A Student Union executive wants to estimate the proportion of
homeowners who live in a sub-division that neighbors the university
are opposed to city council move that removes residential
restrictions that would allow for more secondary-suites.
This SU executive hires you to take a poll of nn homeowners in the
sub-division. You wish to be 99% confident in your sample. In
addition, you want to estimate pp to within 0.031 of the true value
of pp.
(a) How large of a random sample should you take?
(When values from a distribution, use three decimals.)
(b) You decide to take a small simple random
sample of n=7n=7 home-owners, of which 22 indicated they are
against more secondary-suites. From this information, how many
homeowners should you randomly sample to estimate pp? Use the same
level of confidence and error as you did in
(a)
a)
here margin of error E = | 0.031 | |
for99% CI crtiical Z = | 2.576 | |
estimated proportion=p= | 0.500 | |
required sample size n = | p*(1-p)*(z/E)2= | 1727.00 |
( please try 1732 if this comes wrong due to rounding error)
b)
here proportion p=2/7=0.286
required sample size n = | p*(1-p)*(z/E)2= | 1410.00 |
( please try 1414 if this comes wrong due to rounding error)
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