In a random sample of 400 watches three are defective out of a total of 10,500 watches. How many would you expect to be defected based on the sample data?

Answer 1

To find the expected number of defective watches in the sample, we can use the proportion of defective watches in the total population.

Proportion of defective watches in the total population = 3/10,500 = 0.0002857

Expected number of defective watches in the sample of 400 watches = 0.0002857 * 400 = 0.1143

Therefore, we would expect approximately 0.1143 or about 0.11 watches to be defective based on the sample data.