Six Sigma Correlation, Regression, and Hypothesis Testing


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


Overview/Description
This course covers correlation analysis, regression analysis, and hypothesis testing. This course is aligned to the ASQ Body of Knowledge and is designed to assist Yellow Belt candidates toward achieving their certification.

Target Audience
Candidates seeking Six Sigma Yellow Belt certification, those who are new to the world of Six Sigma or have a small role, interest, or need to develop foundational knowledge, quality professionals, engineers, production managers, frontline supervisors, and all individuals including process owners and champions, charged with the responsibility of improving quality and processes at the organizational or departmental level

Prerequisites
None

Expected Duration (hours)
1.3

Lesson Objectives

Six Sigma Correlation, Regression, and Hypothesis Testing

  • identify the purpose of correlation analysis in Six Sigma
  • interpret a scatter diagram to determine correlation
  • 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
  • demonstrate your understanding of correlation analysis, regression analysis, and hypothesis testing

    • Course Number:
    apr_10_a03_bs_enus

    Expertise Level
    Intermediate