Six Sigma Black Belt: Variances and Proportions, ANOVA, and Goodness-of-fit

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  • 7 videos | 1h 27m 21s
  • Earns a Badge
Rating 4.6 of 67 users Rating 4.6 of 67 users (67)
As a Six Sigma team moves into the Analyze phase of a project, team members begin analyzing the information and data collected in the earlier phases. During the Analyze phase, Six Sigma teams identify possible sources of variation, underlying root causes, and areas for improvement. It is here where assumptions or hypotheses about a process, product, or service are made and validated using tests based on sample data. This course aims to familiarize you with some of the advanced hypothesis tests used in Six Sigma. You are taken through the key steps in testing hypotheses for proportions, variances, and analysis of variance (ANOVA), and their underlying assumptions, with the help of examples and case studies. You will also learn how to use goodness-of-fit test statistics and contingency tables for validating hypotheses about various aspects of the variables being analyzed. 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
    Perform key steps in a hypothesis test for proportions, and interpret the results
    Perform key steps in a one-sample hypothesis test for variance, and interpret the results, and distinguish between characteristics of one-sample tests for variance and two-sample tests for variance
    Perform key steps in a one-way anova and interpret the results
  • Recognize examples of business problems that warrant a two-way anova, and interpret results in a two-way anova
    Identify business problems or organizational questions that are suitable for a goodness-of-fit test, and determine whether a goodness-of-fit test was calculated and interpreted correctly
    Identify statements that describe the purpose of contingency tables, and use a contingency table to test the relationship between two variables

IN THIS COURSE

  • Locked
    1.  Six Sigma Black Belt: Variances and Proportions, ANOVA, and Goodness-of-fit
    3m 29s
    After completing this video, you will be able to discover the key concepts that will be covered in this course. FREE ACCESS
  • Locked
    2.  Proportion Testing
    17m 9s
    After completing this video, you will be able to perform key steps in a hypothesis test for proportions, and interpret the results FREE ACCESS
  • Locked
    3.  Variance Testing
    13m 33s
    After completing this video, you will be able to perform key steps in a one-sample hypothesis test for variance, and interpret the results and distinguish between characteristics of one-sample tests for variance and two-sample tests for variance FREE ACCESS
  • Locked
    4.  One-way Analysis of Variance
    16m 5s
    After completing this video, you will be able to perform key steps in a one-way ANOVA and interpret the results FREE ACCESS
  • Locked
    5.  Two-way Analysis of Variance
    9m 44s
    After completing this video, you will be able to recognize examples of business problems that warrant a two-way ANOVA and interpret results in a two-way ANOVA FREE ACCESS
  • Locked
    6.  Chi-square Statistic and Goodness-of-fit Tests
    12m 18s
    After completing this video, you will be able to identify business problems or organizational questions that are suitable for a goodness-of-fit test and determine whether a goodness-of-fit test was calculated and interpreted correctly FREE ACCESS
  • Locked
    7.  Development and Use of Contingency Tables
    15m 3s
    After completing this video, you will be able to identify statements that describe the purpose of contingency tables and use a contingency table to test the relationship between two variables FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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