Six Sigma DMAIC Process - Measure Phase - Variation / Discrete vs Continuous Thinking

Discrete Thinking – For instance; Payment posted on time? (Yes/No) Is the Payment amount correct? (Yes/No).
Continuous Thinking – For instance; When was payment posted? (number of hours); How much payment was applied? (value of transaction).

Some example of Discrete and Continuous data are as follows:
  • Response Time for an Email: Continuous
  • Customer Satisfaction Score: Discrete (as it falls on an ordered scale)
  • Talk Time: Continuous
  • Fatal Accuracy: Continuous
  • Survey Rating: Discrete
  • Number of Calls: Discrete
  • Number of Agents: Discrete
Characteristics of Data:
Quantitative data can be measured using Central Tendency and Spread/Variation.

Quantitative Data Characteristics

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