Statistical Methods II
General
Prefix
STAT
Course Number
321
Course Level
Undergraduate
Department/Unit(s)
College/School
College of Science and Engineering
Description
Statistical methods for analyzing data beyond Statistical Methods I. Modeling data using simple and multiple regression, and one- and two-way analysis of variance. Transformations, model selection, multiple comparisons, randomized block design, and interactions.
Prerequisites
Credits
Min
3
Max
3
Goals and Diversity
Learning Outcomes
Outcome
Compute correlation coefficients and regression coefficients for simple linear regression models.
Outcome
Test hypotheses for parameters in simple and multiple regression models.
Outcome
Construct confidence intervals and prediction intervals for regression models.
Outcome
Use dummy variables in modeling categorical effects in regression models.
Outcome
Analyze data using regression models, with statistical software.
Dependencies
Courses
STAT321
is a
prerequisite
for:
Programs
STAT321
is a
completion requirement
for: