STAT151A
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STAT 151A - Linear Modelling: Theory and Applications
Course Title
Linear Modelling: Theory and Applications
Course Description
A coordinated treatment of linear and generalized linear models and their application. Linear regression, analysis of variance and covariance, random effects, design and analysis of experiments, quality improvement, log-linear models for discrete multivariate data, model selection, robustness, graphical techniques, productive use of computers, in-depth case studies. This course uses either R or Python as its primary computing language, as determined by the instructor.
Minimum Units
4
Maximum Units
4
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
Prerequisites
STAT 135. STAT 133 recommended.
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course if following the course(s) have already been completed.
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Formats
Laboratory, Lecture
Term
Fall and Spring
Weeks
15 weeks
Weeks
15
Lecture Hours
3
Lecture Hours Min
3
Lecture Hours Max
3
Laboratory Hours
2
Laboratory Hours Min
2
Laboratory Hours Max
2
Outside Work Hours
7
Outside Work Hours Min
7
Outside Work Hours Max
7