STAT 520

, This course offers an introduction to probability Theory and applications: Central Limit Theorem, Sampling, time series
empirical distribution.
 

Coverage of Planned Program
Topics Covered	Planned Contact Hours	Actual Contact Hours	Reason for Variations if there is a difference of more than 25% of the hours planned
Probability space, Sequence of Events, Random variables, Distribution functions, Expectations.	8	8	None
Marginal  and conditional probability functions - Conditional expectation and variation.	8	8	None
Functions of r.v.’s, Multivariate distributions.	8	8	None
Characteristics functions, Central limit theorem and proof.	4	4	None
Sampling distribution of order statistics.	8	8	None
Empirical distribution functions	4	4	None
Useful convergence results	6	6	None