Show all your calculations and write out all the assumptions you used to arrive at your answer. I will assume everyone is doing a random sampling (as opposed to stratified or another alternative sampling scheme).
According to the news article in the New York Times, 62% of voters in Phoenix, AZ voted to continue expanding the rail system. You wish to conduct a public opinion survey to see if this is really the case.
What is the sample size you will need to have an acceptable sample error of 2% with a 90% Confidence Interval (CI)? Also, we will assume the worst case of information and say our expected mean proportion of votes in favor of transit expansion is 50%.
Assume two levels of electorate: 150,000 and 4,500
Here we assume that the sampling distribution of the sample proportion is normally distributed.
Formula of sample size( n ) for proportion :
Let's find critical value Zc using excel
c = confidence level = 0.90
1 - c = = 0.10
/2 = 0.05
-Zc = "=NORMSINV(0.03)" = -1.645
Therefore Zc = 1.645
p = Assume proportion of voters in Phoenix, AZ voted to continue expanding the rail system = 0.62
E = margin of error = 0.02
Plugging these value in the formula of n, so we get :
n = 1593.85 =1594
Now let's find n in case of p = 0.5
n = 1691.27 = 1692 ( Because we round sample size to the next integer).
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