05:27
31- Uniform Distribution
14:11
30-Functions of Continuous Random Variables-2
11:32
29-Functions of Continuous Random Variables
17:08
10-Boy or Girl Paradox
07:46
28-Variance for Continuous Random Variables
10:10
27-Expected Values for Continuous Random Variables
17:34
26-Probability Density Function (PDF) for Continuous Random Variables
09:33
25 Continuous Random Variables
17:45
24- Variance and Standard Deviation
12:29
23-Functions of Discrete Random Variables
11:25
22-Linearity of Expectation
10:13
21-Expectation of Discrete Random Variables
12:32
20-CDF for Discrete Random Variables
22:46
19- Poisson, Pascal, and Hypergeometric Distributions
17:58
18-Geometric and Binomial Random Variables
19:23
17- Discrete Random Variables, PMF, Independent Random Variables
14:17
16-Introduction to Random Variables: Discrete Random Variables-1
09:35
15-Gambler's Ruin Problem
13:55
14-Counting-4: Unordered Sampling with Replacement
09:42
11-Counting-1
17:16
13-Counting-3: K-Combinations and the Binomial Formula
12:31
12-Counting-2: Ordered Sampling without Replacement
09:22
9-Bayes' Theorem
09:47
8-Law of Total Probability
16:43
4-Discrete and Continuous Probability Models
15:41
7-Independent Events-2
12:19
6- Independent Events-1
17:28
5 -Conditional Probability
13:28
3- Probability Axioms
19:05
2-Sets, functions
09:33
1-Introduction to Probability
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About
Lectures on probability: Topics such as counting, conditional probability, Bayes’ rule, and random variables are discussed. The lectures are mostly based on the open access textbook available for free at probabilitycourse.com
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