Answer:
The answer to the question is
Margin of error = 2.83%
Step-by-step explanation:
The margin of error is the central range about the mean which provide a description of how accurate a given statistics sample information is in relation to the actual population. It is the radius of confidence of a statistic.
Margin of error for a proportion is given by
[tex]z*\sqrt{\frac{\rho(1-\rho)}{n} }[/tex]
Where
ρ = Sample proportion
n = Sample size
z = z score, critical value at 94 % = 1.88
= 1.88*[tex]\sqrt{\frac{0.6*0.4}{1060} }[/tex] = +2.8×10⁻²
⇒
1.88×(0.6×0.4/1060)^0.5
= 0.0283
Converting to percentage gives 0.0283×100 = 2.83%
Margin of error = 2.83%
