A city ballot includes a local initiative that would legalize gambling. The issue is hotly contested, and two groups decide Co conduct polls to predict the outcome. The local newspaper finds that 46% of 1450 randomly selected voters plan to wote "yes," while a college Statistics class finds 45% of 200 randomly selected voters in support. Both groups will create 95% confidence intervals. Assume that all voters know how they intend to vote and that the initiative requires a majority vote to pass. Complete parts a through c below. ... a) Without finding the confidence intervals, explain which one will have the larger margin of error. The Statistics class will have the larger margin of error, at least mainly because it has a much smaller sample size. b) Find both confidence intervals. The confidence interval for the local newspaper is (43.4%, 48.6%). (Round to one decimal place as needed.) The confidence interval for the college Statistics class (38.1 %, 51.9%). (Round to one decimal place as needed.) c) Which group concludes that the outcome is too close to call? Why? group(s) that the outcome is too close to call, since the interval(s) obtained by this/these tre -0

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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**Analysis of Confidence Intervals in Polling**

**Context:**
A city ballot includes a local initiative that would legalize gambling. This issue is under debate, and two different groups conduct polls to predict the outcome. The local newspaper finds that 46% of 1450 randomly selected voters plan to vote "yes." In contrast, a college Statistics class finds 45% of 200 randomly selected voters in favor. Both groups aim to create 95% confidence intervals. It is assumed that all voters know how they intend to vote and that a majority vote is needed for the initiative to pass.

**Tasks:**

**a) Margin of Error Comparison:**
Without calculating, it is noted that the Statistics class will have a larger margin of error due to the smaller sample size.

**b) Confidence Interval Calculation:**

- The confidence interval for the local newspaper is calculated as (43.4%, 48.6%).
- The confidence interval for the college Statistics class is calculated as (38.1%, 51.9%).

These intervals are rounded to one decimal place as needed.

**c) Conclusion on Results:**
The confidence interval obtained by the Statistics class suggests that the outcome is too close to call, given its wider range that crosses the 50% threshold. Thus, the group concludes the results are inconclusive regarding the majority requirement for passage.

This exercise demonstrates how sample size affects the margin of error and the resulting confidence in predicting election outcomes.
Transcribed Image Text:**Analysis of Confidence Intervals in Polling** **Context:** A city ballot includes a local initiative that would legalize gambling. This issue is under debate, and two different groups conduct polls to predict the outcome. The local newspaper finds that 46% of 1450 randomly selected voters plan to vote "yes." In contrast, a college Statistics class finds 45% of 200 randomly selected voters in favor. Both groups aim to create 95% confidence intervals. It is assumed that all voters know how they intend to vote and that a majority vote is needed for the initiative to pass. **Tasks:** **a) Margin of Error Comparison:** Without calculating, it is noted that the Statistics class will have a larger margin of error due to the smaller sample size. **b) Confidence Interval Calculation:** - The confidence interval for the local newspaper is calculated as (43.4%, 48.6%). - The confidence interval for the college Statistics class is calculated as (38.1%, 51.9%). These intervals are rounded to one decimal place as needed. **c) Conclusion on Results:** The confidence interval obtained by the Statistics class suggests that the outcome is too close to call, given its wider range that crosses the 50% threshold. Thus, the group concludes the results are inconclusive regarding the majority requirement for passage. This exercise demonstrates how sample size affects the margin of error and the resulting confidence in predicting election outcomes.
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