An agent sells life insurance policies to five equally aged, healthy people. According to recent data, the probability of a person living in these conditions for 30 years or more is 2/3. Calculate the probability that after 30 years:
a. All five people are still living.
b. At least three people are still living.
c. Exactly two people are still living.
Let us consider person living in these conditions for "30" years or more is a success.
Then probability of success is "\\frac{2}{3}" and probability of failure is "\\frac{1}{3}".
"\\therefore p=\\frac{2}{3}" and "q=\\frac{1}{3}".
Now we know that for binomial distribution probability of getting "r" success from "n" trial is "={^n}C_r.p^r.q^{(n-r)}"
(a) Here "n=5,r=5"
"\\therefore" Probability of all five people are still living is "={^5}C_5.(\\frac{2}{3})^5.(\\frac{1}{3})^{(5-5)}=(\\frac{2}{3})^5"
(b) Here "n=5" .We have to calculate the probability for "r=3,4,5" .
"\\therefore" Probability of at least three people are still living is "={^5}C_3.(\\frac{2}{3})^3.(\\frac{1}{3})^{(5-3)}+{^5}C_4.(\\frac{2}{3})^4.(\\frac{1}{3})^{(5-4)}+{^5}C_5.(\\frac{2}{3})^5.(\\frac{1}{3})^{(5-5)}"
"=24.(\\frac{2^3}{3^5})"
(c) Here "n=5,r=2"
Probability of exactly two people are still living "={^5}C_2.(\\frac{2}{3})^2.(\\frac{1}{3})^{(5-2)}" "={^5}C_5.(\\frac{2}{3})^2.(\\frac{1}{3})^{3}" "=\\frac{4}{3^5}"
Comments
Dear Priya, thank you for correcting us.
Why u have taken value of probability 3/4 when it is given in question that is 2/3
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