STAT 330
Statistical Modeling 2
Statistics
College of Physical and Mathematical Sciences
Course Description
Regression, transformations, residuals, indicator variables, variable selection, logistic regression, time series, observational studies, statistical software.
When Taught
Fall and Winter
Grade Rule
Grade Rule 8: A, B, C, D, E, I (Standard grade rule)
Min
3
Fixed
3
Fixed
3
Fixed
0
Recommended
STAT 250 and MATH 113 are strongly recommended as a prerequisites or concurrent enrollment.
Title
Transformations
Learning Outcome
<p>Apply appropriate transformations to variables to improve agreement with regression assumptions</p>
Title
Residual Diagnostics
Learning Outcome
<p>Use residuals and influence diagnostics to assess model fit, evaluate agreement with regression assumptions, and identify outliers and influential observations</p>
Title
Software Proficiency
Learning Outcome
<p>Implement the basic steps of statistical modeling from this course in both R and Python</p>
