Discrete and Continuous Data

Quantitative data can be divided into two types, discrete and continuous data.In this video you will learn the differences between discrete and continuous data.





Discrete and Continuous

Discrete data is data that has distinguishable spaces between values.

Often it is data that is counted.

On a graph the ordered pairs are at specific locations, so the graph is not connected, but is only points.

Some examples of discrete data include,

Number of dogs

Number of people

Tickets you have for a show.





Continuous data is data that falls on a continuum.

On a graph it is all of the points, and the points in between.

It is data that can be measured as finely as possible.

It is often a physical measure.

Discrete data will often will contain fractions or decimals.

Some examples of continuous data include,

Time

Age

Height

Weight

Let's look at two examples and see the differences between these types of data.

Family Members

Discrete  5 family members

Continuous: Range between 5 feet and 6 feet tall

Books, books on your bookshelf.

The discrete data is that you have 6 books on your bookshelf.

Continuous data is that they range in height from 15 to 30 cm in length



Discrete or not?

Number of cows on a farm yes discrete

Age of the cows on the farm  continuous



Number of points scored in a game.  discrete

Amount of oxygen in the atmosphere continuous

Temperature is continuous data

Number text messages sent today discrete





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