You can rule out A and C 6/6 makes 1 so that cancels so your answer is D
Answer: 
Step-by-step explanation:
Given
from the figure
![\angle HIE=\angle GIF\quad [\text{vertically opposite angles}]\\\angle HID+\angle DIE=\angle GIF\\15^{\circ}+(18x)^{\circ}-2^{\circ}=103^{\circ}\\(18x)^{\circ}=103^{\circ}-13^{\circ}\\\\x=\dfrac{90^{\circ}}{18}\\\\x=5^{\circ}](https://tex.z-dn.net/?f=%5Cangle%20HIE%3D%5Cangle%20GIF%5Cquad%20%5B%5Ctext%7Bvertically%20opposite%20angles%7D%5D%5C%5C%5Cangle%20HID%2B%5Cangle%20DIE%3D%5Cangle%20GIF%5C%5C15%5E%7B%5Ccirc%7D%2B%2818x%29%5E%7B%5Ccirc%7D-2%5E%7B%5Ccirc%7D%3D103%5E%7B%5Ccirc%7D%5C%5C%2818x%29%5E%7B%5Ccirc%7D%3D103%5E%7B%5Ccirc%7D-13%5E%7B%5Ccirc%7D%5C%5C%5C%5Cx%3D%5Cdfrac%7B90%5E%7B%5Ccirc%7D%7D%7B18%7D%5C%5C%5C%5Cx%3D5%5E%7B%5Ccirc%7D)
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
0.12 is your answerhahahaha
