BTRY 4090
Theory of Statistics
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.
Topics
- 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.
Official roster learning outcomes
Prerequisites & course information
BTRY 3080 or MATH 4710 or equivalent and at least one introductory statistics course.
Sources
- Course catalogue ↗2026-2027