Basic probability concepts, conditional probability, Bayes’ theorem

Random variable, probability density function, cumulative distribution function

Specific random variable discrete as well as continuous

Moments and moment generating function

Law of large numbers

Basic statistical concepts, samples and sampling distributions

Parameter estimation, hypothesis testing and curve fitting