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Learn About Quality

What is Stratification?

Quality Glossary Definition: Stratification

Stratification is defined as the act of sorting data, people, and objects into distinct groups or layers. It is a technique used in combination with other data analysis tools. When data from a variety of sources or categories have been lumped together, the meaning of the data can be difficult to see. This data collection and analysis technique separates the data so that patterns can be seen and is considered one of the seven basic quality tools.

When to Use Stratification

  • Before collecting data
  • When data come from several sources or conditions, such as shifts, days of the week, suppliers, or population groups
  • When data analysis may require separating different sources or conditions
  • Equipment
  • Shifts
  • Departments
  • Materials
  • Suppliers
  • Day of the week
  • Time of day
  • Products

Stratification Procedure

  2. When plotting or graphing the collected data on a scatter diagram, control chart, histogram, or other analysis tool, use different marks or colors to distinguish data from various sources. Data that are distinguished in this way are said to be "stratified."
  3. Analyze the subsets of stratified data separately. For example, on a scatter diagram where data are stratified into data from source 1 and data from source 2, draw quadrants, count points, and determine the critical value only for the data from source 1, then only for the data from source 2.

Stratification Example


Stratification figure
Figure 1: Stratification Diagram


Stratification Analysis Considerations

  • Survey data usually benefit from stratification.

Create a Stratification Diagram

Stratification template (Excel) Analyze data collected from various sources to reveal patterns or relationships often missed by other data analysis techniques. By using unique symbols for each source, you can view data sets independently or in correlation to other data sets.


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