When a-0.10 , n=22, and H:u

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**Using the Student's t Distribution Table for Critical Values**

**Objective:**
To find the critical value or values for the given values of the significance level \(\alpha\), sample size \(n\), and alternate hypothesis \(H_1\).

**Step-by-Step Solution:**

---

**Part 1 of 4: [Content Redacted]**

---

**Part 2 of 4:**

Given:

- Significance level (\(\alpha\)) = 0.10
- Sample size (\(n\)) = 22
- Alternate hypothesis (\(H_1\)): \(\mu < \mu_0\)

To find the critical t-value:

Locate the corresponding t-value from the Student's t Distribution Table.

- Calculated t-value: \( t = -1.323 \)

A progress bar showing the current completion status of the task is:

- Part 1/4 is 25% complete.

This basic indication assists users in tracking their progress through the parts of the task.

---

**How to Read Critical t-Values:**

For further details on extracting t-values from the table, you may follow these steps:

1. Determine degrees of freedom (df). For sample size (\(n\)) = 22, degrees of freedom (df) = (\(n - 1\)) = 21.
2. Identify the appropriate significance level (\(\alpha\)) for a one-tailed test since \( H_1 \) specifies direction (\(\mu < \mu_0\)).
3. Use the Student's t Distribution Table to find the corresponding t-value by matching df=21 and \(\alpha = 0.10\).

By completing these steps, we understand the statistical significance and the critical points related to our hypothesis testing.

**Additional Notes:**

Use this guide to interpret values and ensure accurate application in hypothesis testing scenarios. For complex cases, reference textbooks or consult tutorials for detailed methodologies.
Transcribed Image Text:**Using the Student's t Distribution Table for Critical Values** **Objective:** To find the critical value or values for the given values of the significance level \(\alpha\), sample size \(n\), and alternate hypothesis \(H_1\). **Step-by-Step Solution:** --- **Part 1 of 4: [Content Redacted]** --- **Part 2 of 4:** Given: - Significance level (\(\alpha\)) = 0.10 - Sample size (\(n\)) = 22 - Alternate hypothesis (\(H_1\)): \(\mu < \mu_0\) To find the critical t-value: Locate the corresponding t-value from the Student's t Distribution Table. - Calculated t-value: \( t = -1.323 \) A progress bar showing the current completion status of the task is: - Part 1/4 is 25% complete. This basic indication assists users in tracking their progress through the parts of the task. --- **How to Read Critical t-Values:** For further details on extracting t-values from the table, you may follow these steps: 1. Determine degrees of freedom (df). For sample size (\(n\)) = 22, degrees of freedom (df) = (\(n - 1\)) = 21. 2. Identify the appropriate significance level (\(\alpha\)) for a one-tailed test since \( H_1 \) specifies direction (\(\mu < \mu_0\)). 3. Use the Student's t Distribution Table to find the corresponding t-value by matching df=21 and \(\alpha = 0.10\). By completing these steps, we understand the statistical significance and the critical points related to our hypothesis testing. **Additional Notes:** Use this guide to interpret values and ensure accurate application in hypothesis testing scenarios. For complex cases, reference textbooks or consult tutorials for detailed methodologies.
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