Six Sigma Correlation, Regression, and Hypothesis Testing

Six Sigma Yellow Belt    |    Intermediate
  • 13 videos | 56m 34s
  • Includes Assessment
  • Earns a Badge
  • Certification CPE
Rating 4.4 of 337 users 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

  • 31s
  • 3m 20s
    During this video, you will learn how to identify the purpose of correlation analysis in Six Sigma. FREE ACCESS
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    3.  Scatter Diagrams and Correlation Analysis
    4m 32s
    In this video, find out how to create Scatter Diagrams and perform Correlation Analysis. FREE ACCESS
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    4.  Correlation Coefficient
    3m 38s
    Learn how to identify factors to consider when interpreting a correlation coefficient. FREE ACCESS
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    5.  Causation and the Significance of Correlation
    6m 50s
    In this video, you will learn how to recognize the importance of finding the statistical significance of correlation. FREE ACCESS
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    6.  Basics of Regression Analysis
    3m 10s
    During this video, you will discover how to recognize how linear regression is used during data analysis. FREE ACCESS
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    7.  Predicting Outcomes with Regression Analysis
    7m 15s
    Discover how to calculate an outcome using the regression analysis formula. FREE ACCESS
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    8.  Introduction to Hypothesis Testing
    4m 6s
    In this video, you will learn how to identify the purpose of hypothesis testing for means. FREE ACCESS
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    9.  Null and Alternative Hypotheses
    3m 59s
    During this video, you will learn how to distinguish between different types of hypotheses. FREE ACCESS
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    10.  Type I and Type II Errors
    4m 25s
    In this video, you will learn how to identify Type I and Type II errors. FREE ACCESS
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    11.  One- versus Two-tailed Hypothesis Tests
    5m 26s
    Learn how to distinguish between one-tailed and two-tailed hypothesis tests. FREE ACCESS
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    12.  Power of a Test
    4m 13s
    In this video, you will learn how to identify factors that affect the power of a hypothesis test. FREE ACCESS
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    13.  The p-value for a Hypothesis Test
    5m 9s
    During this video, you will learn how to determine whether to reject a null hypothesis based on given p-values. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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