## What are examples of discrete variables?

Here are some examples of discrete variables:

- Number of children per family.
- Number of students in a class.
- Number of citizens of a country.

## What is continuous data in statistics?

Continuous Data represents measurements and therefore their values can’t be counted but they can be measured. An example would be the height of a person, which you can describe by using intervals on the real number line. Interval Data. Interval values represent ordered units that have the same difference.

**What is the example of continuous variable?**

A variable is said to be continuous if it can assume an infinite number of real values within a given interval. For instance, consider the height of a student. The height can’t take any values.

### What is discrete data in statistics?

Discrete data is information that can only take certain values. This type of data is often represented using tally charts, bar charts or pie charts. Continuous data is data that can take any value. Height, weight, temperature and length are all examples of continuous data.

### What is a discrete variable in stats?

A discrete variable is a variable whose value is obtained by counting. A discrete random variable X has a countable number of possible values. Example: Let X represent the sum of two dice.

**Is a continuous variable countable?**

Discrete vs continuous: The real difference here is that the values that a discrete random variable can take are countable, while a continuous random variable takes values in some set of intervals — its possible values are not countable.

#### What is the difference between discrete and continuous data?

The difference between discrete and continuous data can be drawn clearly on the following grounds: Discrete data is the type of data that has clear spaces between values. Continuous data is data that falls in a continuous sequence. Discrete data is countable while continuous data is measurable.

#### What is the difference between discrete and continuous?

The main difference between discrete data and continuous data is that discrete data is the countable data with some particular values that do have some spaces or intervals in between. On the other hand, continuous data is the kind of data that is measurable data, carries a continuous sequential pattern without intervals depicting streamflow.

**What is the difference between continuous and discrete system?**

Discrete and Continuous Systems. A discrete system is one in which the state variable(s) change only at a discrete set of points in time. E.g. customers arrive at 3:15, 3:23, 4:01, etc. A continuous system is one in which the state variable(s) change continuously over time. E.g. the amount of water flow over a dam.

## What is the difference between discrete and continuous distribution?

A probability distribution may be either discrete or continuous. A discrete distribution means that X can assume one of a countable (usually finite) number of values, while a continuous distribution means that X can assume one of an infinite (uncountable) number of different values.