Variables: Discrete and Continuous Variables
Understand the Problem
The question refers to the concepts of discrete and continuous variables, which are types of data in statistics. Discrete variables are countable and can take on a finite number of values, while continuous variables can take on an infinite number of values within a given range. This distinction is important in the field of statistics and data analysis.
Answer
Discrete variables take distinct, countable values; continuous variables can take any value within a range.
A discrete variable takes on distinct, countable values, whereas a continuous variable can take any value within a range and has infinitely many possible values.
Answer for screen readers
A discrete variable takes on distinct, countable values, whereas a continuous variable can take any value within a range and has infinitely many possible values.
More Information
Discrete variables often involve counts or numbers of items, such as the number of students in a class, while continuous variables relate to measurements, like temperature in a room.
Tips
A common mistake is assuming a variable is continuous simply because it deals with numbers. Ensure that the numbers can be infinitely divided for the variable to be truly continuous.
Sources
- Discrete vs Continuous variables: How to Tell the Difference - statisticshowto.com
- Discrete vs. Continuous Data: Differences & Examples - statisticsbyjim.com
AI-generated content may contain errors. Please verify critical information
