A two-tailed hypothesis is a statistical hypothesis that tests for the possibility of an effect in both directions, meaning that it evaluates whether a parameter is either greater than or less than a specified value. This type of hypothesis is often used when researchers are interested in detecting any significant difference from the null hypothesis, without specifying a particular direction of the effect. The two-tailed approach allows for the identification of extreme values on either side of the distribution, making it a comprehensive method for hypothesis testing.
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