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) watches
Based on the sample data, we can calculate the proportion of defective watches in the sample:
Proportion of defective watches = (3/400) = 0.0075
We can then use this proportion to estimate the number of defective watches in the total population of 10,500 watches:
Number of expected defective watches = Proportion of defective watches * Total number of watches
Number of expected defective watches = 0.0075 * 10,500
Number of expected defective watches = 78.75
Therefore, based on this sample data, we would expect approximately 78.75 watches out of 10,500 to be defective.