MATH 4720 - Statistics

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

Spring. 4 credits. Student option grading.

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.
Prerequisite: MATH 4710 and knowledge of linear algebra (e.g., MATH 2210). Recommended prerequisite: some knowledge of multivariable calculus. Students will be expected to be comfortable with proofs.

Staff.

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.