In this video, Dr. Richard Chua explains how to test for correlation when conducting a Six Sigma project.
- Have you ever wondered if the amount of coffee…consumed on the morning of a test…affects the outcome of your test score?…Or is there a relationship between…the price of apples and the price of gas?…What I'm really asking is, is there a correlation?…In Six Sigma projects we're interested in seeing…and analyzing how potential axis impact Y.…Is there a relationship between X and Y?…And if there is, is it a…statistically significant relationship?…That's when a Correlation Hypothesis Test is needed.…
In Green Belt Training, you'll learn that…when there a relationship between two variables…we say there is correlation.…The strength of the relationship in quantified…but the Correlation Coefficient…or Pearson Correlation Coefficient.…It can range from minus one to plus one…and if there is no correlation the…coefficient is zero or close to zero.…The correlation and coefficient are positive…if one variable increases as the other increases.…
With a maximum positive correlation of plus one.…And the coefficient is negative…
Author
Richard Chua
Released
5/25/2017Dr. Richard Chua builds upon his Six Sigma: Green Belt, Six Sigma Foundations, and Learning Minitab courses—which are prerequisites to this course—and covers an array of topics, including measurement system analysis, hypothesis testing, response surface methods, displaying improved process capabilities, and more.
- Process flow metrics
- Measurement system analysis
- Calculating process capability
- Hypothesis testing
- Confidence intervals
- Testing for normality
- Designing, conducting, and analyzing full-factorial experiments
- Using fractional factorial experiments for screening
- Displaying improved process capability
Skill Level Intermediate
Duration
Views
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Introduction
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Welcome1m 38s
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Certification information1m 31s
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Exercise files34s
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1. Define Phase
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Overview of the Define phase3m 51s
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2. Measure Phase
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Process flow metrics3m 34s
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Sample sizes3m 7s
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3. Analyze Phase
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Hypothesis testing road map3m 33s
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Confidence intervals3m 14s
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Test for normality2m 49s
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Compare variances5m 16s
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T-tests6m 4s
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ANOVA3m 55s
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Contingency tables6m 49s
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Nonparametric tests6m 49s
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Correlation3m 45s
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Linear regression4m 38s
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Multiple regression5m 5s
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4. Improve Phase
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Full-factorial experiments9m 19s
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DOE with curvature6m 27s
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Response surface methods8m 37s
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5. Control Phase
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SPC chart selection4m 46s
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SPC chart analysis5m 1s
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Conclusion
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Next steps56s
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Video: Correlation