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Parole USA Today reports that about 25% of all prison parolees become repeat offenders. Alice is a social worker whose job is to counsel people on parole. Let us say success means a person does not become a repeat offender. Alice has been given a group of four parolees.a) find the probability of exactly 3 successes.b) What is the expected number of parolees in Alice's group who will not be repeat offenders? What is the standard deviation?

User Kreo
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Given n = 4, p = 25 % , q= 1- p

since 25% of all prison parolees become repeat offenders


\begin{gathered} \text{success = does not become repeat offender} \\ p\text{= 1-25\%} \\ q=1-(25)/(100)=(75)/(100) \end{gathered}

(a) Consider that the random variable X follows a binomial distribution with parameters n and p. So, the binomial probability is,

The probability of x successes in n trials is:


P=nC_x_{}\cdot p^xq^(x-n)
nCx=(n!)/(x!n-x!)

Here, r is the number of successes that results from the binomial experiment, n is the number of trials in the binomial experiment, and p is the probability of success on an individual trial. Thus, the probability of exactly 3 successes in 4 trials can be computed as:


\begin{gathered} p(x=3)=4C_3(0.75)^3(0.25)^1 \\ p(x=3)=0.4219 \end{gathered}

The probability of exactly 3 successes = 0.4219

(b) The expected number of parolees in Alice group will not be repeat offenders = 3


\begin{gathered} =0.75\text{ x 4 } \\ =3 \end{gathered}

(c) Standard deviation = 0.8660


\begin{gathered} \sigma=\sqrt[]{npq} \\ \sigma=\sqrt[]{4*0.75*0.25} \\ \sigma=0.8660 \end{gathered}

User Jino Shaji
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