Refer to the accompanying data display that results from a sample of airport data speeds in Mbps. Complete parts (a) through (c) below. Click the icon to view at distribution table. a. What is the number of degrees of freedom that should be used for finding the critical value ta/2? df= (Type a whole number.) b. Find the critical value ta/2 corresponding to a 95% confidence level. Tinterval (13.046,22.15) x= 17.598 Sx = 16.01712719 n = 50

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### Transcription and Explanation for Educational Website:

**Title:** Understanding Degrees of Freedom and Critical Values in Airport Data Speeds Analysis

This educational content explores a statistical analysis of airport data speeds measured in Mbps. The purpose is to understand how to calculate degrees of freedom and find critical values for a given confidence level.

---

**Dataset Summary:**
- **Confidence Interval:** (13.046, 22.15)
- **Mean (\(\bar{x}\)):** 17.598
- **Standard Deviation (Sx):** 16.01712719
- **Sample Size (n):** 50

---

**Tasks:**

**a. Calculating Degrees of Freedom (df):**

- **Question:** What is the number of degrees of freedom that should be used for finding the critical value \(t_{\alpha/2}\)?

- **Answer Input:** df = [ ]  
  *(Type a whole number.)*

**b. Finding the Critical Value:**

- **Question:** Find the critical value \(t_{\alpha/2}\) corresponding to a 95% confidence level.

- **Answer Input:** \(t_{\alpha/2}\) = [ ]  
  *(Round to two decimal places as needed.)*

**c. Understanding Degrees of Freedom:**

- **Question:** Give a brief general description of the number of degrees of freedom.

  **Options:**

  - **A.** The number of degrees of freedom for a collection of sample data is the number of unique, non-repeated sample values.

  - **B.** The number of degrees of freedom for a collection of sample data is the total number of sample values.

  - **C.** The number of degrees of freedom for a collection of sample data is the number of sample values that are determined after certain restrictions have been imposed on all data values.

  - **D.** The number of degrees of freedom for a collection of sample data is the number of sample values that can vary after certain restrictions have been imposed on all data values.

---

This instructional module aims to provide students with a clear understanding of statistical concepts essential for data analysis, such as degrees of freedom and critical values within confidence intervals.
Transcribed Image Text:### Transcription and Explanation for Educational Website: **Title:** Understanding Degrees of Freedom and Critical Values in Airport Data Speeds Analysis This educational content explores a statistical analysis of airport data speeds measured in Mbps. The purpose is to understand how to calculate degrees of freedom and find critical values for a given confidence level. --- **Dataset Summary:** - **Confidence Interval:** (13.046, 22.15) - **Mean (\(\bar{x}\)):** 17.598 - **Standard Deviation (Sx):** 16.01712719 - **Sample Size (n):** 50 --- **Tasks:** **a. Calculating Degrees of Freedom (df):** - **Question:** What is the number of degrees of freedom that should be used for finding the critical value \(t_{\alpha/2}\)? - **Answer Input:** df = [ ] *(Type a whole number.)* **b. Finding the Critical Value:** - **Question:** Find the critical value \(t_{\alpha/2}\) corresponding to a 95% confidence level. - **Answer Input:** \(t_{\alpha/2}\) = [ ] *(Round to two decimal places as needed.)* **c. Understanding Degrees of Freedom:** - **Question:** Give a brief general description of the number of degrees of freedom. **Options:** - **A.** The number of degrees of freedom for a collection of sample data is the number of unique, non-repeated sample values. - **B.** The number of degrees of freedom for a collection of sample data is the total number of sample values. - **C.** The number of degrees of freedom for a collection of sample data is the number of sample values that are determined after certain restrictions have been imposed on all data values. - **D.** The number of degrees of freedom for a collection of sample data is the number of sample values that can vary after certain restrictions have been imposed on all data values. --- This instructional module aims to provide students with a clear understanding of statistical concepts essential for data analysis, such as degrees of freedom and critical values within confidence intervals.
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