Six Sigma Exploratory Data Analysis

Six Sigma Green Belt    |    Intermediate
  • 13 videos | 37m 1s
  • Includes Assessment
  • Earns a Badge
  • Certification CPE
Rating 4.0 of 111 users Rating 4.0 of 111 users (111)
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

  • 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

  • 49s
  • 4m 11s
    Learn how to identify characteristics of a multivariate analysis. FREE ACCESS
  • Locked
    3.  Sampling Plans for Multi-vari Analysis
    4m
    In this video, you will learn how to identify guidelines for creating a sampling plan. FREE ACCESS
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    4.  Types of Variation
    3m 32s
    During this video, you will learn how to distinguish between types of variation. FREE ACCESS
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    5.  Interpreting Variation Results
    2m 58s
    Discover how to interpret variation results in a given scenario. FREE ACCESS
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    6.  Correlation Analysis
    2m 29s
    In 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 Analysis
    2m 56s
    During 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 Coefficient
    5m 22s
    In this video, find out how to recognize considerations for interpreting the correlation coefficient. FREE ACCESS
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    9.  Causation
    2m 52s
    Learn how to identify characteristics of causation. FREE ACCESS
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    10.  Testing Statistical Significance
    2m 24s
    In 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 Regression
    2m 25s
    During 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 Statistics
    1m 39s
    Discover how to recognize appropriate conditions for hypothesis testing. FREE ACCESS
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    13.  Using Regression Analysis to Predict Outcomes
    1m 23s
    In 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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