MATH 376
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Mathematical Statistics
Department(s)
Course Description
This course introduces the theory of linear regression and uses it as a vehicle to investigate the mathematics behind applied statistics. The theory combines probability theory and linear algebra to arrive at commonly used results in statistics. The theory helps students understand the assumptions on which these results are based and decide what to do when these assumptions are not met, as is usually the case in applied statistics.
Course Typically Offered
Offered every other year.
Career
Undergraduate
Prerequsites
000153
Catalog Course Attributes
CO24 - SCIMATH (Nat Sci and Math), INTD - DATA (Data Analytics DATA), INTD - MATH (Mathematics MATH)
Min Units
1
Max Units
1
Name
Lecture
Optional Component
No
Final Exam Type
Yes