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
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
MATLAB: An Introduction with Applications
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa218d9b0-33cd-49fb-8966-615774819802%2F42da3a5e-15ac-48fb-8be7-3fd009e211f0%2Fp9iwy7r_processed.png&w=3840&q=75)
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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