STAT 2009Y(3) – PROBABILITY AND STATISTICAL INFERENCE
Probability Theory, Random Variables, Expectation. Discrete and Continuous Distributions, Joint and
Conditional.
Distributions, Distributions of Functions of Random Variables. Distributions. Limit Theorems. Personal
(or subjective) approach to probability. Probability measurements. Bayes' Theorem revisited. Prior and
posterior probabilities. Sampling distributions. Introduction to estimation and inference: Estimators and
their properties. Confidence interval. Hypothesis testing.
