A data-driven introduction to statistics. Basic descriptive statistics, introduction to probability theory, random variables, various discrete and continuous distributions, contingency tables and goodness-of-fit, sampling distributions, distribution of sample mean, Central Limit Theorem, application to interval estimation and hypothesis testing. A statistical software package will be used. STAT 2507 may not be counted for credit in any program, if taken after successful completion of STAT 2559. Precludes additional credit for BIT 2000, BIT 2100, ECON 2200, ECON 2201, GEOG 2006, STAT 2606, STAT 3502. Prerequisite(s): an Ontario Grade 12 university-preparation Mathematics or equivalent, or permission of the School of Mathematics and Statistics.Lectures three hours a week, laboratory one hour a week.
