R D Sharma Chapter 32. Probability
section Review
1. Introduction
2.classical approach to probability
3. Axiomatic approach to probability
4. Addition theorems on probability
5. Conditional probability
6. Multiplication theorems on probability
7.Independent events
8. Some solved problems based on addition and multiplication theorems of probability
9. the law of total probability
10. Baye’s rule
11. Random variable and its probability distribution
12. Binomial distribution
13. Mean and variance of binomial distribution
14. Maximum value of P9X = r) for given values of n and p for a binomial variate X
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