Six Sigma Hypothesis Tests for Variances and Proportions

Six Sigma Green Belt    |    Intermediate
  • 14 videos | 43m 43s
  • Includes Assessment
  • Earns a Badge
  • Certification CPE
Rating 3.8 of 68 users Rating 3.8 of 68 users (68)
As a Lean or Lean Six Sigma project moves into the Analyze phase, team members identify possible sources of variation, underlying root causes, and areas for business process improvement. It is here where assumptions or the hypothesis about a process, product, or service are made. These are then validated using tests based on sample data. Once validated, they can drive process improvement, process control, and process design. In this course, you'll learn about some common advanced hypothesis testing techniques used for testing variances and proportions. This course covers advanced hypothesis tests used in Six Sigma, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

WHAT YOU WILL LEARN

  • Identify types of hypothesis tests
    Distinguish between comparison tests
    Interpret the results of a given paired-comparison t-test using the critical value method
    Interpret the results of a given paired-comparison t-test using the p-value method
    Interpret one-sample test for variance results
    Interpret two-sample test for variance results
    Recognize the required sample size for a test for proportions, given the hypothesized proportion
  • Interpret one-sample test for proportion results
    Interpret two-sample test for proportion results
    Distinguish between anova concepts
    Interpret one-way anova test results
    Recognize valid parameters and interpretations related to chi-square tests
    Interpret chi-square hypothesis test results

IN THIS COURSE

  • 37s
  • 2m 37s
    In this video, you will learn how to identify types of hypothesis tests. FREE ACCESS
  • Locked
    3.  Hypothesis Test for Paired-comparison
    3m 14s
    During this video, you will learn how to distinguish between different types of comparison tests. FREE ACCESS
  • Locked
    4.  Conducting a Paired-comparison t-test
    3m 36s
    In this video, find out how to interpret the results of a given paired-comparison t-test using the critical value method. FREE ACCESS
  • Locked
    5.  Examining Paired-comparison t-test Results
    3m 6s
    Learn how to interpret the results of a given paired-comparison t-test using the p-value method. FREE ACCESS
  • Locked
    6.  One-sample Test for Variance
    4m 48s
    In this video, you will learn how to interpret the results of a one-sample test for variance. FREE ACCESS
  • Locked
    7.  Two-sample Test for Variance
    3m 15s
    During this video, you will learn how to interpret two-sample test for variance results. FREE ACCESS
  • Locked
    8.  Key Characteristics of Tests for Proportions
    2m 23s
    Discover how to recognize the required sample size for a test for proportions, given the hypothesized proportion. FREE ACCESS
  • Locked
    9.  One-sample Proportion Tests
    3m 24s
    In this video, you will learn how to interpret the results of a one-sample test for proportion. FREE ACCESS
  • Locked
    10.  Two-sample Proportion Tests
    2m 50s
    During this video, you will learn how to interpret the results of a two-sample test for proportions. FREE ACCESS
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    11.  Basic ANOVA Concepts
    3m 10s
    In this video, find out how to distinguish between ANOVA concepts. FREE ACCESS
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    12.  One-way ANOVA Test
    4m 10s
    Learn how to interpret the results of a one-way ANOVA test. FREE ACCESS
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    13.  Basic Chi-square Test Concepts
    2m 19s
    In this video, you will learn how to recognize valid parameters and interpretations related to chi-square tests. FREE ACCESS
  • Locked
    14.  Conducting a Chi-square Hypothesis Test
    4m 12s
    During this video, you will learn how to interpret Chi-square hypothesis test results. FREE ACCESS

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