We saw that the sufficient conditions for a consistent estimator included the condition that the limit of the variance of the estimator must be zero as n increases. Since the formula for the variance of our estimated β^2 does not include an n in the denominator, unlike the variance of the sample mean, we can prove that it is asymptotically unbiased, but we cannot claim that it is consistent.
O True
O False

step-by-step explanation:

ok so im not 100% sure but you would start by adding 5.1t and 1.9t beacuse they have the same variable. that is 7t.   then add -3.6 + 1.2 which is -2.4

so then keep that as -2.4 + 7t. i apologize if this is incorrect. best luck on your test < 3

the smallest possible measurement of the width is 14 feet

step-by-step explanation:

let's assume length of parallelogram is 'l'

width of parallelogram is 'w'

the perimeter of a parallelogram must be no less than 40 feet

so, we get

we are given

length of parallelogram is 6 feet

so,

l=6

we can plug it

now, we can solve for w

subtract both sides by 12

divide both sides by 2

and we get

so,

the smallest possible measurement of the width is 14 feet

they go with it happens or they mite give a chance?

step-by-step explanation: