Course Details

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Classifying and Collecting Data


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
This course covers data types, measurement scales, and data collection methods. This course is aligned to the ASQ Body of Knowledge and is designed to assist Yellow Belt candidates toward achieving their certification.

Target Audience
Candidates seeking Six Sigma Yellow Belt certification, those who are new to the world of Six Sigma or have a small role, interest, or need to develop foundational knowledge, quality professionals, engineers, production managers, frontline supervisors, and all individuals including process owners and champions, charged with the responsibility of improving quality and processes at the organizational or departmental level

Prerequisites
None

Expected Duration (hours)
1.5

Lesson Objectives

Classifying and Collecting Data

  • 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
  • identify characteristics of automated data collection
  • identify components of a data collection plan
  • identify principles of data sampling
  • identify best practices for data collection
  • distinguish between influencing factors on the quality of data
  • distinguish between technologies used for data collection
  • identify benefits of using a survey as a data collection tool
  • identify benefits of using interviews for data collection
  • identify characteristics of an effective checklist used for data collection
  • demonstrate your understanding of data classification and collection best practices
  • Course Number:
    apr_09_a02_bs_enus

    Expertise Level
    Intermediate