The manager of a fast-food restaurant wants to reduce the proportion of drive-through customers who have to wait more than two minutes to receive their food once their order is placed. Based on store records, the proportion of customers who had to wait at least two minutes was p = 0.63. To reduce this proportion, the manager assigns an additional employee to assist with drive-through orders. During the next month, the manger will collect a random sample of drive-through times and test the following hypotheses: H0 : p = 0.63 Ha : p < 0.63 where p is the true proportion of drive-through customers who have to wait more than two minutes after their order is placed for their food. True or False: An example of a Type 1 error would be if the manger decides that the true proportion of drive-through customers who have to wait at least two minutes has been reduced when it really hasn’t been reduced
The manager of a fast-food restaurant wants to reduce the proportion of drive-through customers who have to wait more than two minutes to receive their food once their order is placed. Based on store records, the proportion of customers who had to wait at least two minutes was p = 0.63. To reduce this proportion, the manager assigns an additional employee to assist with drive-through orders. During the next month, the manger will collect a random sample of drive-through times and test the following hypotheses:
H0 : p = 0.63
Ha : p < 0.63
where p is the true proportion of drive-through customers who have to wait more than two minutes after their order is placed for their food.
True or False: An example of a Type 1 error would be if the manger decides that the true proportion of drive-through customers who have to wait at least two minutes has been reduced when it really hasn’t been reduced
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