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.