Questions: After asking 7 randomly selected residents from her town whether or not they listen to country music, Lisa reports that 29 % of the residents from her town listen to country music based on her survey. Why is this statistic misleading? Select the correct answer below: The statistic results from a calculation error. The data contain one or more outliers. The sample size is insufficient. The sample is biased.

After asking 7 randomly selected residents from her town whether or not they listen to country music, Lisa reports that 29 % of the residents from her town listen to country music based on her survey. Why is this statistic misleading?

Select the correct answer below: The statistic results from a calculation error. The data contain one or more outliers. The sample size is insufficient. The sample is biased.
Transcript text: After asking 7 randomly selected residents from her town whether or not they listen to country music, Lisa reports that $29 \%$ of the residents from her town listen to country music based on her survey. Why is this statistic misleading? Select the correct answer below: The statistic results from a calculation error. The data contain one or more outliers. The sample size is insufficient. The sample is biased.
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Solution

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Solution Steps

Step 1: Calculate the Z-Score

To determine the required sample size for estimating the population proportion with a specified confidence level, we first calculate the Z-score corresponding to a confidence level of \( 0.95 \). The Z-score is given by:

\[ Z = \text{PPF}\left(1 - \frac{1 - 0.95}{2}\right) = \text{PPF}(0.975) = 1.96 \]

Step 2: Calculate the Required Sample Size

Using the Z-score, the population standard deviation \( \sigma = 0.5 \), and the desired margin of error \( E = 0.05 \), we can calculate the required sample size \( n \) using the formula:

\[ n = \left(\frac{Z \cdot \sigma}{E}\right)^2 \]

Substituting the values:

\[ n = \left(\frac{1.96 \cdot 0.5}{0.05}\right)^2 = (19.6)^2 = 384.16 \approx 385 \]

Step 3: Compare Sample Sizes

Lisa's sample size is \( n_L = 7 \). We compare this with the calculated required sample size:

\[ \text{Calculated Sample Size} = 385 \] \[ \text{Lisa's Sample Size} = 7 \]

Since \( 7 < 385 \), we conclude that Lisa's sample size is insufficient.

Final Answer

The statistic is misleading because the sample size is insufficient.

\(\boxed{\text{The sample size is insufficient.}}\)

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