2. In column 4 compute the joint probabilities by multiplying the prior probability values in column 2 by the corresponding conditional probabilities in column 3 . 3. Sum the joint probabilities in column 4 to obtain the probability of the sample information I,P(I). 4. In column 5 , divide each joint probability in column 4 by P(I) to obtain the posterior probabilities, P(sjI). Use the given prior and conditional probabilities to compute the joint probabilities. The sum of the Joint Probabilities column gives P(I)=