Axioms of probability; conditional probability and independence; random variables; distributions: binomial, Poisson, hypergeometric, normal, gamma; central limit theorem; sampling distributions; point estimation: maximum likelihood, and method of moments; confidence intervals; testing of hypotheses: one and two populations; engineering applications: acceptance sampling, control charts, reliability. This course may not be used to meet the 3000-level course requirements in any General or Honours program in Mathematics and Statistics. Precludes additional credit for STAT 2507, STAT 2605, STAT 2606, ECON 2200, ECON 2201. Prerequisite(s): MATH 2004 and enrolment in the Faculty of Engineering or B.Sc. programs of the Department of Physics [except Double Honours Mathematics and Physics].Lectures three hours a week and one hour laboratory.
