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

Answer 1

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.

Answer 2

wrong