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STATS200

Introduction to Statistical Inference

Statistics H&S - Humanities & Sciences

Course Description

Modern statistical concepts and procedures derived from a mathematical framework. Statistical inference, decision theory; point and interval estimation, tests of hypotheses; Neyman-Pearson theory. Bayesian analysis; maximum likelihood, large sample theory. Prerequisite: STATS 116. Please note that students must enroll in one section in addition to the main lecture.

Grading Basis

ROP - Letter or Credit/No Credit

Min

4

Max

4

Course Repeatable for Degree Credit?

No

Course Component

Discussion

Enrollment Optional?

No

Course Component

Lecture

Enrollment Optional?

No

Does this course satisfy the University Language Requirement?

No

Programs

STATS200 is a completion requirement for:
  • (from the following course set: )