probability of using road B given the prisoner escaped

Related BrainMass Solutions

• Probability: jailer's reasoning

  free = 1/6 (Case 1) Probability of guard saying that B is set free = 1/6 + 1/3 (Case 1 + Case 3) = ½ Thus using Bayes theorem for conditional probability: P(A|B) = P(A ?

• Probability and chance

  251092 Probability puzzle A prison has 20 balls, 10 black and 10 white. The prisoner is to arrange the balls in 2 boxes. All of the balls must be used and there must be at least one ball in each box.

• Logic Problem - Death or freedom

  Therefore, the prisoner must choose Door 2 and he will be free. See attached for examples of logic problems. Solving a logic problem from Probability Theory by using two different models for the problem.

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  Continental Army escaped certain death from his enemies by running over the edge of the cliff above Ohio's Cuyahoga River, which is confined at that spot to a gorge. He landed safely on the far side of the river.

• Probability based on uniform distribution.

  Answer Let X be the commuting time . Give that X is uniform in (64,74). The probability density function of uniform distribution between (a,b) is given by f(x) = a≤x≤b Here the pdf is f(x) = A .

• Allegory of the Cave & Dualism

  However, the second world, according to Plato, was not the one of appearances, but instead one of truth, and truth cannot change, as the prisoner realized when he escaped the cave and came into the brilliant light of the sun.

• Quantitative Methods- Probabilities Problem

  So, the probability that a mile stretch of road will have exactly 7 potholes is b) That a half mile stretch of road will have at most 2 potholes. (6 points) Let Y be the number of potholes on that a half- mile road.

• Finding the conditional probability that a prisoner will be executed.

  ", the conditional probability of (Matthew NOT to be executed) is now: Pr(A|B)=P(A and B)/P(B) = (1/3)/(2/3) = 1/2 Thus, the unconditional probability of Matthew NOT to be executed is 1/2, which is higher than the unconditional probability of 1/3.

• Counting, probability and normal probability plot

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