Final answer:
To achieve a margin of error of 0.5 hours, a sample size of 952 approximately 956.17 people would be needed. The correct answer is 960 people.
Step-by-step explanation:
To determine the sample size needed to achieve a margin of error of 0.5 hours, we can use the formula:
n = (Z^2 * σ^2) / E^2
Where:
- n is the sample size
- Z is the Z-score corresponding to the desired confidence level (e.g., for a 95% confidence level, Z = 1.96)
- σ is the standard deviation
- E is the margin of error
Plugging in the values from the given information:
n = (1.96^2 * 7.9^2) / 0.5^2
n ≈ 959.17
Therefore, we would need a sample size of approximately 959.17 approximately 960 people.