Probability And Introduction To Statistics

AY2015/2016 Semester 1

Discrete distributions (binomial, hypergeometric and Poisson). Continuous distributions (normal, exponential) and densities. Random variables, expectation, independence, conditional probability. Introduction to the law of large numbers and the central limit theorem. Sampling distributions. Elementary statistical inference (confidence intervals and hypothesis tests).