Which of the following regarding the power of a significance test is/are correct? select all that apply. as the standard deviation increases, the power of the test decreases. as the α, the significance level, increases (e. g., from 0.05 to 0.10), the power of the test decreases. as the β, the probability of type ii error, increases (e. g., from 0.05 to 0.10), the power of the test increases. as the sample size increases, the power of a test increases. as the effect size increases, the power decreases. as the standard deviation increases, the power of the test increases.

goog may have it for you

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.

hence, the required result is

step-by-step explanation:

suppose we have two matrices a and b

we will assume the two matrices

we have to compute b-a which means subtracting corresponding elements of a from b.

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step-by-step explanation:

why? because i noticed a pattern. 60 120. those numbers without the zero, make the 6 times tables leaving your answer to be b since 6 times 4 is 24 and adding a zero making it 240.