Course Description
Intermediate statistics course covering statistical models, such as linear regression, analysis of variance, categorical data analysis, and logistic regression. Emphasis is on conceptual rather than theoretical understanding. Applications to social/biological sciences. Student assignments/projects require use of the software package R.
Grading Basis
ROP - Letter or Credit/No Credit
Min
3
Max
3
Course Repeatable for Degree Credit?
No
Course Component
Lecture
Enrollment Optional?
No
Enforced Requisites
Antirequisite
Complete ANY of the following Courses:
- 1254211
Students who have previously taken the following course may not enroll in this course.
Prerequisite
Fulfill ANY of the following requirements:
Complete at least 1 of the following
Courses:
- 1237821
- 1253961
- 2254091
- 2010471
Introductory statistics course or STATS 118. See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.
OR
Score of 5 on AP Statistics Exam
This course has been approved for the following WAYS
Applied Quantitative Reasoning (AQR)
Does this course satisfy the University Language Requirement?
No
Schedule
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Courses
STATS191 is a antirequisite for:
STATS191 is a prerequisite for:
STATS191 is a requirement for:
Programs
STATS191 is a completion requirement for:
STATS191 is a prerequisite for: