Course details

Data Types and Data Collection in Six Sigma

Data Types and Data Collection in Six Sigma

Target Audience
Expected Duration
Lesson Objectives
Course Number

During the Measure stage of the DMAIC methodology, a Six Sigma project team uses tools and techniques to measure process performance and gather data. These metrics are used to better understand the process, identify issues, and create performance benchmarks. This course introduces basic types of data, such as qualitative and quantitative data, as well as measurement scales. You will learn the elements of a data collection plan and how to use data collection tools, such as surveys and checklists. This course is aligned to the ASQ Body of Knowledge and is designed to assist Yellow Belt candidates toward achieving their certifications and becoming productive members of their Six Sigma project teams.

Target Audience
Candidates seeking Six Sigma Yellow Belt certification and any other individuals involved in quality and process improvement at the organizational or departmental level

Expected Duration (hours)

Lesson Objectives

Data Types and Data Collection in Six Sigma

  • recognize the role of data classification in a Six Sigma project
  • distinguish between examples of qualitative and quantitative data
  • distinguish between examples of continuous and discrete data
  • recognize types of measurement scales
  • recognize types of data and scales used to measure it
  • identify characteristics of automated data collection
  • identify components of a data collection plan
  • identify principles of data sampling
  • identify best practices for data collection
  • match terms used to describe the quality of data with their corresponding definitions
  • recognize principles of effective data collection
  • match technologies used for data collection with their corresponding characteristics
  • identify benefits of using a survey as a data collection tool
  • identify benefits of using interviews for data collection
  • identify best practices for creating checklists that will be used for data collection
  • recognize the benefits of various data collection techniques
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