Need help with a thru c on this question. Please use this chart! thank you!

contracting terms offered by The Unlimited, Fashionables will also not be able to cancel, modify, or reorder sweaters during the selling season. Demand for each color during the season is normally distributed with a mean of 425 and a standard deviation of 200. Further, you may assume that the demands for each sweater are independent of those for a different color. Use Table 13.4 The Unlimited offers the sweaters to Fashionables at the wholesale price of $35 per sweater, and Fashionables plans to sell each sweater at the retail price of $65 per unit. The Unlimited does not accept any returns of unsold inventory. However, Fashionables can sell all of the unsold sweaters at the end of the season at the fire-sale price of $17 each. If a part of the question specifies whether to use Table 13.4, or to use Excel, then credit for a correct answer will depend on using the specified method. How many units of each sweater type should Fashionables order to maximize its a. expected profit? Use Table 13.4. (Round your answer to the nearest whole number.) b. If Fashionables wishes to ensure a 97.5 percent in-stock probability, what should its order quantity be for each type of sweater? Use Table 13.4. (Round your answer to the nearest whole number.) C. Say Fashionables orders 675 of each sweater. What is Fashionables' expected profit for all five sweater colors? Use Table 13.4. (Do not round intermediate calculations. Round your answer to 2 decimal places.) d. 0.1056 Say Fashionables orders 675 of each sweater. What is the stockout probability for each sweater? Use Excel. (Round your answer to 4 decimal places.) TABLE 13.4 The Distribution, FQ), and Expected Inventory, 10), Functions for the Standard Normal Distribution Function F(z) F(z) (z) .0000 F(z) 0968 -4.0 .0000 -1.3 .0455 1.4 9192 1.4367 -3.9 .0000 .0000 -1.2 . 1151 1.5 .9332 1.5293 0561 0686 -3.8 .0001 .0000 -1.1 .1357 1.6 9452 1.6232 -3.7 .0001 .0000 -1.0 .1587 0833 1.7 .9554 1.7183 -3.6 .0002 .0000 -0.9 .1841 .1004 1.8 9641 1.8143 -3.5 .0002 .0001 -0.8 2119 .1202 1.9 9713 1.9111 -3.4 .0003 .0001 -0.7 2420 .1429 2.0 9772 2.0085 -3.3 .0005 .0001 -0.6 2743 .1687 2.1 9821 2.1065 -3.2 .0007 .0002 -0.5 .3085 .1978 2.2 9861 2.2049 -3.1 .0010 .0003 -0.4 .3446 2304 2.3 9893 2.3037 -3.0 .0013 .0004 -0.3 3821 2668 2.4 .9918 2.4027 -2.9 .0019 .0005 -0.2 4207 3069 2.5 9938 2.5020 -2.8 .0026 .0008 -0.1 .4602 3509 2.6 9953 2.6015 -2.7 .0035 .0011 . .5000 3989 2.7 9965 2.7011 -2.6 .0047 0015 .1 .5398 .4509 2.8 9974 2.8008 -2.5 .0062 .0020 2 5793 5069 2.9 9981 2.9005 -2.4 .0082 0027 3 .6179 5668 3.0 9987 3.0004 -2.3 .0107 0037 .6554 .6304 3.1 9990 3.1003 -2.2 0139 .0049 5 .6915 .6978 3.2 9993 3.2002 -2.1 0179 .0065 .6 .7257 .7687 3.3 9995 3.3001 -2.0 0228 0085 .7 .7580 .8429 3.4 9997 3.4001 -1.9 0287 .0111 .8 .7881 9202 3.5 9998 3.5001 -1.8 0359 0143 9 8159 1.0004 3.6 9998 3.6000 -1.7 0446 .0183 1.0 .8413 1.0833 3.7 .9999 3.7000 -1.6 0548 .0232 1.1 .8643 1.1686 3.8 9999 3.8000 -1.5 .0668 0293 1.2 8849 1.2561 3.9 1.0000 3.9000 -1.4 .0808 .0367 1.3 .9032 1.3455 4.0 1.0000 4.0000