Answer:
The margin of error M.O.E = 2.5%
Explanation:
Given that;
The sample size = 1500
The sample proportion
= 0.60
Confidencce interval = 0.95
The level of significance ∝ = 1 - C.I
= 1 - 0.95
= 0.05
The critical value:
(From the z tables)
The margin of error is calculated by using the formula:




M.O.E = 0.02479
M.O.E ≅ 0.025
The margin of error M.O.E = 2.5%