Consider the following hypothesis test: Ho: μ < 12 Ha: μ > 12 A sample of 25 provided a sample mean = 14 and a sample standard deviation s = 4.32. a. Compute the value of the test statistic (to 2 decimals). b. Use the t distribution table (Table 2 in Appendix B) to compute a range for the p-value. The p-value is between 0.005 and 0.01 c. At a = 0.05, what is your conclusion? Reject null hypothesis d. What is the rejection rule using the critical value? (Use a = 0.05.) Reject Ho if t is less than or equal to ✓the critical value of Can you conclude that the population mean is greater than 12? No (to 3 decimals).
Consider the following hypothesis test: Ho: μ < 12 Ha: μ > 12 A sample of 25 provided a sample mean = 14 and a sample standard deviation s = 4.32. a. Compute the value of the test statistic (to 2 decimals). b. Use the t distribution table (Table 2 in Appendix B) to compute a range for the p-value. The p-value is between 0.005 and 0.01 c. At a = 0.05, what is your conclusion? Reject null hypothesis d. What is the rejection rule using the critical value? (Use a = 0.05.) Reject Ho if t is less than or equal to ✓the critical value of Can you conclude that the population mean is greater than 12? No (to 3 decimals).
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![### Hypothesis Testing Example
Consider the following hypothesis test:
- Null Hypothesis (\(H_0\)): \(\mu \leq 12\)
- Alternative Hypothesis (\(H_a\)): \(\mu > 12\)
**Sample Information:**
- Sample size (\(n\)): 25
- Sample mean (\(\bar{x}\)): 14
- Sample standard deviation (\(s\)): 4.32
**Steps:**
**a. Compute the value of the test statistic (to 2 decimals).**
[Value to be provided by the user]
**b. Use the t distribution table (Table 2 in Appendix B) to compute a range for the p-value.**
- The p-value is: **between 0.005 and 0.01** (selected from a dropdown menu)
**c. At \(\alpha = 0.05\), what is your conclusion?**
- Decision: **Reject null hypothesis** (selected from a dropdown menu)
**d. What is the rejection rule using the critical value? (Use \(\alpha = 0.05\).)**
- Reject \(H_0\) if \(t\) is **less than or equal to** the critical value of [Value to be provided by the user] (to 3 decimals).
**Conclusion:**
- Can you conclude that the population mean is greater than 12?
- **No** (selected from a dropdown menu)
This example demonstrates hypothesis testing, utilizing a t-test to determine if there is significant evidence to support the claim that the population mean is greater than 12. The decision-making is based on the calculated p-value and critical values in relation to the significance level \(\alpha\).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F375a8daa-a061-40df-aa13-f324a3b06fab%2F3c663be2-4a4a-431c-a763-b99157ce293e%2Flphkjpm3_processed.png&w=3840&q=75)
Transcribed Image Text:### Hypothesis Testing Example
Consider the following hypothesis test:
- Null Hypothesis (\(H_0\)): \(\mu \leq 12\)
- Alternative Hypothesis (\(H_a\)): \(\mu > 12\)
**Sample Information:**
- Sample size (\(n\)): 25
- Sample mean (\(\bar{x}\)): 14
- Sample standard deviation (\(s\)): 4.32
**Steps:**
**a. Compute the value of the test statistic (to 2 decimals).**
[Value to be provided by the user]
**b. Use the t distribution table (Table 2 in Appendix B) to compute a range for the p-value.**
- The p-value is: **between 0.005 and 0.01** (selected from a dropdown menu)
**c. At \(\alpha = 0.05\), what is your conclusion?**
- Decision: **Reject null hypothesis** (selected from a dropdown menu)
**d. What is the rejection rule using the critical value? (Use \(\alpha = 0.05\).)**
- Reject \(H_0\) if \(t\) is **less than or equal to** the critical value of [Value to be provided by the user] (to 3 decimals).
**Conclusion:**
- Can you conclude that the population mean is greater than 12?
- **No** (selected from a dropdown menu)
This example demonstrates hypothesis testing, utilizing a t-test to determine if there is significant evidence to support the claim that the population mean is greater than 12. The decision-making is based on the calculated p-value and critical values in relation to the significance level \(\alpha\).
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