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Gabarito da Lista de Probabilidade

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-72003,02203,0220-5900-46003,02703,03203,02703,0320-3300-20003,03703,04203,03703,0420-7003,04703,05203,04703,052060019003,05703,06203,05703,0620320045003,06703,07203,06703,07205800710083743,07703,08193,07703,08199674109743,08693,09193,08693,0919122743,09693,0969135743,10193,1019-4-3,5-4-3,5-4-3,5-3-3-2,5-3-2,5-2,5-2-2-1,5-2-1,5-1,5-1-1-0,5-1-0,5-0,5000,500,50,5111,511,51,51,991,992,491,992,492,492,992,993,492,993,493,493,993,993,99<strong>Lista</strong> <strong>de</strong> Exercícios - Mo<strong>de</strong>los Probabilísticos 14No caso do Ven<strong>de</strong>dor, = 3200 e = 2600, P(X>3500) = P(Z>Z 2 ): Z 2 = (3500 – 3200)/2600 = 0,11.Veja os gráficos a seguir:0,50,40,40,30,30,20,20,10,10,00,50,40,40,30,30,20,20,10,10,0XZA probabili<strong>da</strong><strong>de</strong> <strong>de</strong> ganhar mais como ven<strong>de</strong>dor: P(X>3500) = P(Z>0,11) = 0,4562.b) Obviamente, o emprego na indústria <strong>de</strong>ve ser o escolhido, pois tem uma probabili<strong>da</strong><strong>de</strong> bem maior <strong>de</strong>proporcionar ganhos superiores ao salário atual do que o <strong>de</strong> ven<strong>de</strong>dor.61)a) P(X>3,05). = 3,062 e = 0,01 , P(X>3,05) = P(Z>Z 1 ): Z 1 = (3,05 – 3,062)/0,01 = -1,2. Veja osgráficos a seguir:0,50,40,40,30,30,20,20,10,10,00,50,40,40,30,30,20,20,10,10,0XZComo a distribuição normal padrão é simétrica em relação à média zero, e lembrando <strong>da</strong> proprie<strong>da</strong><strong>de</strong><strong>da</strong> probabili<strong>da</strong><strong>de</strong> do evento complementar, P(X>3,05) = P(Z>-1,2) = 1- P(Z>1,2) = 1-0,1151 = 0,8849.b) A solução é encontrar a probabili<strong>da</strong><strong>de</strong> dos eixos estarem <strong>de</strong>ntro dos padrões: P(3,04

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