The measures of accuracy of the forecasts . predict the future values and wait for a predefined time period to examine how accurate the predictions were check to see if the forecast error is negative check how well a particular forecasting method is able to reproduce the time series data that are already available use the current value to estimate how well the model generates previous values correctly

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! )

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step-by-step explanation:

answer: sherk

step-by-step explanation:

just give up and watch the best anime ever sherk