Six Sigma Data Classification, Sampling, and Collection

Six Sigma Green Belt
  • 15 Videos | 1h 7m 52s
  • Includes Assessment
  • Earns a Badge
  • Certification CPE
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One way of ensuring a successful business process improvement project is to measure key performance indicators (KPIs). And central to evaluating these KPIs is the identification, collection, and analysis of data related to process design and process control. This course covers the different data types relevant to Lean Six Sigma projects. It also explores data classification, as well as methods for sampling and collecting data as part of a Lean process improvement initiative. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.

WHAT YOU WILL LEARN

  • distinguish between data classifications
    distinguish between types of data
    determine whether to use discrete or continuous data, given a scenario
    determine the type of measurement scale being used, given an example
    identify principles of data sampling
    distinguish between sampling methods
    identify situations when you would use simple random sampling
  • identify situations when you would use stratified sampling
    identify characteristics of automated data collection
    identify data collection best practices
    distinguish between technologies used for data collection
    identify key considerations in creating a data collection plan
    distinguish between types of check sheets
    distinguish between data coding methods

IN THIS COURSE

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