find the margin of error for the sample proportion, given a sample size of n=1400. Round to the nearest percent.

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Math assistance needed.

To find the margin of error for the sample proportion, you need to use the formula:

Margin of Error = Z * sqrt((p * (1 - p)) / n),

where:
Z is the z-score corresponding to the desired level of confidence,
p is the estimated proportion,
n is the sample size.

Since you have not provided the estimated proportion or the desired level of confidence, I will assume a 95% confidence level, which is commonly used.

For a 95% confidence level, the z-score is approximately 1.96.

If you do not have an estimated proportion, you can assume a value of 0.5, which provides the maximum margin of error.

Plugging these values into the formula, we get:

Margin of Error = 1.96 * sqrt((0.5 * (1 - 0.5)) / 1400).

Calculating this expression, we find:

Margin of Error ≈ 1.96 * sqrt(0.25 / 1400) ≈ 1.96 * sqrt(0.00017857142) ≈ 1.96 * 0.0133630292 ≈ 0.0261444.

To round this to the nearest percent, we multiply by 100 and round to two decimal places:

Margin of Error ≈ 0.0261444 * 100 ≈ 2.61%.

Therefore, the margin of error for the sample proportion, rounded to the nearest percent, is approximately 2.61%.