1) Suppose a 95% confidence interval is computed for resulting in the interval (
ID: 3157079 • Letter: 1
Question
1) Suppose a 95% confidence interval is computed for resulting in the interval (112.4, 121.6). Then
there is a 95% chance that falls within the interval (112.4, 121.6).
95% of all the possible samples produce intervals that do capture
95% of the time, falls within the interval (112.4, 121.6).
95% of all the possible values of fall within the interval (112.4, 121.6).
2) What is the maximum sample size needed to estimate the proportion of adults in US who vote regularly and want to be 95% sure that the error of our estimate will not exceed 0.06, if we have no information about the true proportion? (Answer should be rounded up to nearest integer)
3)What is the maximum sample size needed to estimate the proportion of adults in US who vote regularly and want to be 95% sure that the error of our estimate will not exceed 0.06, if we use the 2012 Voter Turnout information about the true proportion is 0.59? (Answer should be rounded up to nearest integer)
4) The larger the sample size n, the smaller the maximum error of estimate.
True or False
5)The sample standard deviation S may be used in place of in the large-sample confidence interval for N provided n is at least _____.
there is a 95% chance that falls within the interval (112.4, 121.6).
95% of all the possible samples produce intervals that do capture
95% of the time, falls within the interval (112.4, 121.6).
95% of all the possible values of fall within the interval (112.4, 121.6).
Explanation / Answer
1.
OPTION A: there is a 95% chance that u falls within the interval (112.4, 121.6). [ANSWER]
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2.
Note that
n = z(alpha/2)^2 p (1 - p) / E^2
where
alpha/2 = 0.025
As there is no previous estimate for p, we set p = 0.5.
Using a table/technology,
z(alpha/2) = 1.959963985
Also,
E = 0.06
p = 0.5
Thus,
n = 266.7679737
Rounding up,
n = 267 [ANSWER]
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