BTRY 4090

Last Updated

  • Schedule of Classes - June 11, 2025 2:48PM EDT

BTRY 4090
Theory of Statistics

Course information provided by the 2025-2026 Catalog.

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


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

Last 3 terms offered 2025SP, 2024FA, 2024SP

Learning Outcomes REF-FA25

  • 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: BTRY 5090, STSCI 4090, STSCI 5090

  • 4 Credits Graded

  •  1483 BTRY 4090   LEC 001

  •  
    • TR
    • Aug 25 - Dec 8, 2025

    • 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/

  •  1484 BTRY 4090   DIS 201

  •  
    • F
    • Aug 25 - Dec 8, 2025

    • Diciccio, T

  • Instruction Mode: In Person