Final answer:
To determine the sample size needed for a poll with a 6% margin of error at a 90% confidence level, we can use the formula: n = (Z^2 * p * (1 - p)) / E^2. Using the Z-score corresponding to a 90% confidence level (Z = 1.645) and a margin of error of 6% (E = 0.06), a sample size of 377 is needed.
Step-by-step explanation:
To determine the sample size needed for a poll with a 6% margin of error at a 90% confidence level, we can use the formula:
n = (Z^2 * p * (1 - p)) / E^2
Where:
- n is the sample size
- Z is the Z-score corresponding to the desired confidence level
- p is the estimated proportion of people supporting the candidate
- E is the desired margin of error
Since we need to estimate the proportion based on the given information, we don't have an estimated proportion. In this case, we use 0.5 as a conservative estimate, which gives us the largest sample size.
Using the Z-score corresponding to a 90% confidence level (Z = 1.645) and a margin of error of 6% (E = 0.06), we can calculate the sample size as follows:
n = (1.645^2 * 0.5 * (1 - 0.5)) / 0.06^2 = 376.36
Rounding up to the nearest whole number, a sample size of 377 is needed.