Questions: A researcher conducted a survey of Florida police departments and found that of the 18 departments sampled (N=18), there was a mean of 13.00 school resource officers (s=12.10). Construct a 95% confidence interval around the sample mean and interpret your results.

A researcher conducted a survey of Florida police departments and found that of the 18 departments sampled (N=18), there was a mean of 13.00 school resource officers (s=12.10). Construct a 95% confidence interval around the sample mean and interpret your results.
Transcript text: 27. A researcher conducted a survey of Florida police departments and found that of the 18 departments sampled ( $\mathrm{N}=18$ ), there was a mean of 13.00 school resource officers ( $\mathrm{s}=12.10$ ). Construct a $95 \%$ confidence interval around the sample mean and interpret your results. (4 points)
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Solution

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Solution Steps

Step 1: Given Data

The researcher conducted a survey of Florida police departments with the following statistics:

  • Sample size (\(N\)): 18
  • Sample mean (\(\bar{x}\)): 13.00
  • Sample standard deviation (\(s\)): 12.10
  • Confidence level: 95%
Step 2: Confidence Interval Calculation

To construct the 95% confidence interval for the mean, we use the formula:

\[ \bar{x} \pm t \frac{s}{\sqrt{n}} \]

Where:

  • \(\bar{x} = 13.00\)
  • \(t\) is the t-value for \(N-1 = 17\) degrees of freedom at a 95% confidence level, which is approximately 2.11.
  • \(s = 12.10\)
  • \(n = 18\)
Step 3: Margin of Error Calculation

The margin of error is calculated as follows:

\[ \text{Margin of Error} = t \cdot \frac{s}{\sqrt{n}} = 2.11 \cdot \frac{12.10}{\sqrt{18}} \approx 2.11 \cdot 2.85 \approx 6.00 \]

Step 4: Confidence Interval Result

Now, we can calculate the confidence interval:

\[ \text{Confidence Interval} = \left( \bar{x} - \text{Margin of Error}, \bar{x} + \text{Margin of Error} \right) = \left( 13.00 - 6.00, 13.00 + 6.00 \right) = (7.00, 19.00) \]

Final Answer

The 95% confidence interval for the mean number of school resource officers is:

\[ \boxed{(6.98, 19.02)} \]

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