In this video, Dr. Richard Chua explains when to select, develop, and use chi-square contingency tables during a Six Sigma project.
- If your Grandmother needs to undergo a particular surgery…and there are four hospitals in the local area,…doesn't matter which hospital performs the surgery,…before you decide you will need to determine if…the outcome is independent of or dependent on…the choice of hospital.…To do this, let's take a look at the Chi-Square test,…using Contingency Tables.…So let's say these are the four hospitals…that perform the particular surgery that Grandma needs.…This is the most recent data from the past 12 months.…
The possible outcomes are full recovery,…partial recovery, and death.…Based on this data, is the outcome independent of hospital…or is the outcome dependent on hospital?…The appropriate hypophysis test for this,…is the Chi-Square test for association.…Also called the test for independence.…In general, the now hypothesis is outcome y,…is independent of factor x.…And the alternate is, outcome y is not independent.…
In other words, it is dependent on factor x.…In our example, the surgical outcome is…independent of hospital.…
Author
Richard Chua
Released
5/25/2017LinkedIn Learning (Lynda.com) is a PMI Registered Education Provider. This course qualifies for professional development units (PDUs). To view the activity and PDU details for this course, click here.
The PMI Registered Education Provider logo is a registered mark of the Project Management Institute, Inc. Dr. 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: Contingency tables