Of the automobiles produced at a particular plant, 40% had a certain defect. a. What is the probability that more than 50 cars will need to be inspected before one with the defect is found? b. What is the probability that the twentieth car inspected will have a defect? c. Suppose a company purchases five of these cars. What is the probability that exactly one of the five cars has a defect?

the answer   is 200

step-by-step explanation:

this is a problem about poisson probabilities.   i don't know if you've

already studied poisson distributions, or if you have a place to look

to read more about the subject.  

here's how you can see a poisson distribution coming.   when there are

a lot of events that may happen at any time (or any place), and when

you're counting how many of them happen at a particular time (or a

particular place), and each event is independent of the others, then

the result is a poisson distribution.   this is roughly true for the

chocolate chips; one chip being in a cookie has only a small effect on

the probability that another chip will be in the cookie.

once you know you have a poisson distribution, you know a lot.   there

is only one parameter to a poisson distribution, so if you know the

mean, you know everything.   the form of the distribution is

  probability of n chips = {[e^(-x)]*(x^n)} / (n! )

i really dont know

step-by-step explanation:

i think that you should ask google for the answer to that problem because if we don't know it google does

susie has 7 apples