At 95% confidence, how large a sample should be taken to obtain a margin of error of 0.05 for the estimation of a population proportion? Assume that past data are not available for developing a planning value for p*. (Round your answer up to the nearest whole number.)

Respuesta :

Answer:

The sample size 'n' = 384

Step-by-step explanation:

Step(i):-

Given data the margin of error = 0.05

The margin of error of the estimation of a population proportion is determined by

[tex]M.E = \frac{Z_{\frac{\alpha }{2} }\sqrt{p(1-p} }{\sqrt{n} }[/tex]

Step(ii):-

In data not given sample proportion 'p' but

we know that [tex]\sqrt{p(1-p} \leq \frac{1}{2}[/tex]

[tex]0.05 = \frac{1.96 X \frac{1}{2} }{\sqrt{n} }[/tex]

cross multiplication, we get

0.05 ×√n = 0.98

[tex]\sqrt{n} = \frac{0.98}{0.05} = 19.6[/tex]

squaring on both sides, we get

n = 384.16≅ 384

Final answer:-

The sample size 'n' = 384