3. A woman in the airport is handing out questionnaires to travelers asking them to evaluate the airport's service. She does not ask travelers who are hurrying through the airport with their hands full of luggage, but instead asks all travelers who are sitting near gates and not taking naps while they wait. A Cluster Random Sample B Simple Random Sample C Stratified Random Sample D Convenience Sample E Systematic Random Sample 4. A teacher wants to know if her students are doing homework, so she randomly selects rows two and five and then calls on all students in row two and all Atudents in row five to present the solutions to homework problems to the class. A Systematic Random Sample B Convenience Sample C Cluster Random Sample D Stratified Random Sample E Simple Random Sample

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Let's analyze each question to determine the appropriate sampling method.

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### **Question 3**

**Scenario:**
A woman at the airport is handing out questionnaires to travelers who are **sitting near gates and not taking naps**, deliberately avoiding those who are **hurrying with full hands of luggage**.

**Options:**
- A) Cluster Random Sample
- B) Simple Random Sample
- C) Stratified Random Sample
- D) Convenience Sample
- E) Systematic Random Sample

**Analysis:**
- **Convenience Sampling** involves selecting a sample based on ease of access or availability. In this case, the woman is choosing travelers who are easily approachable (sitting near gates) and avoiding those who are busy or moving quickly.
- **Cluster Sampling** would involve dividing the population into clusters (e.g., different terminals) and randomly selecting entire clusters, which isn't exactly what's happening here.
- **Stratified Sampling** involves dividing the population into strata based on certain characteristics and then sampling from each stratum, which doesn't align with the scenario.
- **Simple Random Sampling** and **Systematic Random Sampling** involve more random selection processes without the specific focus on easily accessible groups.

**Answer:**  
**D. Convenience Sample**

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### **Question 4**

**Scenario:**
A teacher wants to assess if students are doing homework. She **randomly selects rows two and five** and then **calls on all students in those selected rows** to present their homework solutions.

**Options:**
- A) Systematic Random Sample
- B) Convenience Sample
- C) Cluster Random Sample
- D) Stratified Random Sample
- E) Simple Random Sample

**Analysis:**
- **Cluster Sampling** involves dividing the population into clusters (e.g., rows of seats) and randomly selecting entire clusters to include in the sample. Here, the rows are treated as clusters, and entire rows are randomly selected for participation.
- **Stratified Sampling** would require dividing the population into different strata based on specific characteristics and then sampling from each stratum, which isn't the case here.
- **Systematic Random Sampling** involves selecting every nth individual from a list, which doesn't apply here.
- **Convenience Sampling** is about ease of access, but the selection here is based on random row selection rather than convenience.
- **Simple Random Sampling** would involve randomly selecting individual students regardless of their row placement.

**Answer:**  
**C. Cluster Random Sample**

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**Summary of Answers:**
- **Question 3:** D. Convenience Sample
- **Question 4:** C. Cluster Random Sample

Answer:
Problem 3 Answer:
D. Convenience Sample

Problem 4 Answer:
C. Cluster Random Sample
Problem 3 Answer: D. Convenience Sample Problem 4 Answer: C. Cluster Random Sample

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