Statistical Sciences 3850F/G – Data Analysis

A course in applied statistical computing using popular statistical software such as R or SAS. The primary objective of this course is to strengthen students’ applied statistics skills and statistical problem solving abilities. At the end of the course they should be able to identify suitable statistical methodologies for different situations and critically evaluate the appropriateness of model assumptions. Antirequisite(s): The former Statistical Sciences 3814A/B. Prerequisite(s): A minimum mark of 60% in Statistical Sciences 2858A/B. Corequisite(s): Pre-or Corequisite(s): Extra Information: 2 lecture hours, 1 laboratory hours, 0.5 course. back to top





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