Topic

No. of hours

Lecture

Tutorial

Sample space, probability axioms: - I

4

2

2

Sample space, probability axioms: -II

4

2

2

Sample space, probability axioms: -III

4

2

2

Conditional and independence probabilities.

4

2

2

Dependent probabilities, Bayes' theorem.

4

2

2

Random variables; distribution functions, moments and generating function:- I  

4

2

2

Random variables; distribution functions, moments and generating function:- II  

4

2

2

Some continuous, discrete distribution functions:-I

4

2

2

Some  continuous, discrete distribution functions:  –II

4

2

2

Joint distribution,  Chebychev inequality:  -I

4

2

2

Joint distribution,  Chebychev inequality: - II 

4

2

2

Law of large numbers:-I

4

2

2

Law of large numbers:-II

4

2

2

The central limit theorem and sampling distributions

4

2

2