To find the expected number of defective watches in the entire population, you can use the proportion of defective watches in the sample.
Proportion of defective watches in the sample = 3/400 = 0.0075
Expected number of defective watches in the entire population = 0.0075 * 10,500 = 78.75
Therefore, based on the sample data, you would expect approximately 79 watches to be defective out of the total 10,500 watches.
In a random random sample of 400 watches three are defective out of a total of 10,500 watches. How many would you expect to be defective based on the sample data?
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