STAT 290 - Statistics

This course introduces descriptive and inferential statistics of both univariate and bivariate data, with practical application to real-world data, including appropriate data collection techniques. The course examines discrete and continuous probability models including binomial, hypergeometric, geometric, negative binomial, uniform, normal, and exponential. Particular attention is paid to assumptions embedded in statistical models and appropriate use of technology.

Credit(s): 3
Prerequisite(s): MATH 263 - Analytic Geometry and Calculus II.
Disciplinary Perspective(s):
Statistics
Interconnecting Perspective(s):
None
University Graduation Requirement(s):
Honors Scholar