Course description

This course explores estimation and hypothesis testing as essential tools for process understanding and data-driven decision-making. Participants will learn to select appropriate probability distributions, calculate statistical estimates, and conduct hypothesis tests using Minitab. By interpreting p-values and drawing meaningful conclusions, learners will gain the skills to support informed decision-making in real-world applications.

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 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

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