Kelvin O. answered 02/18/24
I'm Kelvin and tutor Lover and am good at teaching,, alway
To determine the sample size needed for a poll with a 10% margin of error at a 99% confidence level, we use the formula:
\[ n = \frac{{Z^2 \cdot p \cdot (1 - p)}}{{E^2}} \]
Where:
- \( n \) = sample size needed
- \( Z \) = Z-value (corresponding to the desired confidence level)
- \( p \) = estimated proportion of the population supporting the candidate (usually taken as 0.5 if unknown)
- \( E \) = margin of error (proportion)
Given:
- Margin of error (\( E \)) = 0.10
- Confidence level = 99%
First, we find the Z-value corresponding to a 99% confidence level. This can be found using a standard normal distribution table or a calculator. Let's use the value of 2.576, rounded to four decimal places.
Now, we plug in the values into the formula:
\[ n = \frac{{2.576^2 \cdot 0.5 \cdot (1 - 0.5)}}{{0.10^2}} \]
\[ n = \frac{{6.635776 \cdot 0.25}}{{0.01}} \]
\[ n = \frac{{1.658944}}{{0.01}} \]
\[ n ≈ 165.89 \]
Rounded up to the nearest whole number, the sample size needed is 166.