Presentation and interpretation of data, elementary probability concepts, random variables and probability distributions, binomial, hypergeometric, Poisson, exponential, Weibull, normal and lognormal random variables. Estimation, hypothesis testing for mean, variance and proportion. Simple and multiple linear regression, application to real-life problems. The lab session will be devoted to problem solving using statistics software. (It cannot to be taken for credit with STAT 214 or STAT 319 or ISE 205).

Pre-requisites: MATH102