You are conducting a study to see if the proportion of voters who prefer Candidate A is significantly more than 0.64. You use a significance level of a = 0.002. Ho:p = 0.64 H1:p > 0.64 You obtain a sample of size n = 543 in which there are 368 successes,

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**Hypothesis Test for a Population Proportion**

You are conducting a study to see if the proportion of voters who prefer Candidate A is significantly more than 0.64. You use a significance level of \(\alpha = 0.002\).

**Null Hypothesis ( \(H_0\) ):** \( p = 0.64 \)

**Alternative Hypothesis ( \(H_1\) ):** \( p > 0.64 \)

You obtain a sample of size \( n = 543 \) in which there are 368 successes.

**Questions:**

1. **What is the test statistic for this sample? (Report answer accurate to three decimal places.)**

   Test statistic = [ ]

2. **What is the p-value for this sample? (Report answer accurate to four decimal places.)**

   p-value = [ ]

**Determine the p-value:**

- \( \bigcirc \) less than (or equal to) \(\alpha\) 
- \( \bigcirc \) greater than \(\alpha\)

**Decision based on the test statistic:**

- \( \bigcirc \) reject the null
- \( \bigcirc \) accept the null
- \( \bigcirc \) fail to reject the null

**Final Conclusion:**

- \( \bigcirc \) There is sufficient evidence to warrant rejection of the claim that the proportion of voters who prefer Candidate A is more than 0.64.

- \( \bigcirc \) There is not sufficient evidence to warrant rejection of the claim that the proportion of voters who prefer Candidate A is more than 0.64.

- \( \bigcirc \) The sample data support the claim that the proportion of voters who prefer Candidate A is more than 0.64.

- \( \bigcirc \) There is not sufficient sample evidence to support the claim that the proportion of voters who prefer Candidate A is more than 0.64.
Transcribed Image Text:**Hypothesis Test for a Population Proportion** You are conducting a study to see if the proportion of voters who prefer Candidate A is significantly more than 0.64. You use a significance level of \(\alpha = 0.002\). **Null Hypothesis ( \(H_0\) ):** \( p = 0.64 \) **Alternative Hypothesis ( \(H_1\) ):** \( p > 0.64 \) You obtain a sample of size \( n = 543 \) in which there are 368 successes. **Questions:** 1. **What is the test statistic for this sample? (Report answer accurate to three decimal places.)** Test statistic = [ ] 2. **What is the p-value for this sample? (Report answer accurate to four decimal places.)** p-value = [ ] **Determine the p-value:** - \( \bigcirc \) less than (or equal to) \(\alpha\) - \( \bigcirc \) greater than \(\alpha\) **Decision based on the test statistic:** - \( \bigcirc \) reject the null - \( \bigcirc \) accept the null - \( \bigcirc \) fail to reject the null **Final Conclusion:** - \( \bigcirc \) There is sufficient evidence to warrant rejection of the claim that the proportion of voters who prefer Candidate A is more than 0.64. - \( \bigcirc \) There is not sufficient evidence to warrant rejection of the claim that the proportion of voters who prefer Candidate A is more than 0.64. - \( \bigcirc \) The sample data support the claim that the proportion of voters who prefer Candidate A is more than 0.64. - \( \bigcirc \) There is not sufficient sample evidence to support the claim that the proportion of voters who prefer Candidate A is more than 0.64.
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