Monday, November 7, 2016
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,
Let's look at two examples and see the differences between these types of data.
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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