(1) True/False: (a) To reduce the margin of error in a stratified sample, we should design strata so that the units within each stratum are as similar as possible. (b) To reduce the margin of error in a cluster sample, we should design clusters so that the units within each cluster are as similar as possible.

(1) True / False: (a) To reduce the margin of error in a stratified sample, we must design strata so that the units within each stratum are as similar as possible.

R = True, since to have a more exact margin you have to eliminate the errors, and as we do it by running error by error, in order to obtain a point on the graph where the products are within the positive margin and you can obtain a graph less error than the beginning.

(b) To reduce the margin of error in a group sample, we must design groups so that the units within each group are as similar as possible.

R = if this type of procedure is reliable because it helps you to correct the errors of the procedure, but to be able to do it you have to have very well accounted for, each piece of information, whether negative or positive, of the study being carried out and from there to create data that help reduce the margin of error.

its d but looking at that hurts my eyes frfr

step-by-step explanation: