Final answer:
The formula for determining the minimum sample size is N = (z * σ) / EBM, where N is the sample size, z is the critical value, σ is the population standard deviation, and EBM is the desired margin of error. For this particular question, with a bound on the error of the estimate of 2 and a desired confidence level of 0.95, the minimum sample size required to estimate the mean number of days of hunting per hunter within 2 days with a probability of 0.95 is 4 hunters.
Step-by-step explanation:
The formula for determining the minimum sample size, N, is given by:
N = (z * σ) / EBM
Where:
N is the sample size
z is the critical value corresponding to the desired confidence level (α/2)
σ is the population standard deviation
EBM is the desired margin of error
In this case, we have B = 2 as the bound on the error of the estimate. Given that the desired confidence level is 0.95, the critical value for α/2 = 0.025 is 1.96.
Substituting these values into the formula, we have:
N = (1.96 * σ) / 2
Since we are trying to estimate the mean number of days of hunting per hunter within 2 days with a probability of 0.95, and we are given σ = 4, we can further simplify the formula:
N = (1.96 * 4) / 2
N = 3.92
Finally, rounding the value of N to the closest integer gives us a minimum sample size of 4 hunters.