Final answer:
The question involves using the binomial probability formula to calculate the probability that exactly 3 out of 5 visitors to a website are looking for that website. The steps involve calculating combinations, raising probabilities to the power of the number of successes and failures, and multiplying these together.
Step-by-step explanation:
The student's question is about finding the probability that exactly 3 out of 5 randomly selected visitors to a website are actually looking for that website, given that the website administrator estimates that 95% (100% - 5%) of visitors are looking for the website. This is a binomial probability problem because we have a fixed number of independent trials (n=5), each with two possible outcomes (looking for the website or not), and a constant probability of success (p=0.95).
To calculate the probability, we'll use the binomial probability formula:
- P(X=k) = nCk × p^k × (1-p)^(n-k)
Where: P(X=k) is the probability of k successes in n trials, nCk is the number of combinations of n items taken k at a time, p is the probability of success on a single trial, and (1-p) is the probability of failure on a single trial.
Substitute the given values into the formula:
- P(X=3) = 5C3 × 0.95^3 × (1-0.95)^(5-3)
Now calculate 5C3, which is the number of ways to choose 3 successes out of 5 trials:
Then the probability P(X=3) is:
- P(X=3) = 10 × 0.95^3 × 0.05^2
Perform the calculations to find the exact probability value.