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Dec 04, 2024
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BTRY 4090 - Theory of Statistics (crosslisted) STSCI 4090 (OPHLS-AG) Fall, Spring. 4 credits. Letter grades only.
Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: BTRY 4090, MATH 4720 , STSCI 4090 .
Prerequisite: BTRY 3080 or or equivalent and at least one introductory statistics course. Co-meets with BTRY 5090 /STSCI 5090 .
Staff.
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.
Outcome 1: Describe the general principles of statistical estimation and testing.
Outcome 2: Design a statistical estimator in a principled way based on a description of a dataset.
Outcome 3: Analyze the theoretical properties of an estimator and a hypothesis test.
Outcome 4: Calculate and correctly interpret confidence intervals, p-values, statistical significance, and power.
Outcome 5: Recognize the general principles underlying common statistical procedures.
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