A researcher wishes to be 95% confident that her estimate of the true proportion of individuals who travel overseas is within 4% of the true proportion. Find the sample necessary if, in a prior study, a sample of 200 people showed that 40 traveled overseas last year. If no estimate of the sample proportion is available, how large should the sample be

Respuesta :

Answer: If in a prior study, a sample of 200 people showed that 40 traveled overseas last year, then n= 385

If no estimate of the sample proportion is available , then n= 601

Step-by-step explanation:

Let p be the prior population proportion of people who traveled overseas last year.

If p is known, then required sample size = [tex]n=p(1-p)(\dfrac{z^*}{E})^2[/tex]

z-value for 95% confidence = 1.96

E = 0.04  (given)

[tex]p=\dfrac{40}{200}=0.2[/tex]

[tex]n=0.2(1-0.2)(\dfrac{1.96}{0.04})^2=384.16\approx385[/tex]

Required sample size = 385

If p is unknown, then required sample size = [tex]n=0.25(\dfrac{z^*}{E})^2[/tex]

, where E = Margin of error , z* =critical z-value.

z-value for 95% confidence = 1.96

E = 0.04  (given)

So, [tex]n=0.25(\dfrac{1.96}{0.04})^2=600.25\approx601[/tex]

Required  sample size = 601.