Sue wants to know how many families in her small neighborhood of 50 homes would volunteer to at a neighborhood animal shelter. she put all the addresses in a bag and drew a random sample of 25 addresses. she then asked those families if they would volunteer to at the shelter. she found that 18% of the families would volunteer to at the shelter. she claims that 18% of the neighborhood families would be expected to at the animal shelter. is this a valid inference? yes, this is a valid inference because the 25 families speak for the whole neighborhood yes, this is a valid inference because she took a random sample of the neighborhood no, this is not a valid inference because she only asked 25 families no, this is not a valid inference because she did not take a random sample of the neighborhood

I belive the answer would be C.  

Step-by-step explanation:

Hope this helps! :D

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! )

by definition, an arc subtended by a central angle of some given measure has the same measure. so .