The standard error of the estimate, sest, is essentially the

In data regression, the standard error of estimate is defined by the square root of the summation of the difference of the predicted and actual values, divided by the number of data. Qualitatively, the sest measures the accuracy of the predicted values of your empirical model.

First take 10,000 * 2 = 20,000, because each of the 10,000 tickets cost 2 dollars.

3000(1/20000) + 1000(3/20000) + 500(5/20000) + 100(20/10000) = 10500/20000 = .525

Thus, each ticket is worth 52.5 cents.

Hope it helps <3