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I dare you to watch the Probability Theory Help video below

This Probability Video covers 35 topics in over 24 hours. This Probability course is covered by working out numerous examples in easy to follow, logical steps. The topics covered include principle of counting, expected values, Chebyshev's inequality, Bayes' formula, and more. Each topic is covered thoroughly to give a student the understanding to work out problems on their own. The video is a great resource in any advanced probability course and will insure student’s success.

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__Topics in
Probability Theory DVDs__

1 Principle of
Counting

2 Permutations

3 Combinations

4 More Combination and Permutation problems

5 Sample Space and Events

6 Axioms of Probability

7 Simple Propositions

8 Sample spaces with equally likely outcomes

9 Probability as a Continuous Set Function

10 Conditional Probability

11 Bayes' Formula

12 Independent Events

13 Random Variables

14 Distribution Function

15 Expected Values

16 Expectation of a function of a Random Variable

17 Variance

18 Binomial Random Variables

19 Properties of Binomials Random Variables

20 Poisson Random Variable

21 Geometric Random Variables

22 Hypergeometric Random Variables

23 Negative Binomial Random Variables

24 lntro To Continuous Random Variables

25 Expectation of a Continuous Random Variables

26 Uniform Random Variables

27 Normal Random Variables

28 Jointly Distributed Random Variables

29 Independent Random Variables

30 Sum of Independent RV

31 Conditional Distribution-Discrete Case

32 Conditional Distribution-Continuous Case

33 Expectation of Sums of Random Variables

34 Covariance, Variance of Sums

35 Chebyshev's Inequality and the weak law of large numbers

2 Permutations

3 Combinations

4 More Combination and Permutation problems

5 Sample Space and Events

6 Axioms of Probability

7 Simple Propositions

8 Sample spaces with equally likely outcomes

9 Probability as a Continuous Set Function

10 Conditional Probability

11 Bayes' Formula

12 Independent Events

13 Random Variables

14 Distribution Function

15 Expected Values

16 Expectation of a function of a Random Variable

17 Variance

18 Binomial Random Variables

19 Properties of Binomials Random Variables

20 Poisson Random Variable

21 Geometric Random Variables

22 Hypergeometric Random Variables

23 Negative Binomial Random Variables

24 lntro To Continuous Random Variables

25 Expectation of a Continuous Random Variables

26 Uniform Random Variables

27 Normal Random Variables

28 Jointly Distributed Random Variables

29 Independent Random Variables

30 Sum of Independent RV

31 Conditional Distribution-Discrete Case

32 Conditional Distribution-Continuous Case

33 Expectation of Sums of Random Variables

34 Covariance, Variance of Sums

35 Chebyshev's Inequality and the weak law of large numbers

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