A large study indicated that the average height of dogs from a certain region are 68.3 cm. Consider this to be the population mean. You measure the height of a random sample of dogs. The mean of the samples is 64.5 cm and the standard error is 3.8 cm. If the dogs you measured are from the same population as the larger study, approximately what percent of the time would you expect to measure a mean that is closer to the population mean than what you measured

the answer is f(x)=2x-1

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! )

3100

step-by-step explanation: