What’s a One-Sample Sign Test?
The One-Sample Sign Test is a hypothesis test that determines whether a statistically significant difference exists between the median of a non-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 median or whether the difference is due to random chance.
An example would be testing whether a call center, that has guaranteed a median hold-time of 1 minute, is performing as promised.
Learn more about One-Sample Sign Tests in Analyze Phase, Module 4.4.2 of Black Belt Training.
How to Run a One-Sample Sign Test in Minitab
1. Select Raw Data:
2. In The Menu Click Stat > Nonparametrics > 1- Sample Sign:
3. Click on “OK”:
To learn more about One-Sample Sign Tests, register for Black Belt Training and review Analyze Phase, Module 4.4.2.
