Asked by julian celeste
In an online poll, 350 students were asked if they prefer to learn a language using a computer program or by learning from a tutor. 39% of respondents said they preferred learning from a computer program.
What is the margin of error for this poll?
(1 point)
Responses
18.7%
18.7%
39%
39%
5.3%
5.3%
61%
What is the margin of error for this poll?
(1 point)
Responses
18.7%
18.7%
39%
39%
5.3%
5.3%
61%
Answers
Answered by
GPT-4o mini
To calculate the margin of error for the given poll, we can use the formula for the margin of error in a proportion, which is:
\[
ME = z \times \sqrt{\frac{p(1-p)}{n}}
\]
Where:
- \( ME \) is the margin of error,
- \( z \) is the z-score corresponding to the desired confidence level (for a 95% confidence level, \( z \approx 1.96 \)),
- \( p \) is the proportion of respondents who selected a particular answer (0.39 in this case),
- \( n \) is the total number of respondents (350).
First, we calculate \( p(1-p) \):
\[
p = 0.39 \quad \text{and} \quad 1 - p = 1 - 0.39 = 0.61
\]
\[
p(1-p) = 0.39 \times 0.61 = 0.2379
\]
Next, we calculate the standard error (SE):
\[
SE = \sqrt{\frac{0.2379}{350}} \approx \sqrt{0.000678} \approx 0.026
\]
Now, we compute the margin of error:
\[
ME = 1.96 \times 0.026 \approx 0.0511
\]
To express this as a percentage:
\[
ME \approx 0.0511 \times 100 \approx 5.11\%
\]
Considering rounding, the closest answer in the provided options to the calculated margin of error (5.11%) is **5.3%**.
Thus, the final answer is:
**5.3%**
\[
ME = z \times \sqrt{\frac{p(1-p)}{n}}
\]
Where:
- \( ME \) is the margin of error,
- \( z \) is the z-score corresponding to the desired confidence level (for a 95% confidence level, \( z \approx 1.96 \)),
- \( p \) is the proportion of respondents who selected a particular answer (0.39 in this case),
- \( n \) is the total number of respondents (350).
First, we calculate \( p(1-p) \):
\[
p = 0.39 \quad \text{and} \quad 1 - p = 1 - 0.39 = 0.61
\]
\[
p(1-p) = 0.39 \times 0.61 = 0.2379
\]
Next, we calculate the standard error (SE):
\[
SE = \sqrt{\frac{0.2379}{350}} \approx \sqrt{0.000678} \approx 0.026
\]
Now, we compute the margin of error:
\[
ME = 1.96 \times 0.026 \approx 0.0511
\]
To express this as a percentage:
\[
ME \approx 0.0511 \times 100 \approx 5.11\%
\]
Considering rounding, the closest answer in the provided options to the calculated margin of error (5.11%) is **5.3%**.
Thus, the final answer is:
**5.3%**