To test the claim about the percentage of residents who favor annexation, we need to set up the null hypothesis ($H_0$) and the alternative hypothesis ($H_a$).

Hypotheses:

1. Null Hypothesis ($H_0$): The percentage of residents who favor annexation is equal to 71%.
   $H_0: p = 0.71$

2. Alternative Hypothesis ($H_a$): The percentage of residents who favor annexation is greater than 71%.
   $H_a: p > 0.71$

Explanation:

• The null hypothesis represents the status quo or no effect—in this case, that the proportion of residents favoring annexation is 71%.
• The alternative hypothesis represents the claim or research question we are testing—that the proportion is greater than 71%.
• This is a one-tailed test because the strategist is specifically testing for an increase (greater than 71%).

Do you want to proceed with calculating the test statistic and p-value? Let me know!

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Here are 5 related questions to expand your understanding:

1. What is the significance level ($\alpha$) for this test?
2. How is the test statistic calculated for a proportion hypothesis test?
3. What is the critical value for a one-tailed test at a common significance level (e.g., 0.05)?
4. How does sample size affect the hypothesis test in this scenario?
5. What would the conclusion be if the p-value is less than $\alpha$?

Tip: Always ensure your alternative hypothesis aligns with the