ECO 233 - Data, Sampling, and Analytics

3 credit hours - Three hours weekly, one term.
Apply topics from Business Statistics to business and professional situations. Perform hypothesis tests with new procedures involving Chi-square tests, multiregression with dummy variables, logistic regression, and time series. Use a software package to develop data management skills such as sorting, subsetting, and cleaning data. Propose and plan analysis projects. Apply results to improve decision making in business contexts. Lab fee $35.

Prerequisite(s): ECO 232 or BPA 232 or MAT 135 and eligibility for MAT 137 or higher.

Location(s) Typically Offered: Online (OL)

Term(s) Typically Offered: Fall and spring

Course Outcomes:
Upon successful completion of this course, the student will be able to:

Propose an analytical project to address a desired improvement in a business situation.
Identify which data characteristics are needed to perform a given hypothesis test.
Propose sampling strategies to avoid potential sources of bias.
Conduct basic hypothesis tests and interpret output from a common statistical software package.
Interpret results of tests for multicollinearity, heteroskedasticity, autocorrelation.
Apply results of hypothesis tests for means, proportions, and correlation to improve decision making in business and other situations.