MSA for Discrete Data is an experiment designed to assess various elements of discrete or attribute data collection including the definition of the “standard” or reference, i.e. “good,” “pass,” or “fail” and whether or not the operators interpret the standard the same way. These tests determine the level of defects…
Discrete data refers to categories or counts that can only be described in whole numbers; i.e. you can’t have half a defect or half a customer. This type of data is the opposite of continuous or variable data (temperature, weight, distance, etc.). Typical discrete data refers to the number of…
Attribute data refers to categories or counts that can only be described in whole numbers; i.e. you can’t have half a defect or half a customer. This type of data is the opposite of continuous or variable data (temperature, weight, distance, etc.). Typical Attribute Data refers to the number of…