Answer:
d. None of the above.
Explanation:
a. By the law of large numbers, it would again be 46%.
FALSE. This proportion (46%) is a sample statistic, that can or can not be repeated in another sample.
b. By the law of large numbers, the smaller (second) survey will certainly produce a sample proportion farther from the true population proportion than the larger (first) survey.
FALSE. Smaller samples will produce wider confidence intervals for the estimation of the population proportion, but larger samples does not necessarily gives us better point estimations of the true proportion. A small sample can be closer to the true proportion than a large sample, although is less probable.
c. The proportion computed from the sample of 5000 people would be more accurate because smaller samples tend to be more homogeneous than larger samples.
FALSE. There is no evidence to claim that smaller samples are more homogeneous.
d. None of the above. TRUE