# Please use the following distribution table to get the answer! 5.In a certain Asian country, the...

###### Question:

5.In a certain Asian country, the average weight of men is 60 kg and its standard deviation is 8 kg. The average of women is 52 kg and its standard deviation is 5 kg. If we select one man and one woman randomly, (5.1) What is the probability that the sum exceeds 100 kg? (5.2) What is the probability that the woman's weight exceeds the man's weight? (53) What is the probability that the woman's weight is at least ¾ of the man's weight?
(b) Table 1. Cumulative distribution function for the standard normal distribution (continued). The table gives the area under the standard normal probability curve between z-andz z Example If z1 2.56, then: P(-00 < z < 2.56) 0.99477 0 z 2 0.00 0.00 0.50000 0.50399 0.50798 0.51197 0.51595 0.51994 0.52392 0.52790 0.53188 0.53586 0.10 0.53983 0.54380 0.54776 0.55172 0.55567 0.55962 0.56356 0.56749 0.57142 0.57535 0.20 0.57926 0.58317 0.58706 0.59095 0.59483 0.59871 0.60257 0.60642 0.61026 0.61409 0.30 0.61791 0.62172 0.62552 0.62930 0.63307 0.63683 0.64058 0.64431 0.64803 0.65173 0.40 0.65542 0.65910 0.66276 0.66640 0.67003 0.67364 0.67724 068082 0.6849 1.68793 0.50 0.69146 0.69497 0.69847 0.70194 0.70540 0.70884 0.71226 0.71566 0.71904 0.72240 0.60 0.72575 0.72907 0.73237 0.73565 0.73891 0.74215 0.74537 0.74857 0.75175 0.75490 0.70 0.75804 0.76115 0.76424 0.76730 0.77035 0.77337 0.77637 0.77935 0.78230 0.78524 0.80 0.78814 0.79103 0.79389 0.79673 0.79955 0.80234 0.80511 0.80785 0.81057 0.81327 0.90 0.81594 0.81859 0.82121 0.82381 0.82639 0.82894 0.83147 0.83398 0.83646 0.83891 1.00 0.84134 0.84375 0.84614 0.84849 0.85083 0.85314 0.85543 0.85769 0.85993 086214 1.10 0.86433 0.86650 0.86864 0.87076 0.87286 0.87493 0.87698 0.87900 0.88100 0.88298 1.20 0,88493 0.88686 0.88877 0.89065 0.89251 0.89435 0.89617 0.89796 0,89973 0.90147 1.30 0.90320 0.90490 0.90658 0.90824 0.90988 0.91149 0.91308 0.91466 0.91621 0.91774 1.40 0.91924 0.92073 0.92220 0.92364 0.92507 0.92647 0.92785 0.92922 0.93056 0.93189 1.50 0.93319 0.93448 0.93574 0.93699 0.93822 0.93943 0.94062 0.94179 0.94295 0.94408 1.60 0.94520 0.94630 0.94738 0.94845 0.94950 0.95053 0.95154 0.95254 0.95352 0.95449 1.70 0.95543 0.95637 0.95728 0.95818 0.95907 0.95994 096080 0.96164 0.96246 0.96327 1.80 0.96407 0.96485 0.96562 0.96638 0.96712 0.96784 0.96856 0.96926 0.96995 0.97062 .90 0.97128 0.97193 0.97257 0.97320 0.97381 0.97441 0.97500 0.97558 0.97615 0.97670 2.00 0.97725 0.97778 0.97831 0.97882 0.97932 0.97982 0.98030 0.98077 0.98124 0.98169 2.10 0.98214 0.98257 0.98300 0.98341 0.98382 0.98422 0.98461 0.98500 0.98537 0.98574 2.20 0.98610 0.98645 0.98679 0.98713 0.98745 0.98778 0.98809 0.98840 0.98870 0.98899 2.30 0.98928 0.98956 0.98983 0.99010 0.99036 0.99061 099086 0.99111 090 ЛЯ9158 2.40 0.99180 0.99202 0.99224 0.99245 0.99266 0.99286 0.99305 0.99324 0.99343 0.99361 2.50 0.99379 0.99396 0.994 13 0.99430 0.99446 0.99461 099477 0.93492 D99505 2.60 0.99534 0.99547 0.99560 0.99573 0.99585 0.99598 0.99609 0.99621 D99632 99643 2.70 0.99653 0.99664 0.99674 0.99683 0.99693 0.99702 0.99711 0.99720 0.99728 0.99736 2.80 0.99744 0.99752 0.99760 0.99767 0.99774 0.99781 0.99788 0.99795 0.99801 0.99807 2.90 0.998 13 0.998 19 0.99825 0.99831 0.99836 0.99B41 0.99816 0.99851 D99856 09981 0.04 0.06 0.07 0.08 0.09

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