What is the difference between a one-tailed and a two-tailed hypothesis test?
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A one-tailed and a two-tailed hypothesis test are both methods used in statistics to test a hypothesis about a population parameter, but they differ in the directionality of the test.
In practice, two-tailed tests are more commonly used because they cover both possible directions of change, while one-tailed tests are used when there is a strong theoretical reason to only consider one direction.