The correct term to fill in the blank is continuous.

A continuous random variable has infinitely many possible values, typically associated with measurements that can take any value within a certain range (such as weight, height, temperature, etc.).

Would you like more details on continuous vs. discrete random variables or have any further questions?

Here are five related questions to expand your understanding:

1. What is the difference between continuous and discrete random variables?
2. Can a continuous random variable have a finite set of possible values?
3. How is the probability of a continuous random variable determined?
4. What is an example of a discrete random variable?
5. How are continuous random variables used in real-world statistical modeling?

Tip: In probability distributions for continuous random variables, probabilities for specific points are always zero—probabilities are calculated over intervals instead.