*Determine whether the data are qualitative or quantitative. Explain your reasoning.*

Carrying capacities of flatbed trucks  

Quantitative, because carrying capacities are numerical measurements.

Response area, because carrying capacities are Response area
 
numerical measurements

qualitative

attributes

quantitative

labels

The data regarding "carrying capacities of flatbed trucks" is **quantitative**. This is because carrying capacities represent **numerical measurements** (such as weight limits) that can be measured and compared using numbers, for example, in pounds or kilograms.

In contrast, **qualitative** data refers to descriptive attributes or labels, not numerical values, like color or type.

Would you like a further breakdown or more examples to clarify the difference?

Here are 5 related questions:
1. What are some examples of qualitative data?
2. How can you distinguish between discrete and continuous quantitative data?
3. Why is it important to differentiate between qualitative and quantitative data in statistics?
4. What are some examples of quantitative data in real-world applications?
5. Can a dataset include both qualitative and quantitative data?

**Tip:** Quantitative data is often analyzed through statistical methods, whereas qualitative data is usually analyzed through categorization and interpretation.

Determine whether the data are qualitative or quantitative. Explain your reasoning. Carrying capacities of flatbed trucks.

Explore the difference between qualitative and quantitative data with the example of carrying capacities of flatbed trucks. Learn how quantitative data involves numerical measurements, while qualitative data refers to descriptive attributes. Suitable for Grades 6-8.

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