Answer:
d. None of the above.
Step-by-step explanation:
<em>a. By the law of large numbers, it would again be 46%.
</em>
FALSE. This proportion (46%) is a sample statistic, that can or can not be repeated in another sample.
<em>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.
</em>
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.
<em>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.
</em>
FALSE. There is no evidence to claim that smaller samples are more homogeneous.
<em>d. None of the above.</em> TRUE
1. DE || AB - Given
2. DE 1/2 AB - side splitter theorem
3. CD/CA = CE/CB - sst = proportioned sides
Upon slight rearranging:
5xy-15y-40x+120, now factor 1st and 2nd pair of terms
5y(x-3)-40(x-3) which is equal to:
(5y-40)(x-3) if we factor the first parenthetical term as well
5(y-8)(x-3)
So (y-8) is a factor
-3A +3 = -24
Divide by -3
A -1 = 8
Add 1
A = 9
