Final answer:
To compute the 99% confidence interval for the population proportion, we can use the formula: lower bound = sample proportion - margin of error, upper bound = sample proportion + margin of error. Plugging in the given values, we get a confidence interval of (0.8199, 0.9001).
Step-by-step explanation:
To compute the 99% confidence interval for the population proportion, we can use the formula:
lower bound = sample proportion - margin of error
upper bound = sample proportion + margin of error
To calculate the margin of error, we need to use the formula:
margin of error = Z * sqrt((sample proportion * (1 - sample proportion)) / sample size)
Substituting the given values, we have:
sample proportion = 0.86
sample size = 349
Z = 2.58 (from the standard normal distribution table for a 99% confidence level)
Plugging in these values, we get:
margin of error = 2.58 * sqrt((0.86 * (1 - 0.86)) / 349) ≈ 0.0401
Therefore, the 99% confidence interval for the population proportion is approximately 0.86 ± 0.0401, or (0.8199, 0.9001).