This course explains advanced inferential techniques including analysis of variance; simple and multiple linear correlation and regression techniques; Bayesian decision analysis; time-series analysis; non-parametric techniques; use of computer analysis for applied business problems.
Prerequisites: MATH 112 College Algebra II and QM 210 Business Statistics I, Junior standing, business major or minor.
Semesters Offered: Fall 2020, Fall 2021, Fall 2022
Degree Level: Bachelor's
Course Track: Business Preparation Courses (15 Credits)