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The image shows a comparison of salaries between construction workers and receptionists using boxplots. The question is asking to determine who makes more money between Jennie, who earns the median salary for construction workers, and Markos, who earns the third quartile salary for receptionists.

### Boxplot Analysis:
- **Construction Workers**: 
  - Median (second quartile, Q2) salary is approximately **$35,000**.
  - Third quartile (Q3) is around **$40,000**.
  
- **Receptionists**:
  - Median salary is around **$27,000**.
  - Third quartile (Q3) salary is about **$30,000**.

### Conclusion:
- **Jennie** earns the **median salary** for construction workers, which is around **$35,000**.
- **Markos** earns the **third quartile salary** for receptionists, which is around **$30,000**.

Thus, **Jennie makes more money** than Markos.

The correct answer is:
- **The construction worker (Jennie)**.

Would you like further details or have any questions?

### 5 Related Questions:
1. What does the third quartile represent in a boxplot?
2. How do we interpret the interquartile range in boxplots?
3. Why is the median salary important when comparing salaries?
4. Can outliers affect the interpretation of a boxplot?
5. How would the results change if we compared the first quartile salaries instead?

### Tip:
Boxplots are excellent for visualizing the spread of data and identifying the median, quartiles, and potential outliers in a dataset.

Jennie makes the median salary for a construction worker. Markos makes the third quartile salary for a receptionist. Who makes more money?

Learn how to analyze boxplots and compare median and third quartile salaries in this problem. We compare Jennie's median salary as a construction worker ($35,000) to Markos' third quartile salary as a receptionist ($30,000). Suitable for students in Grades 6-8.

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