# Six Sigma Correlation, Regression, and Hypothesis Testing

Six Sigma Yellow Belt    |    Intermediate
• 13 Videos | 56m 34s
• Includes Assessment
• Earns a Badge
• CPE
Likes 193
If you're planning to carry out a Lean process improvement within your organization, you'll need a strong understanding of some key Six Sigma statistical analysis tools. These analysis tools are vital for enhancing process design, as well as for creating an effective process control system. In this course, you'll learn about correlation analysis, a business process improvement technique that can help you identify relationships between variables. You'll explore regression analysis, which enables you to predict outcomes. Finally, you'll learn about the Lean Six Sigma tool of hypothesis testing, which is used to test for significant improvements in a process. This course is aligned to the ASQ Body of Knowledge, and is designed to assist Yellow Belt candidates toward achieving their certification.

## WHAT YOU WILL LEARN

• There is no objective for the Course Overview identify the purpose of correlation analysis in Six Sigma Scatter Diagrams and Correlation Analysis identify considerations when interpreting a correlation coefficient recognize the importance of finding the statistical significance of correlation recognize how linear regression is used during data analysis calculate an outcome using the regression analysis formula
• identify the purpose of hypothesis testing for means distinguish between types of hypotheses recognize the attributes of Type I and Type II errors distinguish between one-tailed and two-tailed hypothesis tests identify factors that affect the power of a hypothesis test determine whether to reject a null hypothesis based on given p-values

## IN THIS COURSE

• 1.
Six Sigma Correlation, Regression, and Hypothesis Testing
• 2.
Correlation Basics
• 3.
Scatter Diagrams and Correlation Analysis
• 4.
Correlation Coefficient
• 5.
Causation and the Significance of Correlation
• 6.
Basics of Regression Analysis
• 7.
Predicting Outcomes with Regression Analysis
• 8.
Introduction to Hypothesis Testing
• 9.
Null and Alternative Hypotheses
• 10.
Type I and Type II Errors
• 11.
One- versus Two-tailed Hypothesis Tests
• 12.
Power of a Test
• 13.
The p-value for a Hypothesis Test

## EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform

Digital badges are yours to keep, forever.