Probability –I with Examples Using R 

offered by Indian Statistical Institute, Delhi

Sample Space, Events and Probability

Conditional Probability and Independence

Independence and Bernoulli Trials

Poisson Approximation

Sampling without Replacement

Discrete Random Variables

Discrete Random Variables

Distribution, Probability Mass function

Discrete Random Variables

Expectation and Variance

Markov and Chebyschev Inequalties

Conditional Expectation,

Uncountable Sample Spaces

Probability Densities

Exponential Random and Normal Random Variable

Joint Density

Independence

Functions of Random Variables

Sums of Independent Random variables

Distributions of Quotients of Independent Random variables