STATS 256

Causality

Description: Lecture, three hours. Preparation: proficiency in basic R coding, probability theory, linear algebra, multivariate calculus, and statistics through inference and regression. Tools to pursue both theoretical and applied research in causality. S/U or letter grading.

Units: 4.0
1 of 1

Chad Hazlett

Overall Rating N/A
Easiness N/A/ 5
Clarity N/A/ 5
Workload N/A/ 5
Helpfulness N/A/ 5
Most Helpful Review
No reviews have been written yet.
1 of 1