- Schedule of Classes - January 23, 2022 7:28PM EST
- Course Catalog - January 23, 2022 7:15PM EST
Course information provided by the Courses of Study 2021-2022.
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.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: MATH 4710 and knowledge of linear algebra (e.g., MATH 2210). Recommended: some knowledge of multivariable calculus. Students will be expected to be comfortable with proofs.
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)
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- TR Malott Hall 207
- Jan 24 - May 10, 2022
Instruction Mode: In Person
Or send this URL: