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 analysisIdentify guidelines for creating sampling plansDistinguish between types of variationInterpret variation results in a given scenarioIdentify uses of correlation analysis in six sigmaMake inferences about data based on a given scatter diagram
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Recognize considerations for interpreting the correlation coefficientIdentify characteristics of causationIdentify purpose of determining the statistical significance of a correlation coefficientRecognize how linear regression is used during data analysisRecognize appropriate conditions for hypothesis testingCalculate 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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4mIn this video, you will learn how to identify guidelines for creating a sampling plan. FREE ACCESS
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3m 32sDuring this video, you will learn how to distinguish between types of variation. FREE ACCESS
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2m 58sDiscover how to interpret variation results in a given scenario. FREE ACCESS
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2m 29sIn this video, you will learn how to identify uses of correlation analysis in Six Sigma. FREE ACCESS
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2m 56sDuring this video, you will learn how to make inferences about data based on a given scatter plot. FREE ACCESS
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5m 22sIn this video, find out how to recognize considerations for interpreting the correlation coefficient. FREE ACCESS
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2m 52sLearn how to identify characteristics of causation. FREE ACCESS
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2m 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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2m 25sDuring this video, you will discover how to recognize how linear regression is used during data analysis. FREE ACCESS
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1m 39sDiscover how to recognize appropriate conditions for hypothesis testing. FREE ACCESS
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1m 23sIn this video, you will learn how to calculate an outcome using the simple linear regression formula. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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