Is your Data Reliable enough to do the Analysis?
- Attribute data – When data collected are in the form of count or categorized in the form of group. For e.g. accept or reject, good or bad, and so on. In such scenario, we use Attribute agreement analysis.
- Continuous data – When data collected are in the form of fractional or decimal value. For e.g. weight, length, time, temperature, etc. In such scenario, we use a Gage R & R analysis.
Suppose in a wheel manufacturing company, operators use gage to measure the diameter of the wheel. Are we 100% sure that the collected data is measured correctly or not?
With reference from the Gage Run Chart – Three operators measure 10 wheels, three times per wheel randomly. Here, we can examine the differences in measurements between operators. We can see that Operator B does not measure consistently, and Operator C usually measures lower than the other operators.