Elements Of Probability And Statistics
Course Content and Outline
probability theory: discrete and continuous sample space, conditional
probability and independence.
Bayes' theorem and
Random variables and
their distributions, joint distribution and notion of dependence.
Expected values and
variance, moment generating functions.
families of distributions including binomial, geometric, hypergeometric,
negative binomial, exponential, gamma, normal and their applications.
Simple case of central limit theorem and its uses.
Basic introduction to Descriptive statistics and graphical methods.
MODE OF DELIVERY
Lecture and discussion
Reading and problem assignments
- Whiteboard and Markers
- Flip Charts
- LCD Projectors
- CDs, DVDs and Tapes