In 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)
Using the proportion of defective watches in the sample (3 out of 400), we can calculate the expected number of defective watches in the total population of 10,500 watches:
Expected number of defective watches = (3/400) * 10,500 = 78.75
Therefore, based on this sample data, we would expect approximately 78 defective watches out of the total 10,500 watches.