Of the customers who deal with a car rental company, 45% prefer an automatic car. If there are 35 cars avaliable, what is the probability that the company will not be able to meet the demand for automatics cars in a random group of 80 customers?
Wow that is a hard question to wrap your head around. Still a bit sketchy... but this is how I think the book got the answer:
Let X = number of people who want automatic
p = probability that people will want automatic (0.45)
n = 80 customers (this is the number of trials)
Thus your binomial would be written like this X~(80, 0.45)
Now you have 35 cars, but you are trying to find the probability that the company
wont meet the demand
So that would mean that the number of people who want autos (X) has to exceed 35 (as you don't have more than 35 cars).
So... type into the calculator binomCdf(80,0.45,36,80)
Otherwise written as Pr(X>35) or Pr (X = > 36) <---- that is meant to be a "greater than or equal to sign"
= 0.5432 !!!
Hope this makes sense.
