STSCI 4090

Last Updated

  • Schedule of Classes - April 13, 2026 10:10AM 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 and at least one introductory statistics course.

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

Last 4 Terms Offered 2026SP, 2025FA, 2025SP, 2024FA

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

  • 14815 STSCI 4090   LEC 001

  •  
    • TR
    • Aug 24 - Dec 7, 2026

    • Diciccio, T

  • Instruction Mode: In Person

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

  • 14816 STSCI 4090   DIS 201

  •  
    • F
    • Aug 24 - Dec 7, 2026

    • Diciccio, T

  • Instruction Mode: In Person