Let event A1 = box 1 chosen,
event A2 = box 2 chosen,
event A3 = box 3 chosen.
Since sum of probabilities
"P(A_1) + P(A_2) + P(A_3) = \\frac{1}{4} + \\frac{1}{6} + \\frac{1}{8}=\\frac{13}{24}\\not =1"events A1, A2, A3 are not exhaustive and Law of total probability can't be applied, and the problem should be modified.
For example we can find conditional probability that the ball chosen is green, given that we selected one of the boxes.
Let event G = selected ball is green,
event R = selected ball is red,
then conditional probability
"P(G\\cap(A_1\\cup A_2\\cup A_3))\/P(A_1\\cup A_2\\cup A_3)="
"P((G\\cap A_1)\\cup (G\\cap A_2)\\cup (G\\cap A_3))\/P(A_1\\cup A_2\\cup A_3)"
Conditional probabilities
P(G|A1) = 5/(5+5) = 5/10 = 1/2, P(G|A2) = 3/(3+7)=3/10, P(G|A3) = 4/(4+6) = 4/10 = 2/5,
therefor
"\\frac{(P(A_1)P(G|A_1)+P(A_2)P(G|A_2)+P(A_3)P(G|A_3))}{P(A_1\\cup A_2\\cup A_3)}="
"\\frac{1\/4\\cdot5\/10+1\/6\\cdot3\/10+1\/8\\cdot4\/10}{1\/4+1\/6+1\/8}="
"\\frac{5\/40+1\/20+1\/20}{13\/24}=\\frac{9\/40}{13\/24}="
"\\frac{9\\cdot24}{13\\cdot40}=\\frac{27}{65}."
Conditional probability
Answer to the modified problem: conditional probability that the ball chosen is green, given that we selected one of the boxes is 27/65, conditional probability that the ball chosen is red, given that we selected one of the boxes is 38/65.
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