One-Tailed Vs. Two-Tailed Tests: Differences & Examples
Write a 1000-word paper in which you define how hypothesis testing and its usefulness.
One-Tailed Vs. Two-Tailed Tests: Differences & Examples
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One-Tailed Test
A one-tailed test, also known as a directional hypothesis, is a test of significance to determine if there is a relationship between the variables in one direction. A one-tailed test is useful if you have a good idea, usually based on your knowledge of the subject, that there is going to be a directional difference between the variables.
Two-Tailed Test
A two-tailed test, also known as a non directional hypothesis, is the standard test of significance to determine if there is a relationship between variables in either direction. Two-tailed tests do this by dividing the .05 in two and putting half on each side of the bell curve.
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