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In hypothesis testing, knowing when to use a one-tailed test or a two-tailed test is crucial. In this tutorial, the example of a company manufacturing potato chips with an average mass of 100 grams is used. The hypothesis is that the mean is 100 grams, while the alternative hypothesis is that the mean is not 100 grams. When the alternative hypothesis is not equal to a specific value, a two-tailed test is required. This is illustrated with a normal distribution graph where the rejection region is shaded on both sides. The z values are used to determine the critical value for rejection or acceptance of the hypothesis.