STSCI 5090

STSCI 5090

Course information provided by the Courses of Study 2021-2022.

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.

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: BTRY 4090BTRY 5090STSCI 4090

  • 4 Credits Graded

  • 19011 STSCI 5090   LEC 001

    • TR Caldwell Hall 100
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: In Person

  • 19012 STSCI 5090   DIS 201

    • F Warren Hall 101
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: In Person

  • 19013 STSCI 5090   DIS 202

    • F Warren Hall 101
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: In Person