List any two applications of conditional probability. You have 9 families you would like to invite to a wedding. Unfortunately, you can only invite 6 families. How many different sets of invitations could you write?

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Suresh Chand · Accepted Answer

The probability that an event A occurs given that event E has already occured written as p(A|E) and read as the conditional probability of A given E is (p(frac{A}{E}) = frac{p(A∩E)}{p(E)}) , p(E) > 0 Its two applications are Diagonosis of medical conditions (Sensitivity | Specificity) Data analysis and model comparision In Baye's theorem and Markob process Here, given Total families = 9 Families I can invite = 6 Total set of invitation I could write = p C 6 = (frac{9!}{(9-6)! times 6!}) = 84 So, 84 different set of invitations can be writtenby me.

List any two applications of conditional probability. You have 9 families you would like to invite to a wedding. Unfortunately, you can only invite 6 families. How many different sets of invitations could you write?

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List any two applications of conditional probability. You have 9 families you would like to invite to a wedding. Unfortunately, you can only invite 6 families. How many different sets of invitations could you write?

Leave your Answer: