i) Test the claim of u> 2015 and use c=.90. Provide a sketch of the Critical Value. Evaluate the Test Statistic and provide the p-value. Only for this part use o = 23.8
i) Test the claim of u> 2015 and use c=.90. Provide a sketch of the Critical Value. Evaluate the Test Statistic and provide the p-value. Only for this part use o = 23.8
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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![### Statistical Hypothesis Testing
**Problem Statement:**
i) Test the claim of \( \mu > 2015 \) and use \( \alpha = 0.10 \). Provide a sketch of the Critical Value. Evaluate the Test Statistic and provide the p-value. Only for this part, use \( \sigma = 23.8 \).
**Solution Guide:**
1. **Set up the Hypothesis:**
- Null Hypothesis (\( H_0 \)): \( \mu \leq 2015 \)
- Alternative Hypothesis (\( H_a \)): \( \mu > 2015 \)
2. **Determine the Critical Value:**
- Since the test is right-tailed, use a significance level (\( \alpha \)) of 0.10.
- Find the critical value from the standard normal distribution table corresponding to \( \alpha = 0.10 \).
3. **Calculate the Test Statistic:**
- Use the formula for the z-test statistic:
\[
z = \frac{\bar{x} - \mu}{\sigma/\sqrt{n}}
\]
- Plug in the known values to find the z-value.
4. **P-Value and Decision:**
- Use the standard normal distribution to find the p-value.
- Compare the p-value to the significance level (\( \alpha \)).
5. **Sketch of Critical Value:**
- Diagram illustrating the normal distribution curve.
- Highlight the critical region on the far right-hand side representing 10% of the area under the curve.
**Conclusion:**
Based on the calculated test statistic and p-value, determine if there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis.
**Note:** Detailed steps with numerical calculations should be carried out with specific data values if provided.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F31273fa4-0ef0-4537-a09e-f2fe1ffff523%2F0846086d-7dc6-4d30-be1a-3e0a619370eb%2Ffy6f00t_processed.png&w=3840&q=75)
Transcribed Image Text:### Statistical Hypothesis Testing
**Problem Statement:**
i) Test the claim of \( \mu > 2015 \) and use \( \alpha = 0.10 \). Provide a sketch of the Critical Value. Evaluate the Test Statistic and provide the p-value. Only for this part, use \( \sigma = 23.8 \).
**Solution Guide:**
1. **Set up the Hypothesis:**
- Null Hypothesis (\( H_0 \)): \( \mu \leq 2015 \)
- Alternative Hypothesis (\( H_a \)): \( \mu > 2015 \)
2. **Determine the Critical Value:**
- Since the test is right-tailed, use a significance level (\( \alpha \)) of 0.10.
- Find the critical value from the standard normal distribution table corresponding to \( \alpha = 0.10 \).
3. **Calculate the Test Statistic:**
- Use the formula for the z-test statistic:
\[
z = \frac{\bar{x} - \mu}{\sigma/\sqrt{n}}
\]
- Plug in the known values to find the z-value.
4. **P-Value and Decision:**
- Use the standard normal distribution to find the p-value.
- Compare the p-value to the significance level (\( \alpha \)).
5. **Sketch of Critical Value:**
- Diagram illustrating the normal distribution curve.
- Highlight the critical region on the far right-hand side representing 10% of the area under the curve.
**Conclusion:**
Based on the calculated test statistic and p-value, determine if there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis.
**Note:** Detailed steps with numerical calculations should be carried out with specific data values if provided.
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Transcribed Image Text:Use the following data set: 40, 33, 77, 12, 23, 56, 23, 19, 29 (minutes). Assume the data is approximately bell-shaped and a sample.
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