A pollster wants to construct a 95% confidence interval for the proportion of adults who believe that economic conditions are getting better. A Gallup poll taken in July 2010 estimates this proportion to be 0.33. Using this estimate, what sample size is needed so that the confidence interval will have a margin of error of 0.052 ?

Respuesta :

Answer: The sample size of 315 is needed so that the confidence interval will have a margin of error of 0.052 .

Step-by-step explanation:

The Margin of error for population proportion is given by :-

[tex]E=z_{\alpha/2}\times\sqrt{\dfrac{p(1-p)}{n}}[/tex]

Given : Significance level : [tex]\alpha = 1-0.95=0.05[/tex]

[tex]z_{0.025}=1.96[/tex]      [By standard normal distribution table]

Proportion of adults who believe that economic conditions are getting better : p=0.33.

Margin of error : E= 0.052

Substitute all the value in the above formula, we get

[tex]0.052=1.96\times\sqrt{\dfrac{0.33(0.67)}{n}}\\\\\Rightarrow\0.0265=\sqrt{\dfrac{0.2211}{n}} [/tex]

Squaring both sides , we get

[tex]0.00070225=\dfrac{0.2211}{n}\\\\\Rightarrow\ n=\dfrac{0.221}{0.00070225}=314.702741189\approx315[/tex]

Hence, the required sample size = 315