A political campaign manager wishes to survey a number of voters to estimate the proportion of those who are in favor of his candidate. If a previous survey shows that 55% of registered voters plans to vote for his candidate, what is the minimum sample size required to make his survey accurate with a 95% confidence level and a margin of error of 2.5%?
The formula for error:
"E=z\\cdot \\sqrt{\\cfrac{\\hat{p}\\cdot (1-\\hat{p})}{n}}."
Here
"E\\ -" the error, "E=0.025" ;
"z\\ -" z-score, for 95% confidence level "z=1.96" ;
"\\hat{p}\\ -" the sample proportion, "\\hat{p}=0.55;"
"n\\ -" the sought sample size.
So,
"n=\\cfrac{z^2\\cdot\\hat{p}\\cdot (1-\\hat{p})}{E^2}=\\\\\n=\\cfrac{1.96^2\\cdot0.55\\cdot (1-0.55)}{0.025^2}=1521.3."
The minimum sample size is 1522.
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