The two types of quantitative variables are:

1. Discrete Variables: These take on a countable number of distinct values. For example, the number of students in a class, the number of cars in a parking lot, etc. Discrete variables often represent whole numbers or counts.

2. Continuous Variables: These can take on any value within a given range. Examples include height, weight, time, and temperature. Continuous variables often involve measurements that can be represented with decimals or fractions.

Would you like more details or have any questions on this topic?

Here are 5 related questions for you:

1. What are some examples of discrete variables in real life?
2. How do continuous and discrete variables differ in data collection?
3. Can a variable be both discrete and continuous? Why or why not?
4. What type of graphs are typically used to represent discrete variables?
5. How do statistical methods differ when handling discrete vs. continuous data?

Tip: When dealing with continuous variables, measurements are often approximations due to the limits of the measuring tool.