Conditional Probability

Related BrainMass Solutions

• Calculating Conditional and Unconditional Probabilities

  Conditional probability is written P(A|B), and is read "the (conditional) probability of A, given B" or "the probability of A under the condition B".

• Bayes Theorem

  Conditional probability is examined.

• Conditional Distribution

  Do you see any patterns in the conditional probability distributions you calculated above? There is clearly a pattern above. The conditional probability of both demands being high is very low.

• Normal distribution :Probability and conditional probability

  This provides examples of calculating probability and conditional probability from normal distributions.

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

  This is a conditional probability question. The unconditional probability of Matthew to be executed is obviously 2/3, and the unconditional probability of Matthew NOT to be executed is 1/3. Because there's no addtional information.

• Discrete Distributions: Chips Being Red

  Since P(X=0)=(5/6)^2=0.6944, the conditional probability is bigger. This is not unusual, as the conditional probability is always greater than or equal to the corresponding prior probability.

• Linear programming

  Expected profit from stocking 0 Demand Probability Conditional Profit Expected Profit=Conditional profit X Prob 0 0.1 $0.00 $0.00 10 0.16 $0.00 $0.00 20 0.3 $0.00 $0.00 30

• Conditional Distribution of Point X

  What is the conditional distribution of the point x of arrival, given that the particle was detected by both devices. Please find probability solution in the attached file. The solution determines the conditional distribution of point x.

• A simple exercise in calculating conditional probability.

  P(Second|First) = P(First and Second)/ P(First) = 0.25 / 0.42 = 0.60 = 60% The following solution provides the formula for calculating a conditional probability and solve a simple conditional probability question.

• Joint Probability Density

  236790 Joint Probability Density If the joint probability density of X and Y is given by f(x, y) = {(1/4)(2x + y) for 0 < x < 1, 0 < y < 2 0 else where } Find: a) the marginal density of X b) the conditional