Six Sigma Correlation, Regression, And Hypothesis Testing

Six Sigma Correlation, Regression, and Hypothesis Testing

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