Course details

Six Sigma Hypothesis Tests for Variances and Proportions

Six Sigma Hypothesis Tests for Variances and Proportions


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
This course covers advanced hypothesis tests used in Six Sigma, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

Prerequisites
None

Expected Duration (hours)
1.0

Lesson Objectives

Six Sigma Hypothesis Tests for Variances and Proportions

  • 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
  • demonstrate your understanding of hypothesis testing for variances and proportions
  • Course Number:
    apr_04_a03_bs_enus

    Expertise Level
    Intermediate