Based on this sample data, we can calculate the proportion of defective watches in the random sample:
Proportion of defective watches in the random sample = 3/400 = 0.0075
Next, we can use this proportion to estimate how many watches would be defective out of the total 10,500 watches:
Expected number of defective watches = Proportion x Total number of watches
Expected number of defective watches = 0.0075 x 10,500 = 78.75
Therefore, based on this sample data, we would expect approximately 79 watches out of the total 10,500 watches to be defective.
n a random sample of 400 watches, 3 are defective. Out of a total of 10,500 watches, how many would you expect to be defective based on this sample data?(1 point) watches
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