skip to Main Content

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.

For a better understanding of the One-Sample T-Test, check out our Black Belt Training & Certification Course!

Close search

Cart

×Close search
Search