The Analyze Phase is the third phase of the DMAIC process, and focuses on identifying…
What’s a One-Sample T-Test?
The One-Sample T-Test is a hypothesis test that determines whether a statistically significant difference exists between the average of a normally distributed continuous data set and a standard. It provides a way to determine if there is truly a difference between the standard and a particular data set mean or whether the difference is due to random chance.
An example would be testing whether a supplier, that has guaranteed an average 12-ounce fill rate on their beverages, is performing as promised.