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 118 or equivalent. See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.
Grading Basis
ROP - Letter or Credit/No Credit
Min
3
Max
4
Course Repeatable for Degree Credit?
No
Course Component
Discussion
Enrollment Optional?
No
Course Component
Lecture
Enrollment Optional?
No
Enforced Requisites
Antirequisite
Student who have previously taken the following courses may not enroll in this course.
- 1254761
Does this course satisfy the University Language Requirement?
No
Schedule
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Courses
STATS200 is a antirequisite for:
STATS200 is a prerequisite for:
STATS200 is a requirement for:
Programs
STATS200 is a completion requirement for:
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STATS200 is a prerequisite for: