
Alex V. answered 10/07/21
PhD student with 5+ years of teaching experience
So to solve this we're going to want to look at the binomial probability distribution. Binomial probabilities are the tool we want when we're talking about a situation with (a) a population and a sample from that population or a number of trials (b) a yes/no property, like paying to ride or not paying, or being red or not-red (c) a probability of having that property in a single trial/sample.
The formula to use is:
nCx * Px * (1–P)n–x
And for us, n is the number of people, x is the number in our sample, and P^x is the probability that they don't pay, which is given as 0.23.
But the number we really want is the CUMULATIVE probability distribution that P(X > x). To find this we plug in the probability of not paying (0.23), the sample size (81), and the number of successes if the sample proportion IS 16% (it's 12.96, so I used 13). Then we can figure out the probability that our sample has a proportion greater than that.
You might also find this helpful ;) — https://stattrek.com/online-calculator/binomial.aspx
Hope that helps!