Siddhant K. answered 06/29/23
Student Teacher! Patient and Thorough
To determine the sample size needed for the brand manager to be 90% confident that his estimate is within eight percentage points of the true population percentage, we can use the following formula:
n = (Z^2 * p * (1-p)) / E^2
where:
n = sample size
Z = Z-value corresponding to the desired level of confidence (in this case, 90% confidence)
p = estimated proportion (since nothing is known about the percentage, we can use 0.5 as a conservative estimate)
E = margin of error (in this case, 8 percentage points)
Substituting the values into the formula:
n = (Z^2 * p * (1-p)) / E^2
n = (Z^2 * 0.5 * (1-0.5)) / (0.08)^2
To determine the Z-value for a 90% confidence level, we can refer to the standard normal distribution table or use a calculator. The Z-value for a 90% confidence level is approximately 1.645.
Substituting the values into the formula:
n = (1.645^2 * 0.5 * (1-0.5)) / (0.08)^2
n = (2.705 * 0.5 * 0.5) / 0.0064
n = 0.67625 / 0.0064
n ≈ 105.78
Since the sample size needs to be a whole number, we round up to the nearest integer.
Therefore, the brand manager must survey at least 106 adults in order to be 90% confident that his estimate is within eight percentage points of the true population percentage.