Roadmaps for Comparing Groups t-Test and One-Way ANOVA

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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.
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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 the our other online programs

Online 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.

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Contact us if you have additional questions.