Suppose a pollster wants to construct a 90% confidence interval. The expectation is that the winning candidate will end up with about 55% of the overall vote. How large should the pollster’s sample size be to ensure their election prediction is within one percent of the actual results?
Solution,
Given that,
= 0.55
1 - = 1 - 0.55 = 0.45
margin of error = E = 0.01
At 90% confidence level
= 1 - 90%
= 1 - 0.90 =0.10
/2
= 0.05
Z/2
= Z0.05 = 1.645
sample size = n = (Z / 2 / E )2 * * (1 - )
= (1.645 / 0.01)2 * 0.55 * 0.45
= 6697.41
sample size = n = 6698
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