Six Sigma Black Belt: Assessing and Modeling Variable Interactions

Six Sigma Black Belt    |    Intermediate
  • 12 videos | 2h 28m 6s
  • Includes Assessment
  • Earns a Badge
  • Certification CPE
In the Analyze phase of the DMAIC methodology, Six Sigma teams begin to analyze the root causes of the problems that they identified in the earlier stages. This analysis requires working with huge volumes of data of different types. This course covers key characteristics, considerations, and the method for calculating correlation coefficients. It also covers how to perform linear regression analysis. Finally, this course covers multivariate tools including factor analysis, discriminate analysis, and MANOVA. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Recognize key characteristics of correlation analysis
    List the key assumptions for calculating the correlation coefficient
    Calculate and interpret the correlation coefficient and confidence interval
    Recognize key considerations related to correlation analysis
    Calculate and interpret the equation for the line of least squares in a given scenario
  • Use the p-value method to validate a hypothesis test for a given regression equation
    Interpret graphs used to perform a residual analysis
    Recognize key considerations and steps in factor analysis
    Describe key functions and characteristics of discriminant analysis
    Identify key considerations for manova
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 5s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 10m 48s
    After completing this video, you will be able to recognize key characteristics of correlation analysis. FREE ACCESS
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    3.  Correlation Coefficient Assumptions
    8m 29s
    Upon completion of this video, you will be able to list the key assumptions for calculating the correlation coefficient . FREE ACCESS
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    4.  Calculating Correlation Coefficient and Confidence Interval
    16m 11s
    In this video, we will calculate and interpret the correlation coefficient and confidence interval. FREE ACCESS
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    5.  Correlation Analysis Considerations
    17m 30s
    In this video, find out how to recognize key considerations related to correlation analysis. FREE ACCESS
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    6.  Simple Linear Regression and Line of Least Squares
    21m 46s
    During this video, discover how to calculate and interpret the equation for the line of least squares in a given scenario. FREE ACCESS
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    7.  Hypothesis Test for Regression Statistics
    18m 19s
    In this video, you will learn how to use the p-value method to validate a hypothesis test for a given regression equation. FREE ACCESS
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    8.  Residual Analysis Process
    10m 47s
    In this video, learn how to interpret graphs used to perform a residual analysis. FREE ACCESS
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    9.  Factor Analysis
    24m 31s
    Upon completion of this video, you will be able to recognize key considerations and steps in factor analysis. FREE ACCESS
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    10.  Discriminant Analysis
    8m 3s
    After completing this video, you will be able to describe key functions and characteristics of discriminant analysis. FREE ACCESS
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    11.  Multiple Analysis of Variance (MANOVA)
    9m 41s
    In this video, discover how to identify key considerations for MANOVA. FREE ACCESS
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    12.  Course Summary
    56s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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

Digital badges are yours to keep, forever.

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