Six Sigma Exploratory Data Analysis
Six Sigma Green Belt
| Intermediate
- 13 videos | 37m 1s
- Includes Assessment
- Earns a Badge
- CPE
In the Analyze stage of the Six Sigma DMAIC process, project teams carefully analyze process output and input variables. The goal of this data analysis is to narrow down the many possible inputs identified during the Measure stage, and lead to business process improvement. The analysis is carried out using tools that help identify a few probable issues and drive process improvement, process design, and process control. In this course, you'll learn about some of the key tools used in exploratory data analysis in Lean and Lean Six Sigma, such as Multi-varied studies, Correlation analysis, and Regression models. The course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
WHAT YOU WILL LEARN
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Identify characteristics of a multi-vari analysis
Identify guidelines for creating sampling plans
Distinguish between types of variation
Interpret variation results in a given scenario
Identify uses of correlation analysis in six sigma
Make inferences about data based on a given scatter diagram -
Recognize considerations for interpreting the correlation coefficient
Identify characteristics of causation
Identify purpose of determining the statistical significance of a correlation coefficient
Recognize how linear regression is used during data analysis
Recognize appropriate conditions for hypothesis testing
Calculate an outcome using the simple least-squares linear regression formula
IN THIS COURSE
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49s
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4m 11sLearn how to identify characteristics of a multivariate analysis. FREE ACCESS
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3. Sampling Plans for Multi-vari Analysis4mIn this video, you will learn how to identify guidelines for creating a sampling plan. FREE ACCESS
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4. Types of Variation3m 32sDuring this video, you will learn how to distinguish between types of variation. FREE ACCESS
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5. Interpreting Variation Results2m 58sDiscover how to interpret variation results in a given scenario. FREE ACCESS
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6. Correlation Analysis2m 29sIn this video, you will learn how to identify uses of correlation analysis in Six Sigma. FREE ACCESS
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7. Using Scatter Diagrams for Correlation Analysis2m 56sDuring this video, you will learn how to make inferences about data based on a given scatter plot. FREE ACCESS
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8. Correlation Coefficient5m 22sIn this video, find out how to recognize considerations for interpreting the correlation coefficient. FREE ACCESS
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9. Causation2m 52sLearn how to identify characteristics of causation. FREE ACCESS
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10. Testing Statistical Significance2m 24sIn this video, you will learn how to identify the purpose of determining the statistical significance of a correlation coefficient. FREE ACCESS
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11. Using Linear Regression2m 25sDuring this video, you will discover how to recognize how linear regression is used during data analysis. FREE ACCESS
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12. Hypothesis Testing for Regression Statistics1m 39sDiscover how to recognize appropriate conditions for hypothesis testing. FREE ACCESS
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13. Using Regression Analysis to Predict Outcomes1m 23sIn this video, you will learn how to calculate an outcome using the simple linear regression formula. FREE ACCESS
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