Based on the proportion of defective watches in the random sample, we can calculate the expected number of defective watches in the total of 10,500 watches.
Proportion of defective watches in the random sample = 3/400 = 0.0075
Expected number of defective watches in 10,500 watches = 0.0075 * 10,500 = 78.75
Therefore, we would expect approximately 79 watches to be defective out of a total of 10,500 watches based on this sample data.
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? ___ watches
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