Six Sigma Statistics and Graphical Presentation

Six Sigma Green Belt    |    Intermediate
  • 13 videos | 40m 54s
  • Includes Assessment
  • Earns a Badge
  • Certification CPE
Rating 4.2 of 113 users Rating 4.2 of 113 users (113)
Basic graphs and tables can be used to summarize and assess business process improvement data in a meaningful way. Lean and Lean Six Sigma practitioners use descriptive statistics to tabulate and graphically represent sample data through a number of types of graphical presentation. Using analytical statistics, practitioners can then make decisions regarding process improvement, process control, and process design. This course will introduce the fundamentals of statistics, including statistical tools for describing, presenting, and analyzing data. It is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

WHAT YOU WILL LEARN

  • Distinguish between descriptive and inferential statistics
    Recognize the implications of the central limit theorem for inferential statistics
    Distinguish between tools for inferential statistics
    Calculate measures of central tendency
    Calculate measures of dispersion
    Interpret a given frequency distribution table
  • Identify the purpose of calculating cumulative frequency distribution
    Distinguish between correlation patterns in a scatter plot
    Identify characteristics of normal probability plots
    Recognize attributes of a process given a histogram
    Interpret a given stem-and-leaf plot
    Identify the types of information box-and-whisker plots can be used to graphically illustrate

IN THIS COURSE

  • 42s
  • 4m 10s
    During this video, you will learn how to distinguish between descriptive and inferential statistics. FREE ACCESS
  • Locked
    3.  Central Limit Theorem
    2m 43s
    Discover how to recognize the implications of the central limit theorem for statistics used to make inferences. FREE ACCESS
  • Locked
    4.  Tools Used for Inferential Statistics
    2m 34s
    In this video, you will learn how to distinguish between tools for inferential statistics. FREE ACCESS
  • Locked
    5.  Measures of Central Tendency
    4m 48s
    During this video, you will learn how to calculate measures of central tendency. FREE ACCESS
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    6.  Measures of Dispersion
    5m 34s
    In this video, find out how to calculate measures of dispersion. FREE ACCESS
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    7.  Frequency Distribution Table
    3m 8s
    Learn how to interpret a given frequency distribution table. FREE ACCESS
  • Locked
    8.  Cumulative Frequency Distribution
    1m 48s
    In this video, you will learn how to identify the purpose of calculating a cumulative frequency distribution. FREE ACCESS
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    9.  Scatter Diagrams
    4m 13s
    During this video, you will learn how to distinguish between correlation patterns in a scatter plot. FREE ACCESS
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    10.  Normal Probability Plots
    2m 39s
    Discover how to identify characteristics of probability plots that are normal. FREE ACCESS
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    11.  Histograms
    3m 29s
    In this video, you will learn how to recognize attributes of a process from a given histogram. FREE ACCESS
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    12.  Stem-and-leaf Plots
    2m 38s
    During this video, you will learn how to interpret a given stem-and-leaf plot. FREE ACCESS
  • Locked
    13.  Box-and-whisker Plots
    2m 29s
    In this video, find out how to identify the types of information that box-and-whisker plots can be used to graphically illustrate. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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