This course teaches how to analyze data with a single continuous response variable using analysis of variance and regression methods. 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.
Learn how to
use JMP software to
- compare two means using a t-test
- generate and interpret an analysis of variance to compare more than two means
- analyze relationships between continuous variables using simple and multiple linear regression models
- perform an analysis of covariance to incorporate continuous and categorical predictors
- evaluate assumptions in statistical hypothesis testing.
Who should attend
Analysts and researchers with some statistical knowledge
Formats available | Standard Duration (duration can vary, see event schedule for details) | | |
Classroom: |
2.0 days | | |
Live Web Classroom: |
4 half-day session(s) |
e-Learning: |
14 hours/180 day license |
|
Before attending the course, you should complete the JMP Software: A Case Study Approach to Data Exploration course or have equivalent experience.
This course addresses JMP software.