# Six Sigma Correlation, Regression, and Hypothesis Testing

Six Sigma Yellow Belt    |    Intermediate
• 13 videos | 56m 34s
• Includes Assessment
• CPE
Rating 4.4 of 337 users (337)
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

• During this video, you will learn how to identify the purpose of correlation analysis in Six Sigma.
• 3.  Scatter Diagrams and Correlation Analysis
In this video, find out how to create Scatter Diagrams and perform Correlation Analysis.
• 4.  Correlation Coefficient
Learn how to identify factors to consider when interpreting a correlation coefficient.
• 5.  Causation and the Significance of Correlation
In this video, you will learn how to recognize the importance of finding the statistical significance of correlation.
• 6.  Basics of Regression Analysis
During this video, you will discover how to recognize how linear regression is used during data analysis.
• 7.  Predicting Outcomes with Regression Analysis
Discover how to calculate an outcome using the regression analysis formula.
• 8.  Introduction to Hypothesis Testing
In this video, you will learn how to identify the purpose of hypothesis testing for means.
• 9.  Null and Alternative Hypotheses
During this video, you will learn how to distinguish between different types of hypotheses.
• 10.  Type I and Type II Errors
In this video, you will learn how to identify Type I and Type II errors.
• 11.  One- versus Two-tailed Hypothesis Tests
Learn how to distinguish between one-tailed and two-tailed hypothesis tests.
• 12.  Power of a Test
In this video, you will learn how to identify factors that affect the power of a hypothesis test.
• 13.  The p-value for a Hypothesis Test
During this video, you will learn how to determine whether to reject a null hypothesis based on given p-values.

## EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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