Course description

This course focuses on methods for the design and analysis of single factor experiments with different levels of the factor. Participants will learn the assumptions to perform an analysis of variance and how to interpret the software package output and where the numbers come from this analysis.

Course details

Hours: 6
Credits: 1
Prerequisites: None
Corequisites: None

Build courses into a credential

This course is part of the following micro-credential(s):


Credit transfer

Have you taken this course or an equivalent course? Contact the Credit Transfer Office.

Registration dates

Not all courses are offered each term.

Spring 2026 registration opens March 2, 2026.
Fall 2026 registration opens June 29, 2026.

Delivery options

In person: classes held in person on a campus/site in a classroom/lab/shop/studio for the course duration

Online - Asynchronous: ​100% online delivery, no scheduled day or time course requirements with the instructor, assigned due dates

Online - Synchronous: 100% online delivery, scheduled day and time course requirements with the instructor, assigned due dates

Hybrid: any combination of in person, timetabled, on campus, online, and hyflex delivery