Answer:
The formula to calculate the minimum sample size required to estimate the population mean is given as:
n = (z^2 * σ^2) / E^2
Where,
z = the z-value for the given confidence level, which is 1.96 for c = 0.95
σ = the population standard deviation
E = the maximum error of estimate, also known as the margin of error
Plugging in the values, we get:
n = (1.96^2 * 9.1^2) / 1^2
n = 301.63
Rounding up to the nearest whole number, the minimum sample size required is 302.
Therefore, a sample size of at least 302 is needed to estimate the population mean with a 95% confidence level, assuming a population standard deviation of 9.1 and a maximum error of estimate of 1.
Explanation: