This course teaches you how to use analysis of variance and regression methods to analyze data with a single continuous response variable. You learn how to perform elementary exploratory data analysis (EDA) and discover natural patterns in data. Important statistical concepts such as confidence intervals are also introduced.
Course Overview
Who Should Attend
Analysts and researchers with some statistical knowledge
Learning Outcomes
Learn how to use JMP software to
• Interpret confidence intervals
• Perform hypothesis tests
• Compare multiple population means with one-way ANOVA
• Use simple linear regression to analyze relationships between continuous variables
• Use the general linear model to build models between a continuous response and any number of continuous or categorical predictors
• Assess interactions between factors and curvature
• Evaluate assumptions of statistical hypothesis testing
Course Outline Course Outline (PDF)
Module 1: Introduction to Statistics
Module 2: Analysis with a Categorical Factor
Module 3: Analysis with a Continuous Factor
Module 4: Model Building
Module 5: Capstone Exercises
Module 6: References
Module 7: Additional Resources
Class Schedule 2026
Click any date to enquire or enrol · Dates subject to changeJan
TBC
Feb
TBC
Mar
TBC
Apr
TBC
May
TBC
Jun
TBC
Jul
TBC
Aug
TBC
Sep
TBC
Oct
TBC
Nov
TBC
Dec
TBC
Course Enquiry / Enrolment
Fill in your details below and we'll get back to you.
