Here are the correct choices for completing the sentences:

1. A quantitative variable provides numerical measures of individuals. The values of a quantitative variable can be added or subtracted, and provide meaningful results.

2. A qualitative variable allows for classification of individuals based on some attribute or characteristic.

3. A variable is the characteristic of the individuals within the population.

4. Data is information that describes characteristics of an individual.

5. A discrete variable has either a finite number of possible values or a countable number of possible values. The values of these variables typically result from counting.

6. A continuous variable has an infinite number of possible values that are not countable. The values of these variables typically result from measurement.

Do you need further clarification on any of these terms or examples?

Follow-up questions:

1. Can you provide examples of discrete and continuous variables?
2. How does a quantitative variable differ from a qualitative one?
3. Why are continuous variables often associated with measurement?
4. How does the classification of variables impact data analysis?
5. Can you explain the role of variables in constructing a data set?

Tip:

When dealing with quantitative variables, always check whether the data are discrete or continuous. This distinction can influence the types of statistical analyses that are appropriate!