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how do you know when you're supposed to use a one-tailed test or a two-tail test let's say when you're solving problems associated with hypothesis testing how do you know well in this video we're going to talk about that so let's say that a company manufactures potato chips and that the average mass of each potato chip bag is a hundred grams so that is going to be the null hypothesis where the mean mu is a hundred grams now let's say that an employee believes this answer to be different he believes that the mean is not 100 grams so this is going to be the alternative hypothesis now whenever you have the situation whenever the alternative hypothesis doesn't equal some value you're going to have a two-tailed test so let's draw a picture of that so we have a normal distribution and we're going to shade the area on the left and on the right so this is a two-tailed test the shaded area represents the rejection region the area that is not shaded is the fail to reject region now the z values...
