Based on the sample data, we can calculate the proportion of defective watches in the sample: 3 / 400 = 0.0075.
To estimate the number of defective watches in the total population of 10,500 watches, we can use this proportion: 0.0075 * 10,500 = 78.75.
Therefore, we would expect approximately 78 or 79 watches to be defective out of a total of 10,500 watches based on this sample data.
Question
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
1 answer
1 answer