You wish to test the following claim (Ha) at a significance level of a = 0.005. Ho : μ = 89.6 Ha : μ < 89.6 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n = 64 with a mean of M = 86.2 and a standard deviation of SD = 6.7. What is the critical value for this test? (Report answer accurate to three decimal places.) critical value= What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = The test statistic is... O in the critical region not in the critical region

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### Hypothesis Testing for Population Mean

You wish to test the following claim (Hypothesis \( H_a \)) at a significance level of \(\alpha = 0.005\):

\[ H_0 : \mu = 89.6 \]
\[ H_a : \mu < 89.6 \]

You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \( n = 64 \) with a mean of \( M = 86.2 \) and a standard deviation of \( SD = 6.7 \).

### Steps for Hypothesis Testing

1. **Determine the critical value for the test:**
   
   What is the critical value for this test? (Report answer accurate to three decimal places.)
   \[ \text{critical value} = \_\_\_\_\_\_\_ \]

2. **Calculate the test statistic:**
   
   What is the test statistic for this sample? (Report answer accurate to three decimal places.)
   \[ \text{test statistic} = \_\_\_\_\_\_\_ \]

3. **Decision Rule:**
   
   Determine if the test statistic is in the critical region.
   - \(\circ\) in the critical region
   - \(\circ\) not in the critical region

### Explanation

- **Null Hypothesis (H0):** The population mean (\(\mu\)) is 89.6.
- **Alternative Hypothesis (Ha):** The population mean (\(\mu\)) is less than 89.6.
- **Sample Information:**
  - *Sample size (n):* 64
  - *Sample mean (M):* 86.2
  - *Sample standard deviation (SD):* 6.7
- **Significance Level (\(\alpha\)):** 0.005

To complete this test, you will need to determine the appropriate critical value for a one-tailed test with the given significance level, calculate the test statistic using the sample data, and then compare the test statistic to the critical value to make a decision on the null hypothesis.
Transcribed Image Text:### Hypothesis Testing for Population Mean You wish to test the following claim (Hypothesis \( H_a \)) at a significance level of \(\alpha = 0.005\): \[ H_0 : \mu = 89.6 \] \[ H_a : \mu < 89.6 \] You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \( n = 64 \) with a mean of \( M = 86.2 \) and a standard deviation of \( SD = 6.7 \). ### Steps for Hypothesis Testing 1. **Determine the critical value for the test:** What is the critical value for this test? (Report answer accurate to three decimal places.) \[ \text{critical value} = \_\_\_\_\_\_\_ \] 2. **Calculate the test statistic:** What is the test statistic for this sample? (Report answer accurate to three decimal places.) \[ \text{test statistic} = \_\_\_\_\_\_\_ \] 3. **Decision Rule:** Determine if the test statistic is in the critical region. - \(\circ\) in the critical region - \(\circ\) not in the critical region ### Explanation - **Null Hypothesis (H0):** The population mean (\(\mu\)) is 89.6. - **Alternative Hypothesis (Ha):** The population mean (\(\mu\)) is less than 89.6. - **Sample Information:** - *Sample size (n):* 64 - *Sample mean (M):* 86.2 - *Sample standard deviation (SD):* 6.7 - **Significance Level (\(\alpha\)):** 0.005 To complete this test, you will need to determine the appropriate critical value for a one-tailed test with the given significance level, calculate the test statistic using the sample data, and then compare the test statistic to the critical value to make a decision on the null hypothesis.
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