Quantitative Methods

Graduate

This course provides the knowledge and skills needed to understand and analyze qualitative and quantitative business data using quantitative methods. Emphasis is placed on developing a robust understanding of data types, probability theory, sample distributions, data sampling, descriptive statistics, and basic analysis of data using statistical techniques such as t-tests, ANOVA, correlational 118 Winter 2027 Academic Calendar analysis, and basic linear regression. The course also explores the construction and testing of hypotheses in business contexts. Students develop their capacity to assess the validity and reliability of quantitative analysis and to effectively communicate the results of quantitative analysis in written and visual form. Some consideration is given to the ethical implications of reliance on quantitative analysis in business contexts. Use of common software tools for statistical analysis such as Excel, SPSS, Stata, and SAS is introduced.