GO Based on the table, which best predicts the end
behavior of the graph of f(x)?
х
-4
-3
-2
-1
0
1
2
3
4.
- 00
f(x)
18
9
6
3
0
-3
-6
-9
-18
As x, f(x), and as x -- -00, f(x) →
As x, f(x), and as x →-00, f(x) --
As x, f(x) →-00, and as x ---, f(x)
As x > 00, f(x), and as x ---, f(x) -→ --

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! )