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Probability DVDs

Probability Theory Videos

Complete Course

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.

2. Purchase a CD to play on your computer

3. Purchase a DVD set to play on your TV or on your computer's DVD player

MAC users require the DVD version only!

You can choose any topic to watch on the video and then you can fast forward, rewind or pause. You can play the CDs on any computer and the DVDs on any DVD player.

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We are continuously expanding our collection

Probability Theory \$50 Pre Alg thru Pre Calc \$105 Contains Pre Alg, Basic Alg, Intermediate/College Alg, Trig, Pre Calc Pre Alg thru Calc 3 \$190 Contains Pre Alg, Basic Alg, Intermediate/College Alg, Trig, Pre Calculus, Calculus I,II & III Purchase below via PayPal

e-mail any questions to mathtutoring1@hotmail.com or telephone Steven @ 845 399 8136

WHEN CHECKING OUT AT PAYPAL YOU NEED TO STATE IN THE COMMENT SECTION WHICH OPTION YOU WANT--THE DEFAULT OPTION IS THE WEBSITE ADDRESS

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 lar
ge numbers 