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To analyze the question, we need to understand the relationship between the boxplot for construction workers' and teachers' salaries. The boxplot gives a visual summary of the data's distribution. It typically shows the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum values.

The problem asks:

**"If a person is making the first quartile salary for a construction worker, they are making more than what percentage of teachers?"**

### Key points to identify from the boxplot:

1. **First Quartile (Q1)**: The salary at the 25th percentile of the distribution.
   - We need to find Q1 for construction workers.
   - We then compare this Q1 value to the teacher's salary distribution.

### From the boxplot:
- **Construction workers' first quartile salary** seems to be around **$35,000** (thousands of dollars).
- Now, observe where $35,000 falls within the teacher salary distribution:
  - $35,000 is around the **median (Q2)** for teachers, meaning that half of the teachers earn less than this amount.

Thus, a person making the first quartile salary for construction workers ($35,000) is making more than **50% of teachers**, since it falls at the median of the teachers' salary distribution.

### Answer:
They are making more than **50%** of teachers.

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Do you want further details or have any other questions?

### Related questions:
1. What does the first quartile represent in a boxplot?
2. How do we calculate the interquartile range from a boxplot?
3. What is the significance of the median in a boxplot?
4. How does the distribution skewness affect the interpretation of salaries in a boxplot?
5. What are outliers, and how can we identify them in a boxplot?

**Tip**: When comparing two boxplots, always locate where one quartile's value falls in the other dataset to make accurate comparisons.

If a person is making the first quartile salary for a construction worker, they are making more than what percentage of teachers?

Learn how to compare the first quartile salary of construction workers with the salary distribution of teachers using boxplots. This problem focuses on understanding quartiles and percentile comparison. Suitable for students in Grades 7-9.

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