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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.

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

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