Lesson 30 of 36 • 0 upvotes • 9:40mins
Problems based on Discrete Probability Distribution (Poisson distribution).
36 lessons • 5h 51m
Introduction to the course (in Hindi)
5:22mins
Prerequisites of the course ( in Hindi)
11:50mins
Elementary Permutation and Combination( in Hindi)
11:38mins
Practice Part 1 (in Hindi)
9:39mins
Basic terms and definitions (in Hindi)
8:43mins
Basic terms and definitions part 2 (in Hindi)
9:02mins
Probability definition and Axioms (in Hindi)
9:18mins
Addition Law of Probability and it's Proof (in Hindi)
11:07mins
Practice Part 2 (in Hindi)
10:24mins
Practice Part 3 (in Hindi)
10:43mins
Practice Part 4 (in Hindi)
8:06mins
Conditional Probability and multiplication law(in Hindi)
8:27mins
Multiplication law for independent events (in Hindi)
9:49mins
Practice part 5 (in Hindi)
12:43mins
Practice part 6 (in Hindi)
12:07mins
Bayes theorem (in Hindi)
8:05mins
Practice part 7 (in Hindi)
13:05mins
Statistics: Introduction (in Hindi)
10:25mins
Random variables : Classification (in Hindi)
9:37mins
Mathematical Expectation ( in Hindi )
10:58mins
Variance and Co-Variance( in Hindi )
13:47mins
Practice Part 8 (in Hindi)
9:50mins
Practice Part 9 (in Hindi)
8:01mins
Cumulative Distribution Function(in Hindi)
9:57mins
Practice Part 10 (in Hindi)
10:48mins
Practice Part 11 (in Hindi)
9:11mins
Practice Part 12 (in Hindi)
9:03mins
Discrete Probability Distribution (in Hindi)
9:22mins
Practice Part 13 (in Hindi)
13:16mins
Practice Part 14 (in Hindi)
9:40mins
Uniform Probability Distribution (in Hindi)
7:26mins
Exponential Distribution (in Hindi)
9:51mins
Normal Distribution (in Hindi)
7:05mins
Practice Part 15 (in Hindi)
8:09mins
Gamma Function (in Hindi)
6:01mins
Practice Part 16 (in Hindi)
8:22mins