An introduction to the theory of statistics with strong links to data as well as its probabilistic underpinnings. Topics covered include estimation and hypothesis testing, sampling distributions, linear regression, experimental design, law of large numbers and central limit theorem. Antirequisite(s): All other courses or half courses in Introductory Statistics, except Statistical Sciences 1023A/B and 1024A/B. Prerequisite(s): A minimum mark of 60% in Statistical Sciences 2857A/B (or the former Statistical Sciences 2657A/B). Corequisite(s): Pre-or Corequisite(s): Extra Information: 3 lecture hours, 1 tutorial hour, 0.5 course. back to top
