You are conducting a study to see if the proportion of voters who prefer Candidate A is significantly more than 0.16. You use a significance level of a = 0.01. Ho:p = 0.16 H1:p > 0.16 You obtain a sample of size n 621 in which there are 104 successes. %3D

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### Hypothesis Testing for Proportion of Voters Preferring Candidate A

**Problem Statement:**
You are conducting a study to determine if the proportion of voters who prefer Candidate A is significantly more than 0.16. You are using a significance level of \(\alpha = 0.01\).

**Hypotheses:**
- \(H_0\): \(p = 0.16\)
- \(H_1\): \(p > 0.16\)

**Sample Data:**
- Sample size (\(n\)) = 621
- Number of successes (voters preferring Candidate A) = 104

**Tasks:**

1. **Calculate the Test Statistic:**
   - Formula for the test statistic (z) for proportions:
     \[
     z = \frac{\hat{p} - p_0}{\sqrt{\frac{p_0(1 - p_0)}{n}}}
     \]
   - Where:
     - \(\hat{p}\) = sample proportion = \(\frac{104}{621}\)
     - \(p_0\) = hypothesized population proportion = 0.16

   - Substitute in the appropriate values and calculate the test statistic. Report the answer accurate to three decimal places.

2. **Determine the p-value:**
   - The p-value is the probability that the observed sample proportion would be as extreme or more extreme than what was observed, given that the null hypothesis is true.
   - Use standard normal distribution tables or software to find the p-value corresponding to the calculated test statistic.
   - Report the p-value accurate to four decimal places.

3. **Comparison with Significance Level (\(\alpha\)):**
   - The p-value is either:
     - less than (or equal to) \(\alpha\)
     - greater than \(\alpha\)

4. **Decision on Null Hypothesis:**
   - Based on the p-value and the significance level (\(\alpha\)), decide whether to:
     - reject the null hypothesis
     - accept the null hypothesis
     - fail to reject the null hypothesis

5. **Final Conclusion:**
   - Analyze the context and make a conclusion regarding the claim. Possible conclusions:
     - There is sufficient evidence to warrant rejection of the claim that the proportion of voters who prefer Candidate A is more than 0.16.
     - There is not sufficient evidence to warrant
Transcribed Image Text:### Hypothesis Testing for Proportion of Voters Preferring Candidate A **Problem Statement:** You are conducting a study to determine if the proportion of voters who prefer Candidate A is significantly more than 0.16. You are using a significance level of \(\alpha = 0.01\). **Hypotheses:** - \(H_0\): \(p = 0.16\) - \(H_1\): \(p > 0.16\) **Sample Data:** - Sample size (\(n\)) = 621 - Number of successes (voters preferring Candidate A) = 104 **Tasks:** 1. **Calculate the Test Statistic:** - Formula for the test statistic (z) for proportions: \[ z = \frac{\hat{p} - p_0}{\sqrt{\frac{p_0(1 - p_0)}{n}}} \] - Where: - \(\hat{p}\) = sample proportion = \(\frac{104}{621}\) - \(p_0\) = hypothesized population proportion = 0.16 - Substitute in the appropriate values and calculate the test statistic. Report the answer accurate to three decimal places. 2. **Determine the p-value:** - The p-value is the probability that the observed sample proportion would be as extreme or more extreme than what was observed, given that the null hypothesis is true. - Use standard normal distribution tables or software to find the p-value corresponding to the calculated test statistic. - Report the p-value accurate to four decimal places. 3. **Comparison with Significance Level (\(\alpha\)):** - The p-value is either: - less than (or equal to) \(\alpha\) - greater than \(\alpha\) 4. **Decision on Null Hypothesis:** - Based on the p-value and the significance level (\(\alpha\)), decide whether to: - reject the null hypothesis - accept the null hypothesis - fail to reject the null hypothesis 5. **Final Conclusion:** - Analyze the context and make a conclusion regarding the claim. Possible conclusions: - There is sufficient evidence to warrant rejection of the claim that the proportion of voters who prefer Candidate A is more than 0.16. - There is not sufficient evidence to warrant
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