QM 310 Business Statistics II

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

Credits: 3

Degree Level: Bachelor's

Course Track: Business Preparation Courses (15 Credits)