Final answer:
The variable of interest is the number of people who buy the product when introduced to it. The binomial distribution best describes the situation. The probability of exactly 9 people buying the product is approximately 19.60%.
Step-by-step explanation:
i. The variable of interest for this scenario is the number of persons who buy the product when introduced to it.
ii. The probability distribution that best describes this situation is the binomial distribution. This is because there are two possible outcomes for each person introduced to the product: they either buy it or they don't. The probability of buying the product is fixed at 60% for each person.
iii. To calculate the probability that exactly 9 people will buy the product, we can use the binomial probability formula:
P(X=k) = (n choose k) * p^k * (1-p)^(n-k)
where n is the sample size, k is the number of successes, p is the probability of success, and (n choose k) is the number of ways to choose k successes from n trials. Plugging in the values, we get:
P(X=9) = (15 choose 9) * (0.6^9) * (0.4^6) = 5005 * 0.6^9 * 0.4^6 ≈ 0.1960, or approximately 19.60%