Question #64848

In a University, 20% of all students are graduates and 80% are undergraduates.
The probability that a graduate student is married is 0.5 and the probability that an
undergraduate student is married is 0.1. One student is selected at random. What
is the probability that (i) he/she is married (ii) the student is a graduate if he/she is
found to be married?
1

Expert's answer

2017-01-27T12:00:13-0500

Answer on Question #64848 – Math – Statistics and Probability

Question

In a University, 20% of all students are graduates and 80% are undergraduates. The probability that a graduate student is married is 0.5 and the probability that an undergraduate student is married is 0.1. One student is selected at random. What is the probability that

(i) he/she is married

(ii) the student is a graduate if he/she is found to be married?

Solution

Let A1A_1 denote the event that a randomly selected student is, for example, graduates. Then the event A2=A1A_2 = \overline{A_1} means that a randomly selected student is undergraduates. So according to the task, we have


P(A1)=20%=0.2,P(A2)=80%=0.8.P(A_1) = 20\% = 0.2, \quad P(A_2) = 80\% = 0.8.


Further, let BB denote the event that a randomly selected student is married. Then the conditional probabilities are equal


P(BA1)=0.5,P(BA2)=0.1.P(B|A_1) = 0.5, \quad P(B|A_2) = 0.1.


(i) By the law of total probability, the probability that a randomly selected student is married is equal to


P(B)=P(A1)P(BA1)+P(A2)P(BA2)=0.20.5+0.80.1=0.18.P(B) = P(A_1)P(B|A_1) + P(A_2)P(B|A_2) = 0.2 \cdot 0.5 + 0.8 \cdot 0.1 = 0.18.


(ii) We know that the event BB has occurred, and we want to calculate the conditional probability of the event A1A_1. By Bayes' theorem, we have


P(A1B)=P(A1)P(BA1)P(B)=0.20.50.18=590.56.P(A_1|B) = \frac{P(A_1) \cdot P(B|A_1)}{P(B)} = \frac{0.2 \cdot 0.5}{0.18} = \frac{5}{9} \approx 0.56.


Answer: (i) 0.18; (ii) 0.56.

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