We say that a point estimator is unbiased if (choose one): its sampling distribution is centered exactly at the parameter it estimates. the standard deviation of its sampling distribution decreases as the sample size increases. its sampling distribution is normal. its value is always equal to the parameter it estimates. choices (a), (b), and (c) are all true.

a

step-by-step explanation:

the answer is a

10 b/c 5*2 =10

step-by-step explanation:

75%

step-by-step explanation:

answer: on graphs, the open and closed circles, or vertical asymptotes drawn as dashed lines us identify discontinuities.

as before, graphs and tables allow us to estimate at best.

when working with formulas, getting zero in the denominator indicates a point of discontinuity.

when working with piecewise-defined functions, check for discontinuities at the transition points where one piece ends and the next begins.

step-by-step explanation: