I could use some help on D through F. Please use Table 13.4 to solve the problem. Don't use Excel or your answer will be incorrect. Thanks, I'll make sure to upvote.

Table 13.4 is too long to fit into a single picture. The picture of the table is therefore broken up into multiple pictures but they all align with one another. Each number is an approximatation hence why I stated to not use Excel otherwise it will be wrong. Please help me to the best of your knowledge and I'll upvote for your time regardless!

Flextrola, Inc., an electronics systems integrator, is planning to design a key component for its next-generation product with Solectrics. Flextrola will integrate the component with some software and then sell it to consumers. Given the short life cycles of such products and the long lead times quoted by Solectrics, Flextrola only has one opportunity to place an order with Solectrics prior to the beginning of its selling season. Flextrola's demand during the season is normally distributed with a mean of 1,200 and a standard deviation of 600. Use Table 13.4. Figure 13.15 Jeg. Figure 13.16 Jeg Solectrics' production cost for the component is $55 per unit, and it plans to sell the component for $74 per unit to Flextrola. Flextrola incurs essentially no cost associated with the software integration and handling of each unit. Flextrola sells these units to consumers for $123 each, Flextrola can sell unsold inventory at the end of the season in a secondary electronics market for $49 each. The existing contract specifies that once Flextrola places the order, no changes are allowed to it. Also, Solectrics does not accept any returns of unsold inventory, so Flextrola must dispose of excess inventory in the secondary market I 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. What is the probability that Flextrola's demand will be within 25% of its forecast? 0.3831 Use Excel (Round your answer to 4 decimal places) What is the probability that Flextrola's demand will be more than 40% greater than 0.2119 Flextrola's forecast? Use Excel (Round your answer to 4 decimal places) Under this contract, how many units should Flextrola order to maximize its 1,500 expected profit? Use Table 13.4 b. C. d. 267.60 If Flextrola orders 1100 units, how many units of inventory can Flextrola's expect to sell in the secondary electronics market? Use Table 13.4 (Round your answer to 2 decimal places) If Flextrola orders 1100 units, what are expected sales? (Round your answer to 2 decimal places) 920,67 I Flextrola orders 1100 units what is expected profit? (Round your answer to 2 decimal places) 18,380.00 TABLE 13.4 The Distribution, F(Q), and Expected Inventory, (O). Functions for the Standard Normal Distribution Function z F(z) -4.0 0000 .0000 -3.9 0000 0000 -3.8 0001 0000 -3.7 0001 0000 -3.6 2000 0000 -35 .0002 0001 -34 0003 0001 -3.3 S000 0001 -3.2 0007 0002 -31 0010 0003 -3.0 2013 0004 0019 0005 28 0020 08 -22 MOSS 0001 26 DO 00 002 020 GROO 02 -2.3 .0107 .0037 -2.2 .0139 .0049 -2.1 .0179 .0065 -2.0 0228 0085 -1.9 0287 0111 -1.8 0359 0143 -17 0446 0183 -1.6 0548 0232 -1.5 0668 .0293 -1.4 0808 .0367 -13 0968 0455 1.2 1151 0561 - 1.1 1357 0686 -10 1587 .0833 -0.9 1841 1004 -0.8 2119 1202 -0.7 2420 1429 -06 2743 1687 -05 3085 1978 -64 3440 -0.3 3821 .2668 4207 3069 -0.2 -0.1 4602 3509 .0 5000 3989 1 15398 4509 2 .5793 .5069 13 6179 .5668 4 6554 .6304 5 6915 6978 6 7257 17687 7 7580 8429 8 7881 9202 9 8159 1.0004 1.0 8413 1.0833 11 81643 11686 8849 1.256 113 19032 1.3455 1/4 19192 1436 1.5 19332 1.5298 16 91452 1.6252 17 1055a 11718 1.8 .9641 1.8143 1.9 .9713 1.9111 2.0 .9772 2.0085 2.1 .9821 2.1065 2.2 .9861 2.2049 2.3 9893 2.3037 2.4 .9918 2.4027 2.5 .9938 2.5020 2.6 19953 2.6015 27 9965 2.7011 2.8 9974 2.8008 2.9 19981 2.9005 3.0 9987 3.0004 3.1 9990 3.1003 32 9993 3.2002 33 9995 3.3001 3.4 9997 3.4001 3.5 9998 3.5001 36 9998 3,6000 3.7 9999 3.7000 ( 1 ) 3.8000 3,8 6666 3.8000 3.9 1.0000 3.9000 4.0 10000 4.0000