STAT 51700 - Statistical Inference

A basic course in statistical theory covering standard statistical methods and their application. Estimation including unbiased, maximum likelihood and moment estimation; testing hypotheses for standard distributions and contingency tables; confidence intervals and regions; introduction to nonparametric tests and linear regression.

Preparation for Course
P: STAT 51600 with a Grade of C or Better.

Cr. 3.
Notes
Note: Prerequisites in mathematics and statistics are intended as a guide and may be satisfied through completion of equivalent or more advanced courses. Consent of the course instructor can substitute for completion of specified prerequisites, and students are invited to discuss their eligibility for enrollment with their advisors or the instructor of the course.

Student Learning Outcomes

1. Understand the basic asymptotic theory including consistency and convergence in distribution.
2. Know how to perform some elementary statistical inference such as estimation, confidence interval and hypothesis testing.
3. Be familiar with the maximum likelihood method to make statistical inference.
4. Know how to judge the quality of different estimators.
5. Know how to perform optimal tests of hypotheses.