Questions: Suppose another group collects a sample of 48 turtles and finds 24 of them are female. They simulate 30 samples of 48 turtles with a 0.5 probability of each being female and find the mean proportion to be 0.517 . What would be a reasonable estimate for the margin of error? 0.27 0.068 0.034 0.259

Suppose another group collects a sample of 48 turtles and finds 24 of them are female. They simulate 30 samples of 48 turtles with a 0.5 probability of each being female and find the mean proportion to be 0.517 . What would be a reasonable estimate for the margin of error?
0.27
0.068
0.034
0.259
Transcript text: Suppose another group collects a sample of 48 turtles and finds 24 of them are female. They simulate 30 samples of 48 turtles with a 0.5 probability of each being female and find the mean proportion to be 0.517 . What would be a reasonable estimate for the margin of error? 0.27 0.068 0.034 0.259
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Solution

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Solution Steps

Step 1: Calculate the Standard Deviation

To estimate the margin of error, we first calculate the standard deviation of the sample proportion. The formula for the standard deviation \( \sigma \) of a proportion is given by:

\[ \sigma = \sqrt{\frac{p(1-p)}{n}} \]

where:

  • \( p = 0.517 \) (sample proportion)
  • \( n = 48 \) (sample size)

Substituting the values:

\[ \sigma = \sqrt{\frac{0.517(1-0.517)}{48}} = \sqrt{\frac{0.517 \times 0.483}{48}} \approx 0.0721 \]

Step 2: Determine the Z-Score

For a 95% confidence level, the Z-score \( Z \) is approximately:

\[ Z = 1.96 \]

Step 3: Calculate the Margin of Error

The margin of error \( E \) can be calculated using the formula:

\[ E = \frac{Z \times \sigma}{\sqrt{n}} \]

Substituting the values we have:

\[ E = \frac{1.96 \times 0.0721}{\sqrt{48}} \approx 0.0204 \]

Final Answer

The estimated margin of error is:

\[ \boxed{0.0204} \]

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