MATH 4720

MATH 4720

Course information provided by the 2025-2026 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 MATH 4710 and linear algebra (MATH 2210, MATH 2230, MATH 2310, MATH 2940, or equivalent).

Distribution Requirements (MQL-AG, OPHLS-AG), (SDS-AS, SMR-AS)

Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  •  2399 MATH 4720   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

  •  6566 MATH 4720   DIS 201

    • W
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person