Answer:
Confidence interval: (0.04649,0.04913)
Step-by-step explanation:
We are given the following in the question:
Sample size, n = 100,000
Number of people who donated, x = 4781
[tex]\hat{p} = \dfrac{x}{n} = \dfrac{4781}{100000} = 0.04781 [/tex]
95% Confidence interval:
[tex]\hat{p}\pm z_{stat}\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}[/tex]
[tex]z_{critical}\text{ at}~\alpha_{0.05} = 1.96[/tex]
Putting the values, we get:
[tex]0.04781 \pm 1.96(\sqrt{\dfrac{0.04781 (1-0.04781 )}{100000}})\\\\=0.04781 \pm 0.00132\\\\=(0.04649,0.04913)[/tex]
is the required 95% confidence interval for the true proportion of their entire mailing list who may donate.