Skip to content
LearnStatisticspowered by UpThink

Statistics and data science, defined

Homoscedasticity in hypothesis testing

In hypothesis testing, homoscedasticity means a situation in which the variance is the same for all the compared samples. Homoscedasticity facilitates testing because most tests rest on the assumption of equal variance.

Related entries

Where this gets used

We teach data science and statistics online, one subject at a time, on fixed start dates with an instructor who marks your work.