About this Course
Welcome to the course notes for STAT 502: Analysis of Variance and Design of Experiments. These notes are designed and developed by Penn State's Department of Statistics and offered as open educational resources. These notes are free to use under Creative Commons license CC BY-NC 4.0. This course is part of the online Master of Applied Statistics.
If you are a current student in this course, please see Canvas for your syllabus, assignments, lesson videos, and communication from your instructor.
How to enroll?
If you would like to enroll and experience the entire course for credit please see 'How to enroll in a course' on the World Campus website.
Course Overview Section
This is a graduate-level course that provides a thorough introduction to statistical methods used to analyze data resulting from a wide range of experimental designs. The concepts of comparative experiments, randomization, replication, repeated measures, blocking, and factorial designs will be discussed. The main goal of the course will be to develop problem-solving skills for identifying a variety of designs and making inferences on associated parameters. Examples from agricultural sciences, health, and social sciences, business, etc. will be used throughout the course.
Please visit your Canvas class for a detailed syllabus on course goals, course schedule, and supplementary material.