MAT 204 - Applied Statistics

Theoretical and practical introduction to graphic representations of data, probability theory, normal curve model, point and interval estimation, hypothesis testing, linear correlation, and inferential statistics. Critiques of scientific publications, data collection and analysis procedures, statistical analyses, and employing personal computers.

4 Semester Credit(s)

Crosslisted with: N/A
Laboratory/Experience Hours: N/A
Prerequisite(s): MAT 103 or instructor consent
Corequisite(s): N/A
Repeatable for Credit: No
Core Course: Yes. Core Elective. Fulfills math requirement.
Grade Type: LT