Heights of trees are an example of which type of data?

• A. $\text{Quantitative continuous data}$
• B. $\text{Quantitative discrete data}$
• C. $\text{Qualitative categorical data}$
• D. $\text{Ordinal data}$

Answer: (A)

Verified step by step guidance

1. Understand the types of data: Quantitative data represents numerical values, while qualitative data represents categories or labels.
2. Quantitative data can be further divided into discrete and continuous data. Discrete data consists of countable values (like number of trees), while continuous data can take any value within a range (like height, weight, or time).
3. Heights of trees are measured on a continuous scale and can take any value within a range, not just specific countable numbers.
4. Therefore, heights of trees are an example of quantitative continuous data because they are numerical and can vary continuously.
5. Review the other options: Quantitative discrete data refers to countable numbers, qualitative categorical data refers to categories without numeric meaning, and ordinal data refers to categories with a meaningful order but no precise numeric difference.