Six Sigma Correlation, Regression, and Hypothesis Testing

Six Sigma Yellow Belt    |    Intermediate
  • 13 Videos | 56m 34s
  • Includes Assessment
  • Earns a Badge
  • Certification CPE
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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

  • Playable
    1. 
    Six Sigma Correlation, Regression, and Hypothesis Testing
    31s
    UP NEXT
  • Playable
    2. 
    Correlation Basics
    3m 20s
  • Locked
    3. 
    Scatter Diagrams and Correlation Analysis
    4m 32s
  • Locked
    4. 
    Correlation Coefficient
    3m 38s
  • Locked
    5. 
    Causation and the Significance of Correlation
    6m 50s
  • Locked
    6. 
    Basics of Regression Analysis
    3m 10s
  • Locked
    7. 
    Predicting Outcomes with Regression Analysis
    7m 15s
  • Locked
    8. 
    Introduction to Hypothesis Testing
    4m 6s
  • Locked
    9. 
    Null and Alternative Hypotheses
    3m 59s
  • Locked
    10. 
    Type I and Type II Errors
    4m 25s
  • Locked
    11. 
    One- versus Two-tailed Hypothesis Tests
    5m 26s
  • Locked
    12. 
    Power of a Test
    4m 13s
  • Locked
    13. 
    The p-value for a Hypothesis Test
    5m 9s

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

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