We are asked to give example data sets of univariate and bivariate data. Then we will determine the differences between these data types.
Univariate Data
When a set of data uses only one variable, it is called univariate. Let's look at some example data that represents the number of hours per day that some developers spend programming.
ccccc
8 & 9 & 5 & 11 & 5
10 & 11 & 7 & 6 & 8
This data set involves only one variable — hours per day. Therefore, it is univariate. We can represent the data set using a bar graph.
Keep in mind that this is only one example of this type of data. The following data sets are also univariate.
The atomic numbers of the elements in the periodic table
The numbers of the houses of your friends and family
The side lengths of squares
Bivariate Data
A data set is considered bivariate when it uses two variables. Once again, let's consider the number of hours per day that developers spend programming. This time, we will also consider the annual salary of these developers.
Hours Spent Programming
Annual Salary
8
$90 100
9
$110 600
5
$130 500
11
$95 000
5
$72 100
10
$64 200
11
$106 400
7
$112 500
6
$104 900
8
$79 500
Now the data set involves two variables. Therefore, it is bivariate. This type of data usually shows the relationship between two variables. To visualize the relationship between two variables, we can plot ordered pairs of the data on a scatter plot.
The following data sets are also examples of bivariate data sets.
The radii and surface areas of spheres
The shoe sizes and heights of your friends
The sales of ice cream and the average temperature on a given day
Differences
Finally, we can conclude the differences between univariate and bivariate data.
