(eBook PDF) Introduction to Probability by Mark Ward – Digital Ebook – Instant Delivery Download

**Product details:**

- ISBN-10 :
**0716771098** - ISBN-13 :
**978-0716771098** - Author:
**Mark Ward , Ellen Gundlach**

Unlike most probability textbooks, which are often written only for the mathematically-oriented students, Mark Ward and Ellen Gundlach’s Introduction to Probability makes the subject much more accessible, reaching out to a much wider introductory-level audience. Its approachable and 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 in the outside world.

**Table contents:**

1 Outcomes, Events, and Sample Spaces

2 Probability

3 Independent Events

4 Conditional Probability

5 Bayes Theorem

6 Review of Randomness

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

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

22 Introduction to Counting

23 Two Case Studies in Counting24 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

31 Continuous Uniform Random Variables

32 Exponential Random Variables

33 Gamma Random Variables

35 Normal Random Variables

36 Sums of Independent Normal Random Variables

37 Central Limit Theorem

39 Variance of Sums; Covariance; Correlation

40 Conditional Expectation

41 Markov and Chebyshev Inequalities

42 Order Statistics

43 Moment Generating Functions

44 Transformations of One or Two Random Variables

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