STA 4322

Description and Goals

This is a calculus-based course which gives a theoretical foundation for fundamental methods in statistical inference. It covers the theory underlying point estimation, confidence intervals, and hypothesis testing for models based on standard parametric families. The course is designed to prepare students for graduate-level work in statistics and related fields, or for research in the sciences, social sciences or medical sciences of the type where advanced statistical methods are used. This is fundamentally a theory course, not a course in applied statistics.

Final Grades

Exam 1: Wednesday October 2, 8:20 pm, room TBA; covers everything up to and including lecture of Monday September 30. Note the evening time slot. 25%
Exam 2: Wednesday November 6, 8:20 pm, room TBA; covers everything up to and including lecture of Monday November 4 (with emphasis on material covered after Exam 1). Note the evening time slot. 25%
Final: Thursday December 12, 10:00am–12:00pm. Comprehensive, but with emphasis on material covered after Exam 2. 34%
Homework: There will be 9 or 10 homeworks assigned during the semester. 16%

Grading Scale

100-93  A
92-90    A-
89-87    B+
86-83    B
82-80    B-

Attendance and Late Policy

Homework must be turned in at the beginning of the lecture on the due date. Late homework will not be accepted. All work must be entirely your own.

View the full course syllabus here (PDF).