Ch. 32 PROBABILITY - Revision Facilitator

Sections in the Chapter R D Sharma




32.1 Introduction
32.2 Classical approach to probability
32.3 Axiomatic approach to probability
32.4 Addition theorems on probability
32.5 Conditional probability
32.6 Multiplication theorems on probability
32.7 Independent events
32.8 Some solved examples
32.9 The law of total probability
32.10 Baye’s rule
32.11 Random variable and its probability distribution
32.12 Binomial distribution
32.13 Mean and variance of binomial distribution
32.14 Maximum value of P(X=r) given values of n and p for a binomial variate X.

Study Plan

Study Plan

Day 1

32.1 Introduction
32.2 Classical approach to probability

Day 2

32.3 Axiomatic approach to probability

Day 3
Revision
Illustrative Objective Type Examples 1 to 5

Day 4

32.4 Addition theorems on probability

Day 5
32.5 Conditional probability
32.6 Multiplication theorems on probability

Day 6
32.7 Independent events
32.8 Some solved examples

Day 7

32.9 The law of total probability
32.10 Baye’s rule

Day 8

32.11 Random variable and its probability distribution
32.12 Binomial distribution
32.13 Mean and variance of binomial distribution
32.14 Maximum value of P(X=r) given values of n and p for a binomial variate X.

Day 9
I.O.T.E: 6 to 25

Day 10

I.O.T.E: 26 to 45

Day 11
I.O.T.E: 46 to 63

Day 12
Objective Type Exercise: 1 to 20

Day 13
O.T.E.: 21 to 40

Day 14
O.T.E.: 41 to 60

Day 15
O.T.E.: 61 to 80

Revision Period

Day 16
O.T.E.: 81 to 90


Day 17
O.T.E.: 91 to 100


Day 18
O.T.E.: 101 to 110


Day 19
O.T.E.: 111 to 120


Day 20
O.T.E.: 121 to 130


Day 21
O.T.E.: 131 to 140

Day 22
O.T.E.: 141 to 150

Day 23
O.T.E.: 151 to 160

Day 24
O.T.E.: 161 to 170

Day 25
O.T.E.: 171 to 180

Day 26
O.T.E.: 181 to 190

Day 27
O.T.E.: 191 to 198

Day 28
Fill in the blanks 1 to 10

Day 29
Fill in the blanks 11 to 20

Day 30
Fill in the blanks 21 to 30

Special task
Fill in the blanks 31 to 42
Tre/false type questions 1 to 19

Practice Exercise 1 to 37

The special tasks can be taken up during January to April period














Try to recollect and see how many you remember. I shall create the material related to them and link them over a period of time.



32.1 Introduction
32.2 Classical approach to probability
32.3 Axiomatic approach to probability
32.4 Addition theorems on probability
32.5 Conditional probability
32.6 Multiplication theorems on probability
32.7 Independent events
32.8 Some solved examples
32.9 The law of total probability
32.10 Baye’s rule
32.11 Random variable and its probability distribution
32.12 Binomial distribution
32.13 Mean and variance of binomial distribution
32.14 Maximum value of P(X=r) given values of n and p for a binomial variate X.