BUSA 3500 Business Analytics II

Practical applications of statistical tools and techniques to business problems. Emphasis is placed on research, design and interpretation of results and the implications of those results for business decision-making. Statistical techniques will include the more commonly used research methods, research designs, results interpretation in support of decision making in the era of "big data." Topics will include correlations, simple and multiple regression; special cases of multivariate regression will also be addressed. The study of research methods will also include the commonly used tests used to assess validity, reliability, data set distributions, and other tests commonly used in applied research. SPSS is the primary software used in this course.

Credits

3

Prerequisite

BUSA 2100 or MATH 1300

Typically Offered

Athens Campus: spring evening, summer evening — Demorest Campus: fall day, fall evening, spring day

Student Learning Outcomes

At the successful completion of this course, students will be able to:

1. Demonstrate mastery of calculating descriptive statistics in statistical software.
2. Apply hypothesis testing, ANOVAs, chi-squares, correlations and regressions to common business analytics situations using statistical software.
3. Understand how to diagnose common problems and issues in regressions.
4. Effectively present statistical results.
5. Identify common mistakes and biases that skew statistical results.