MATH 4720

Statistics

Course Description

Course information provided by the 2023-2024 Catalog.

Statistics have proved to be an important research tool in nearly all of the physical, biological, and social sciences. This course serves as an introduction to statistics for students who already have some background in calculus, linear algebra, and probability theory. Topics include parameter estimation, hypothesis testing, and linear regression. The course emphasizes both the mathematical theory of statistics and techniques for data analysis that are useful in solving scientific problems.

Prerequisites/Corequisites Prerequisite: MATH 4710 and linear algebra (MATH 2210, MATH 2230, MATH 2940, or equivalent).

Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: BTRY 4090/STSCI 4090,  ECON 3130, MATH 4720.

Distribution Category (MQR-AS, SDS-AS, SMR-AS)

When Offered Spring.

Comments Recommended prerequisite: MATH 1920, MATH 2220, or equivalent. Students will be expected to be comfortable writing proofs. More experience with proofs may be gained by first taking a 3000-level MATH course.

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