I put up with your bu/l/ls. hi. t for the last time, who would of thought that we were f/u/c/ki. ng for the last time (it was the last timmmeee) it was the last time, who would of thought that we were fu/c/k/ing was the last time I got this s/,h, it yeah I got problems with com/mi/ment ba. b/y,
I apo/logized to you I should have listened ba. by, I wasn't in lo. ve
With them h/o, e.s, I was just pi/m/pi/ng b. a/by, I knew my

Seriously stop being so immature and stop using this app for reasons it is not meant for.

Step-by-step explanation:

you messed up person

Step-by-step explanation:

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! )