One-tailed test

A two-tailed test splits its rejection region equally between both tails of the distribution, testing for a difference in either direction. A one-tailed test instead places the entire rejection region in a single tail — say, the right tail when H₁ states the mean has increased. For the same significance level, the critical value is less extreme, giving more power to detect an effect in that direction, but none in the opposite one.