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’ll 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.
Roadmaps for Comparing Groups t-Test and One-Way ANOVA Online Training Program Includes
- 30-day access to our Learning Management System
- Modern player with transcription of the narration, adjustable playback speed, full-screen and more
- Access to the training manual in electronic format
- A quiz test
- Roadmaps for Comparing Groups t-Test and One-Way ANOVA Certification upon completion
- Ability to upgrade at a later date to our other online programs
Roadmaps for Comparing Groups t-Test and One-Way ANOVA Program Requirements
- A computer, tablet or smartphone with internet connection
Pricing: $29.00
Once we process your payment we will provide you with your personal online training account.
Note: There are no refunds once the program has been started or 7 days after purchase.
Contact us if you have additional questions.
