Statistical Inference using Probability Distributions | Continuing Education

Course description

This course provides a practical foundation in inferential statistics to enhance process understanding and data-driven decision-making. Participants will learn to interpret probability distributions, calculate probabilities for key distributions, and create probability plots to validate analytical assumptions. By the end of the course, learners will also understand the Central Limit Theorem and its crucial role in statistical inference for real-world applications.

Course details

Hours: 8

Credits: 1

Prerequisites: None

Corequisites: None

Build courses into a credential

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

Statistical Process Control (SPC)

Credit transfer

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

This course is not currently open for registration. There may be an equivalent course listed above.

Registration dates

Not all courses are offered each term.

Spring 2025 registration is now open.
Fall 2025 registration opens July 21, 2025.

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