The sample size for the part (a) is 269, and the sample size for part (b) is 191 if a margin of error of 5 percentage points and use a confidence level of 90%
It is defined as an error that gives an idea about the percentage of errors that exist in the real statistical data.
The formula for finding the MOE:
[tex]\rm MOE = Z{score}\times\frac{s}{\sqrt{n} }[/tex]
Where is the z score at the confidence interval
s is the standard deviation
n is the number of samples.
We have:
MOE = 5% = 0.05 and
[tex]\alpha = 1-0.9 \Rightarrow 0.1[/tex]
Let's assume the value of p = 0.5, and q = 0.5
From the table:
[tex]\rm Z_{\alpha/2}\Rightarrow Z_{0.1/2}\Rightarrow Z_{0.05}\Rightarrow 1.64[/tex]
[tex]\rm n = p\times q \frac{Z^2_{\alpha/2}}{MOE^2}[/tex]
[tex]\rm n = 0.5\times 0.5\frac{1.64^2}{0.05^2}[/tex]
n = 268.96 ≈ 269
For part(b)
The value of p = 0.23, and q = 0.77
From the table:
[tex]\rm Z_{\alpha/2}\Rightarrow Z_{0.1/2}\Rightarrow Z_{0.05}\Rightarrow 1.64[/tex]
[tex]\rm n = p\times q \frac{Z^2_{\alpha/2}}{MOE^2}[/tex]
[tex]\rm n = 0.23\times 0.77\frac{1.64^2}{0.05^2}[/tex]
n = 190.53 ≈ 191
Thus, the sample size for the part (a) is 269, and the sample size for part (b) is 191 if a margin of error of 5 percentage points and use a confidence level of 90%
Learn more about the Margin of error here:
brainly.com/question/13990500
#SPJ1