Roadmaps for Comparing Groups t-Test and One-Way ANOVA
The t-test is used to compare the means of two population groups, while the ANOVA technique compares the means of three or more population groups. T-tests focus on within-group variation, while ANOVA analyzes between-group and within-group variation.
These two distinct yet valuable tests are crucial in the Six Sigma methodology. This course will teach you about them.
What You Will Learn
- Introducing the Statistical Analysis Roadmap to be used when comparing groups of data.
- Stability and Normality tests.
- Adding hypotheses and P-values to Normality testing.
- Introducing the Test for Equal Variances.
- How these tests fit into the DMAIC roadmap.
- How to use the t-test to compare the means of two groups.
- Using the One-Way ANOVA method to compare the means of more than two groups.
What You Will Receive
- Access to the online Roadmaps for Comparing Groups t-Test and One-Way ANOVA training for 30-day in our online Learning Management System
- Access to the online Roadmaps for Comparing Groups t-Test and One-Way ANOVA manual, delivered using LockLizard for secure access
- Certificate of completion upon successfully passing the final exam
- Please note there are no refunds once the program has been started or 7 Days after purchase.
