Suppose you like to keep a jar of change on your desk. Currently, the jar contains the following: 1717 Pennies 1010 Dimes 1919 Nickels 2323 Quarters Copy Data What is the probability that you reach into the jar and randomly grab a nickel and then, without replacement, a penny? Express your answer as a fraction or a decimal number rounded to four decimal places.

25.50

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! )

1. 3

2. 4

3. 1

hope this ! have a great day.

-wfz