In a survey of 75 students, 18 said they would benefit from summer school.

Given a 95% level of confidence with a z-score of 1.96, what is the margin of error?

(1 point)
Responses

10%
10%

47%
47%

0.096%
0.096%

24%

1 answer

To calculate the margin of error (ME) for the proportion of students who said they would benefit from summer school, we can use the formula for the margin of error for a proportion:

\[ ME = z \times \sqrt{\frac{p(1-p)}{n}} \]

where:

  • \( z \) is the z-score (1.96 for a 95% confidence level),
  • \( p \) is the sample proportion,
  • \( n \) is the sample size.

First, we need to find the sample proportion \( p \):

\[ p = \frac{18}{75} = 0.24 \]

Now we can plug in the values into the margin of error formula:

  1. Calculate \( p(1 - p) \):

\[ p(1 - p) = 0.24 \times (1 - 0.24) = 0.24 \times 0.76 = 0.1824 \]

  1. Calculate \( \frac{p(1-p)}{n} \):

\[ \frac{p(1-p)}{n} = \frac{0.1824}{75} \approx 0.002432 \]

  1. Take the square root:

\[ \sqrt{\frac{p(1-p)}{n}} \approx \sqrt{0.002432} \approx 0.04932 \]

  1. Multiply by the z-score:

\[ ME = 1.96 \times 0.04932 \approx 0.0967 \]

To convert this to a percentage, we multiply by 100:

\[ ME \approx 0.0967 \times 100 \approx 9.67% \approx 10% \]

So, the margin of error is approximately 10%.

The correct response is 10%.