Two-Tailed Test

A two-tailed hypothesis test checks if a variation is significantly different from the control, without specifying whether it should be better or worse. It looks for an effect in both directions (positive or negative). This is the standard approach for most A/B tests, as you usually want to know about any significant impact, not just positive ones.