This course covers statistical data analysis with an emphasis on hypothesis testing including parametric tests (e.g., t-tests, ANOVA) and non-parametric tests (e.g., Kruskal-Wallis, Friedman, chi-square), correlation and linear regression. Provides an introduction to probability theory and distributions (e.g. binomial, normal). Includes: Experiential Learning Activity Precludes additional credit for BIT 2000, DATA 1517, ECON 2210, ENST 2006, GEOG 2006, STAT 2507, STAT 2606, and STAT 3502. Prerequisite(s): Restricted to students in the BIT degree program. Lectures three hours a week, tutorial/laboratory one hour a week.
This course covers statistical data analysis with an emphasis on hypothesis testing including parametric tests (e.g., t-tests, ANOVA) and non-parametric tests (e.g., Kruskal-Wallis, Friedman, chi-square), correlation and linear regression. Provides an introduction to probability theory and distributions (e.g. binomial, normal). Includes: Experiential Learning Activity Precludes additional credit for BIT 2000, DATA 1517, ECON 2210, ENST 2006, GEOG 2006, STAT 2507, STAT 2606, and STAT 3502. Prerequisite(s): Restricted to students in the BIT degree program. Lectures three hours a week, tutorial/laboratory one hour a week.
