Answer:
Given:
The Population Proportion $ (p) = 0.22 $
The Margin Of Error $ (E) = 0.03 $
The Confidence Interval Level $ = 95% $
Solution:
The Significance Level $ (\alpha) : $
$ \alpha = 1- 0.95 $
$ = 0.05 $
The Critical Value $ (z_c): $
$ z_c = z_{\alpha/2} $
$ = z_{0.05/2} $
$ = 1.96 $
→ Here we use a margin of error formula to find out the sample size
$ E = z_c \times \sqrt{\frac{p \times (1 – p)}{n}} $
$ 0.03 = 1.96 \times \sqrt{\frac{0.22 \times (1 – 0.22)}{n}} $
$ n = 732.47 $
$ n \approx 732 $
Final Answer:
The sample size $ (n) = 732 $