A sweatshirt supplier is trving to decide how many sweatshirts to print for the upcoming NCAA baskerball champiorships. The final four teams have emerged from the Quarteffinal round, and there is now a week left until the semifinals, which are then followed in a couplo of days by the finals. Each sweatshirt costs s10 to produce and selis for $25. However, in three weeks, any leftover sweatshirts will be put on sale for hasi price, 512.50 . The supplier assumes that the sfemand for his sweatshirts during the next three weeks (when interest in the toumament is at its highest) has the distnbution shown in the file. P15 14.xisx. The residual demand, after the sweatshirts have been put on sale, has the distribution abo shown in this file. The supplier, being a proht maximizer, realizes that every sweatshirt sold, even at the sale price, vields a profit. Howevec, he also tealizes that any sweatshirts produced but not sold (even at the sale price) must be thrown awoy, resulting in a $10 loss per sweatshirt, Use eRtsK to analyze the sweatshirt situation. Usang the discrete distributions given in the problem, what are the mean and the standard deviation of the profit to the sweatahirt suppher. shiculd he docade to print 11,000 sweatshirts? Round your answers to the nearest whole dollar, if necessary. Repeat the sinulation using normal distrbutions instead. Assume that the regulor demand is normally distributed with mean 9800 and standard devistion 1.700 , and that the demend ot the reduced price is normally distributed with mean 3800 and standaed deviation 1400 . What are now the mean and the standard deviation of the profit te the The remals from Detsks Define Detributions are that the mean and sandard deviation for these dicrete dotnbubans are distributiahe