Sameer polled a random selection of 120 out of the 250 workers at his office to determine whether they were satisfied with their office supply ordering process. The survey showed that 90 of the workers polled were satisfied.

With a desired confidence level of [tex]99 \%[/tex], which has a [tex]z^\ \textless \ em\ \textgreater \ [/tex] score of 2.58, what is the margin of error of Sameer's survey?

[tex]\[ E = z^\ \textless \ /em\ \textgreater \ \sqrt{\frac{\hat{p}(1-\hat{p})}{n}} \][/tex]

A. 7%
B. 10%
C. 12%
D. 18%



Answer :

To determine the margin of error for Sameer's survey, we need to use the formula for margin of error in proportion problems. Here is a step-by-step approach:

1. Identify the given information:

- Number of workers polled, [tex]\( n = 120 \)[/tex]
- Number of satisfied workers, [tex]\( x = 90 \)[/tex]
- Desired confidence level, [tex]\( 99\% \)[/tex]
- Corresponding critical value, [tex]\( z^* = 2.58 \)[/tex]

2. Calculate the sample proportion ([tex]\(\hat{p}\)[/tex]):
[tex]\[ \hat{p} = \frac{x}{n} = \frac{90}{120} = 0.75 \][/tex]

3. Use the formula for the margin of error [tex]\(E\)[/tex]:
[tex]\[ E = z^* \sqrt{\frac{\hat{p}(1 - \hat{p})}{n}} \][/tex]

4. Substitute the known values into the formula:
[tex]\[ E = 2.58 \sqrt{\frac{0.75(1 - 0.75)}{120}} \][/tex]

5. Simplify inside the square root first:
[tex]\[ \hat{p}(1 - \hat{p}) = 0.75 \times 0.25 = 0.1875 \][/tex]
[tex]\[ \frac{\hat{p}(1 - \hat{p})}{n} = \frac{0.1875}{120} \approx 0.0015625 \][/tex]

6. Take the square root of the above result:
[tex]\[ \sqrt{0.0015625} \approx 0.03954 \][/tex]

7. Multiply this result by the critical value [tex]\(z^*\)[/tex]:
[tex]\[ E = 2.58 \times 0.03954 \approx 0.10198 \][/tex]

8. Convert the margin of error into a percentage:
[tex]\[ E \times 100 = 0.10198 \times 100 \approx 10.198\% \][/tex]

Thus, the margin of error for Sameer's survey, when rounded to the nearest whole number, is approximately [tex]\(10\%\)[/tex]. Therefore, the correct answer is:
[tex]\[ \boxed{10\%} \][/tex]