A two-tailed hypothesis is a type of statistical hypothesis that predicts the presence of an effect or difference, but does not specify the direction of that effect. This means it tests for the possibility of both positive and negative outcomes, allowing researchers to determine if the observed data significantly deviates from a specified null hypothesis in either direction. It is crucial in sampling and hypothesis testing, as it accommodates a broader range of potential results.
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