STSCI 4090

Last Updated

  • Schedule of Classes - October 15, 2026 7:07PM EDT

STSCI 4090
Theory of Statistics

Course information provided by the 2026-2027 Catalog.

Introduction to classical theory of parametric statistical inference that builds on the material covered in STSCI 3080. Topics include: sampling distributions, principles of data reduction, likelihood, parameter estimation, hypothesis testing, interval estimation, and basic asymptotic theory.


Prerequisites STSCI 3080 or MATH 4710 or equivalent; STSCI 2150.

Distribution Requirements (DLS-AG, OPHLS-AG), (SDS-AS)

Last 4 Terms Offered 2026FA, 2026SP, 2025FA, 2025SP

Learning Outcomes

  • Describe the general principles of statistical estimation and testing.
  • Design a statistical estimator in a principled way based on a description of a dataset.
  • Analyze the theoretical properties of an estimator and a hypothesis test.
  • Calculate and correctly interpret confidence intervals, p-values, statistical significance, and power.
  • Recognize the general principles underlying common statistical procedures.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: MATH 4720, STSCI 5090

  • 4 Credits Graded

  •  8679 STSCI 4090   LEC 001

  •  
    • MW
    • Jan 25 - May 11, 2027

    • Wegkamp, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  8680 STSCI 4090   DIS 201

  •  
    • F
    • Jan 25 - May 11, 2027

    • Wegkamp, M

  • Instruction Mode: In Person

  •  8681 STSCI 4090   DIS 202

  •  
    • F
    • Jan 25 - May 11, 2027

    • Wegkamp, M

  • Instruction Mode: In Person