Answer:
n = 139
It isnt reasonable for a real world calculation
Explanation:
The error for the true mean is calculated as follows:
![E= z(\sigma)/(√(n))](https://img.qammunity.org/2020/formulas/mathematics/high-school/xu1g4r9x9lkf2tbri6sgev48rraem3rgbe.png)
the z score for a 95% confidence is 1.96, replacing in the formula above you get:
![3 = 1.96(\mu)/(√(n) )](https://img.qammunity.org/2020/formulas/mathematics/high-school/i99vjltqsnaexndlim1sbmkkdofaazt8k8.png)
Solving for n you get that n = 138.3 = 139
According to (Yamane, 1967) for populations bigger than 100,000 you need a sample size of 1,111