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Probability formula (not the answer)?

Can someone explain the formula used to solve this type of probability question?

Suppose recent MBA graduates have a 60% chance of being promoted. Out of 10 recent MBA graduates, answer the following questions.

a. What is the probability that no one will be promoted?

b. What is the probability that exactly half will be promoted?

c. What is the probability that more than half will be promoted?

d. What is the probability that all ten will be promoted?

Thanks in advance and best answer to first answer that works for me (I want to solve it myself though)

2 Answers

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  • 8 years ago
    Favorite Answer

    Binomial Distribution with n = 10, p = 0.6 and q = 0.4

    P(X = 0) = 10choose0 * 0.6^0 * 0.4^10 = 0.4^10

    P(X=5) = 10choose5 * 0.6^5 * 0.4^5, where 10choose5 = 10*9*8*7*6/(5*4*3*2*1)

    P(X>5) = P(X=6) + P(X=7) + ... + P(X=10)

    P(X = K) = 10chooseK * p^K * q^(10-K). plug & play

    P(X=10) = 10choose10* 0.6^10 * 0.4^0 = 0.6^10

  • 4 years ago

    The binomial threat formula says P(getting ok successes in n trials) = (n opt for ok) * (p^ok) (a million-p)^(n-ok) the place p is the prospect of achievement in one trial A) here, n = 10 because of the fact he has 10 possibilities to get a ultimate question. ok = 2 because of the fact we would desire to be attentive to what occurs whilst he gets precisely 2 precise. And p = a million/5 because of the fact on any given question he has a million/5 of threat of guessing properly. So we've (10! / 2!8!) * (a million/5)^2 (4/5)^(8) B) for buying no questions, ok =0. stick to something of the formula. C) Getting a minimum of one answer ultimate ought to be a million - P(getting no solutions ultimate). So hire the respond from B. D) Getting a minimum of 9 ultimate is P(getting precisely 9 ultimate) + P(getting precisely 10 ultimate). Use the formula for each physique.

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