PA 13-5 (Algo) Teddy Bower is an outdoor clothing and accessories chain... Teddy Bower is an outdoor clothing and accessories chain that purchases a line of parkas at $11 each from its Asian supplier, TeddySports. Unfortunately, at the time of the order placement, demand is still uncertain: Teddy Bower forecasts that its demand is normally distributed with a mean of 2,400 and a standard deviation of 1,000. Teddy Bower sells these parkas at $21 each. Unsold parkas have little salvage value; Teddy Bower simply gives them away to a charity (and also doesn't collect a tax benefit for the donation). Use Table 13.4 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. e. If Teddy Bower orders 3000 parkas, what is expected sales? Use Excel. (Round your answer to 2 decimal places.) f. If Teddy Bower orders 3000 parkas, what is expected profit? Use Excel. (Round your answer to 2 decimal places.) How many parkas should Teddy Bower order to ensure a 98.5% in-stock probability? how g. many parkas should Teddy Bower's order? Use Table 13.4. TABLE 13.4 The Distribution, FQ), and Expected InventoryQ), Functions for the Standard Normal Distribution Function F4 14) -4.0 0000 .0000 0000 .0000 -3.9 .0001 0000 -37 .0001 0000 -35 0002 0000 -3.5 0002 0001 -34 0003 0001 -3.3 .0005 0001 -3.2 0007 0002 -31 .0010 .0003 -3.0 0013 0004 -2.9 .0019 0005 .0026 000H .0035 0011 -25 0047 .0015 -2.5 0062 0020 -24 DDR2 0027 -2.3 0107 0037 -2.2 0139 0049 0179 0065 -20 0220 0085 -19 0287 0111 -18 0359 0143 0446 0183 -16 0548 0232 -1.5 OGG 0293 -14 ORCH 0367 0962 0455 -12 1151 0561 -1.1 1357 .0686 -10 0833 -0,9 1841 1004 -0.8 2119 1202 -07 2420 1620 -0.6 2743 1687 -0.5 1978 -0.4 3446 2304 -0.3 3821 2568 -02 4207 3069 -01 4502 3509 0 5000 3989 1 5308 4509 2 5793 5069 3 6179 5664 4 6554 6304 5 6945 .6978 .6 7257 767 7 .7580 .8429 7881 9202 .9 8154 10004 1.0 8413 10R33 11 8643 11686 1.2 8849 12561 13 9032 13455 1.4 9192 1.4367 1.5 9332 15293 16 10232 12 9554 17183 18 18143 19 9713 1911 20 9772 20085 21 21065 22 9851 22049 2.3 9893 2.3037 24 2.4027 2.5 993 2.5020 26 9953 26015 27 9965 2.7011 28 9974 2.800 2.9 2.9005 3.0 9987 3.0004 31 9990 3.1003 32 9993 3.2002 9995 3.3001 9997 3.4001 3.5 9998 3.5001 3.6000 32 9999 3.7000 38 9999 3.8000 39 10000 39000 40 10000 4.0000 PA 13-5 (Algo) Teddy Bower is an outdoor clothing and accessories chain... Teddy Bower is an outdoor clothing and accessories chain that purchases a line of parkas at $11 each from its Asian supplier, TeddySports. Unfortunately, at the time of the order placement, demand is still uncertain: Teddy Bower forecasts that its demand is normally distributed with a mean of 2,400 and a standard deviation of 1,000. Teddy Bower sells these parkas at $21 each. Unsold parkas have little salvage value; Teddy Bower simply gives them away to a charity (and also doesn't collect a tax benefit for the donation). Use Table 13.4 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. e. If Teddy Bower orders 3000 parkas, what is expected sales? Use Excel. (Round your answer to 2 decimal places.) f. If Teddy Bower orders 3000 parkas, what is expected profit? Use Excel. (Round your answer to 2 decimal places.) How many parkas should Teddy Bower order to ensure a 98.5% in-stock probability? how g. many parkas should Teddy Bower's order? Use Table 13.4. TABLE 13.4 The Distribution, FQ), and Expected InventoryQ), Functions for the Standard Normal Distribution Function F4 14) -4.0 0000 .0000 0000 .0000 -3.9 .0001 0000 -37 .0001 0000 -35 0002 0000 -3.5 0002 0001 -34 0003 0001 -3.3 .0005 0001 -3.2 0007 0002 -31 .0010 .0003 -3.0 0013 0004 -2.9 .0019 0005 .0026 000H .0035 0011 -25 0047 .0015 -2.5 0062 0020 -24 DDR2 0027 -2.3 0107 0037 -2.2 0139 0049 0179 0065 -20 0220 0085 -19 0287 0111 -18 0359 0143 0446 0183 -16 0548 0232 -1.5 OGG 0293 -14 ORCH 0367 0962 0455 -12 1151 0561 -1.1 1357 .0686 -10 0833 -0,9 1841 1004 -0.8 2119 1202 -07 2420 1620 -0.6 2743 1687 -0.5 1978 -0.4 3446 2304 -0.3 3821 2568 -02 4207 3069 -01 4502 3509 0 5000 3989 1 5308 4509 2 5793 5069 3 6179 5664 4 6554 6304 5 6945 .6978 .6 7257 767 7 .7580 .8429 7881 9202 .9 8154 10004 1.0 8413 10R33 11 8643 11686 1.2 8849 12561 13 9032 13455 1.4 9192 1.4367 1.5 9332 15293 16 10232 12 9554 17183 18 18143 19 9713 1911 20 9772 20085 21 21065 22 9851 22049 2.3 9893 2.3037 24 2.4027 2.5 993 2.5020 26 9953 26015 27 9965 2.7011 28 9974 2.800 2.9 2.9005 3.0 9987 3.0004 31 9990 3.1003 32 9993 3.2002 9995 3.3001 9997 3.4001 3.5 9998 3.5001 3.6000 32 9999 3.7000 38 9999 3.8000 39 10000 39000 40 10000 4.0000
