random Variables
35. Normal Random Variables.
36. Sums of Independent Normal Random Variables.
37. Central Limit Theorem

Part VII Additional Topics

39. Variance of Sums; Covariance; Correlation.
40. Conditional Expectation.
41. Markov and Chebyshev Inequalities.
42. Order Statistics.
43. Moment Generating Functions.

Product details:

Language: English
ISBN-10: 0716771098
ISBN-13: 978-0716771098
ISBN-13: 9780716771098

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