10. Basic Computation: Testing µ, ☛ Unknown A random sample has 49 values. The sample mean is 8.5 and the sample standard deviation is 1.5. Use a level of significance of 0.01 to conduct a left-tailed test of the claim that the population mean is 9.2. (a) Check Requirements Is it appropriate to use a Student's t distribution? Explain. How many degrees of freedom do we use? (b) What are the hypotheses? (c) Compute the value of the sample test statistic. (d) Estimate the P-value for the test. (e) Do we reject or fail to reject H? (f) Interpret the results.

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Please answer number 10. All parts!! Make sure to show work!! Thanks!
### Basic Computation: Testing μ, σ Unknown

A random sample has 49 values. The sample mean is 8.5 and the sample standard deviation is 1.5. Use a level of significance of 0.01 to conduct a left-tailed test of the claim that the population mean is 9.2.

1. **Check Requirements**
   - Is it appropriate to use a Student’s t distribution? Explain.
   - How many degrees of freedom do we use?

2. **Hypotheses**
   - State the null hypothesis, \( H_0 \), and the alternative hypothesis, \( H_a \).

3. **t Value Calculation**
   - Compute the t value of the sample test statistic.

4. **P-Value Estimation**
   - Estimate the P-value for the test.

5. **Decision Making**
   - Do we reject or fail to reject \( H_0 \)?

6. **Interpretation**
   - Interpret the results.

### Steps for Solving the Problem

**(a) Check Requirements**

- **Appropriateness of Student’s t distribution**: Explain the conditions required to use the Student’s t distribution.
- **Degrees of freedom**: Calculate and state the degrees of freedom based on the sample size.

**(b) What Are the Hypotheses?**

- **Null Hypothesis (\( H_0 \))**: The population mean is 9.2.
- **Alternative Hypothesis (\( H_a \))**: The population mean is less than 9.2.

**(c) Compute the t Value**

- **Formula**: Use the formula for the t-test statistic, based on sample mean, population mean, sample standard deviation, and sample size.
  
  \[
  t = \frac{\bar{x} - \mu}{s / \sqrt{n}}
  \]

**(d) Estimate the P-value**

- **P-value**: Determine the probability of obtaining a test statistic at least as extreme as the one observed, under the assumption that the null hypothesis is true.

**(e) Decision**

- **Reject or Fail to Reject \( H_0 \)**: Compare the P-value with the significance level to make a decision. If the P-value is less than 0.01, reject \( H_0 \).

**(f) Interpret the Results**
  
- **Conclusion**: Based on the decision in part (
Transcribed Image Text:### Basic Computation: Testing μ, σ Unknown A random sample has 49 values. The sample mean is 8.5 and the sample standard deviation is 1.5. Use a level of significance of 0.01 to conduct a left-tailed test of the claim that the population mean is 9.2. 1. **Check Requirements** - Is it appropriate to use a Student’s t distribution? Explain. - How many degrees of freedom do we use? 2. **Hypotheses** - State the null hypothesis, \( H_0 \), and the alternative hypothesis, \( H_a \). 3. **t Value Calculation** - Compute the t value of the sample test statistic. 4. **P-Value Estimation** - Estimate the P-value for the test. 5. **Decision Making** - Do we reject or fail to reject \( H_0 \)? 6. **Interpretation** - Interpret the results. ### Steps for Solving the Problem **(a) Check Requirements** - **Appropriateness of Student’s t distribution**: Explain the conditions required to use the Student’s t distribution. - **Degrees of freedom**: Calculate and state the degrees of freedom based on the sample size. **(b) What Are the Hypotheses?** - **Null Hypothesis (\( H_0 \))**: The population mean is 9.2. - **Alternative Hypothesis (\( H_a \))**: The population mean is less than 9.2. **(c) Compute the t Value** - **Formula**: Use the formula for the t-test statistic, based on sample mean, population mean, sample standard deviation, and sample size. \[ t = \frac{\bar{x} - \mu}{s / \sqrt{n}} \] **(d) Estimate the P-value** - **P-value**: Determine the probability of obtaining a test statistic at least as extreme as the one observed, under the assumption that the null hypothesis is true. **(e) Decision** - **Reject or Fail to Reject \( H_0 \)**: Compare the P-value with the significance level to make a decision. If the P-value is less than 0.01, reject \( H_0 \). **(f) Interpret the Results** - **Conclusion**: Based on the decision in part (
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