Step 1 :This problem is a binomial probability problem. The binomial distribution model is appropriate for a statistical experiment if the following conditions are met: 1. The experiment consists of n repeated trials. 2. Each trial can result in just two possible outcomes. We call one of these outcomes a success and the other, a failure. 3. The probability of success, denoted by P, is the same on every trial. 4. The trials are independent; the outcome on one trial does not affect the outcome on other trials.
Step 2 :In this case, the experiment is choosing 10 teenagers at random. Each trial can result in two possible outcomes: the teenager admits to using illicit drugs (success) or does not admit to using illicit drugs (failure). The probability of success is 3/8, and this probability is the same for each teenager chosen. The teenagers are chosen independently; choosing one teenager does not affect the probability of what the next teenager chosen will admit to.
Step 3 :The formula for the binomial probability is: \(P(X=k) = C(n, k) * (p^k) * ((1-p)^(n-k))\) where: - \(P(X=k)\) is the probability we are trying to calculate, - \(C(n, k)\) is the number of combinations of n items taken k at a time, - p is the probability of success, - n is the number of trials, and - k is the number of successes we want.
Step 4 :In this case, n=10, k=5, and p=3/8. We can plug these values into the formula to find the probability.
Step 5 :n = 10, k = 5, p = 0.375, combinations = 252, p_k = 0.007415771484375, p_n_k = 0.095367431640625, probability = 0.1782202161848545
Step 6 :The probability that exactly 5 out of 10 randomly chosen teenagers in the valley admit to using illicit drugs is approximately \(\boxed{0.178}\).