|
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
|
