The conclusion for a test statistic is either to reject the null hypothesis" or to "not reject the null hypothesis". a good statistician never "accepts the alternate hypothesis". explain the reason you either "reject the null hypothesis" or "do not reject the null hypothesis". explanation should be at least 5-7 sentences."

Step-by-step explanation:

Hello!

The null hypothesis is the commonly accepted fact, if you were to make an experiment, you'll state in the null hypothesis what is already known of your population, another way to see it is that the null hypothesis has the "no change" statement. When doing a statistic test you seek to nullify the null hypothesis to replace it with the alternative hypothesis, i.e., the objective of any hypothesis test is to invalidate this hypothesis not to prove the alternative hypothesis right.

In short words, you work to annulate what is accepted knowledge and not to prove what you think happens.

I hope it helps!

whole numbers.

step-by-step explanation:

we are given the average monthly rainfall (in millimeters) model r(m) for the years 1900-2009 as a function of the month number m.

as we can see m is taken for the number of months for years 1900-2009.

we know that number of months can't be a negative number or decimal number or a fraction.

so, the number of months could be only positive whole numbers.

therefore, whole numbers is more appropriate for the domain of r.