Question
In a pool 450 people are surveyed about their preferred political candidate 12% of respondents say they support candidate a what is the margin of error for this pole round to the nearest tenth of a percent
Answers
GPT-4o mini
To calculate the margin of error for a poll, we can use the formula for the margin of error (ME) in a proportion, which is:
\[
ME = z \times \sqrt{\frac{p(1-p)}{n}}
\]
Where:
- \( z \) is the z-score corresponding to the desired confidence level (typically 1.96 for a 95% confidence level),
- \( p \) is the proportion of respondents who support a candidate (in this case, 0.12 for candidate A),
- \( n \) is the total number of respondents (in this case, 450).
### Step 1: Determine variables
- \( p = 0.12 \)
- \( n = 450 \)
- \( z \) for a 95% confidence level = 1.96
### Step 2: Calculate the standard error (SE)
\[
SE = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.12 \times (1 - 0.12)}{450}} = \sqrt{\frac{0.12 \times 0.88}{450}}
\]
Calculating \( 0.12 \times 0.88 \):
\[
0.12 \times 0.88 = 0.1056
\]
Now substitute into the equation:
\[
SE = \sqrt{\frac{0.1056}{450}} = \sqrt{0.000235778} \approx 0.0154
\]
### Step 3: Calculate the margin of error (ME)
\[
ME = z \times SE = 1.96 \times 0.0154 \approx 0.0302
\]
### Step 4: Convert the margin of error to percentage
To convert the margin of error to a percentage, multiply by 100:
\[
ME \approx 0.0302 \times 100 = 3.02\%
\]
### Step 5: Round to the nearest tenth of a percent
Rounding 3.02% to the nearest tenth of a percent gives us **3.0%**.
Thus, the margin of error for this poll is approximately **3.0%**.
\[
ME = z \times \sqrt{\frac{p(1-p)}{n}}
\]
Where:
- \( z \) is the z-score corresponding to the desired confidence level (typically 1.96 for a 95% confidence level),
- \( p \) is the proportion of respondents who support a candidate (in this case, 0.12 for candidate A),
- \( n \) is the total number of respondents (in this case, 450).
### Step 1: Determine variables
- \( p = 0.12 \)
- \( n = 450 \)
- \( z \) for a 95% confidence level = 1.96
### Step 2: Calculate the standard error (SE)
\[
SE = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.12 \times (1 - 0.12)}{450}} = \sqrt{\frac{0.12 \times 0.88}{450}}
\]
Calculating \( 0.12 \times 0.88 \):
\[
0.12 \times 0.88 = 0.1056
\]
Now substitute into the equation:
\[
SE = \sqrt{\frac{0.1056}{450}} = \sqrt{0.000235778} \approx 0.0154
\]
### Step 3: Calculate the margin of error (ME)
\[
ME = z \times SE = 1.96 \times 0.0154 \approx 0.0302
\]
### Step 4: Convert the margin of error to percentage
To convert the margin of error to a percentage, multiply by 100:
\[
ME \approx 0.0302 \times 100 = 3.02\%
\]
### Step 5: Round to the nearest tenth of a percent
Rounding 3.02% to the nearest tenth of a percent gives us **3.0%**.
Thus, the margin of error for this poll is approximately **3.0%**.