Question 1 (Multiple Choice Worth 5 points) ( 04.05 MC ) A parks and recreational board in Birch County is interested in estimating the proportion of its residents in favor of having more public parks in that county. A random sample of Birch County residents was selected. All the selected residents were asked, "Are you in favor of having more public parks in your county?" A \( 98 \% \) confidence interval for the proportion of residents in favor of having more public parks in that county was calculated to be \( 0.54 \pm 0.03 \). Which of the following statements is correct? At the \( 98 \% \) confidence level, the majority of area residents is in favor of having more public parks in that county. At the \( 98 \% \) confidence level, the estimate of 0.54 is within 0.03 of the true proportion of county residents in favor of having more public parks in that county. In repeated sampling, the true proportion of county residents in favor of having more public parks in that county will fall in the interval ( \( 0.51,0.57 \) ). In repeated sampling, \( 98 \% \) of the time the true proportion of county residents in favor of having more public parks in that county will be equal to 0.54 . Question \( \mathbf{2} \) (Multiple Choice Worth 5 points)
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The term "confidence interval" can seem a bit daunting, but let's simplify it! A \( 98\% \) confidence interval means that if we were to take many samples and create intervals, approximately \( 98\% \) of them would contain the true population proportion. So, it's all about creating a range where we believe the actual proportion lies, based on our sample. When interpreting the results of a survey like the one conducted in Birch County, it’s important to understand what it truly reflects. The confidence interval of \( 0.54 \pm 0.03 \), or \( 0.51 \) to \( 0.57 \), suggests that we can be fairly confident that between \( 51\% \) and \( 57\% \) of residents support more parks. It's not just about what a particular sample says, but rather what it indicates about the larger population. This can help planners and decision-makers prioritize park development efficiently!