g X, Y, and Z are all estimators of the same parameter. X and Y are unbiased estimators, while Z is biased. Also, the variance of X is larger than the variance of Y which is larger than the variance of Z. What can you conclude about in this case about the relative efficiency of these estimators

Step-by-step explanation:

Going by variance size, Estimator Z is relatively more efficient than Estimator Y and Estimator Y is relatively more efficient than Estimator X.

By bias, estimators X and Y would have been preferred to estimator Z but if estimator Z has small bias, it should be more efficient than X and Y, especially as it has the smallest variation (variance) from the true value of the variable.

the answer is b: 18

step-by-step explanation:

use the pythagorean theorem to .

a^2+b^2=c^2

plug 18 for "r"

the 2 legs are 18 and 24

18^2+24^2=c^2

324+576=c^2

900=c^2

c=30

30-12=18

18 is the radius

: )