Question hrlp part b in % PLS help

In a P system, the lead time for a box of weed killer is two weeks and the review period is one week. Demand during the protection interval averages 245 boxes with a standard deviation of demand during the protection interval of 50 boxes: a. What is the cycle-service level when the target inventory is set at 300 boxes? Refer to the standard normal table as needed. The cycle-service level is 86.43 % (Enter your response rounded to two decimal places) b. In the foll season, demand for weed-killer decreases but also becomes more highly variable. Assume that during the foll season, derrand during the protection Interval is expected to decrease to 140 boxes, but with a standard deviation of domand during the protection interval of 60 boxes What would be the cyclo-service level management koope the target inventory level sot at 300 boxes? Refer to the standard normal table as needed The cyclo-nervice level would be % (Enter your response rounded to two decimal places) olo Z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.0 0.5000 0.5040 0.5080 0.5120 0.51600.5199 0.5239 0.5279 0.5319 0.5359 0.1 0.5398 0.5438 0.5478 0.5517 0.5557 0.5596 0.5636 0.5675 0.5714 0.5754 0.2 0.5793 0.5832 0.5871 0.5910 0.5948 0.5987 0.6026 0.6064 0.6103 0.6141 0.3 0.6179 0.6217 0.6255 0.6293 0.6331 0.6368 0.6406 0.6443 0.6480 0.6517 0.4 0.6554 0.6591 0.6628 0.6664 0.6700 0.6736 0.6772 0.6808 0.6844 0.6879 0.5 0.6915 0.6950 0.6985 0.7019 0.7054 0.7088 0.71230.7157 0.7190 0.7224 0.6 0.7258 0.7291 0.7324 0.7357 0.7389 0.7422 0.7454 0.7486 0.75180.7549 0.7 0.7580 0.7612 0.76420.7673 0.7704 0.7734 0.7764 0.77940.7823 0.7852 0.8 0.7881 0.79100.7939 0.7967 0.7996 0.8023 0.8051 0.8079 0.8106 0.8133 0.9 0.81590.8186 0.8212 0.8238 0.8264 0.8289 0.8315 0.8340 0.8365 0.8389 1.0 0.8413 0.8438 0.8461 0.8485 0.8508 0.8531 0.8554 0.8577 0.8599 0.8621 1.1 0.86430.8665 0.8686 0.8708 0.8729 0.87490.8770 0.8790 0.8810 0.8830 1.2 0.8849 0.8869 0.8888 0.8907 0.8925 0.8944 0.8962 0.8980 0.8997 0.9015 1.3 0.9032 0.9049 0.9066 0.9082 0.9099 0.9115 0.91310.9147 0.9162 0.9177 1.4 0.91920.9207 0.9222 0.9236 0.92510.9265 0.92790.9292 0.9306 0.9319 1.5 0.93320.9345 0.9357 0.9370 0.9382 0.9394 0.9406 0.9418 0.9430 0.9441 1.6 0.9452 0.9463 0.9474 0.9485 0.9495 0.9505 0.9515 0.9525 0.9535 0.9545 1.7 0.9554 0.9564 0.9573 0.9582 0.9591 0.9599 0.9608 0.9616 0.9625 0.9633 1.8 0.9641 0.9649 0.9656 0.9664 0.9671 0.9678 0.9686 0.9693 0.9700 0.9706 1.9 0.9713 0.9719 0.9726 0.9732 0.9738 0.9744 0.9750 0.9756 0.9762 0.9767 2.0 0.9772 0.97780.9783 0.9788 0.9793 0.9798 0.9803 0.9808 0.9812 0.9817 2.1 0.98210.9826 0.9830 0.9834 0.9838 0.9842 0.9846 0.9850 0.9854 0.9857 2.2 0.9861 0.9865 0.9868 0.9871 0.9875 0.9878 0.9881 0.9884 0.9887 0.9890 2.3 0.9893 0.9896 0.9898 0.9901 0.9904 0.9906 0.9909 0.9911 0.99130.9916 2.4 0.9918 0.9920 0.9922 0.9925 0.9927 0.9929 0.9931 0.9932 0.9934 0.9936 2.5 0.9938 0.99400.9941 0.9943 0.9945 0.9946 0.9948 0.9949 0.9951 0.9952 2.6 0.9953 0.9955 0.9956 0.9957 0.9959 0.9960 0.9961. 0.9962 0.9963 0.9964 2.7 0.9965 0.9966 0.9967 0.9968 0.9969 0.9970 0.9971 0.9972 0.9973 0.9974 2.8 0.9974 0.9975 0.9976 0.9977 0.99770.9978 0.9979 0.99800.99800.9981 2.9 0.9981 0.9982 0.9983 0.99830.9984 0.9984 0.9985 0.9985 0.9986 0.9986 3.0 0.99870.99870.9987 0.9988 0.9988 0.9989 0.9989 0.9989 0.9990 0.9990 3.1 0.9990 0.9991 0.9991 0.9991 0.9992 0.9992 | 0.9992 0.9992 0.9993 0.9993 3.2 0.9993 0.9993 0.9994 0.9994 0.99940.9994 0.9994 0.9995 0.9995 0.9995 In gaas 9005 gogh To 0996. In a Ingganggon ingaan 99023 W NINI NINI le 33 99