##### Asked by: Radu Abdrakhmanoff

asked in category: General Last Updated: 6th March, 2020# What is univariate and bivariate analysis with examples?

**univariate data**. For

**example**, you might study a group of college students to find out their average SAT scores or you might study a group of diabetic patients to find their weights.

**Bivariate data**is when you are studying two variables.

Also question is, what is the difference between bivariate and univariate?

Mentor: **Bivariate** data is data that involves two **different** variables whose values can change. **Bivariate** data deals with relationships **between** these two variables. This type of data is known as **univariate** data and it does not deal with relationships, but rather it is used to describe something.

Similarly, what does univariate analysis mean? **Univariate analysis is** the simplest form of **analyzing** data. “Uni” **means** “one”, so in other words your data has only one variable. It doesn't deal with causes or relationships (unlike regression) and it's major purpose **is** to describe; it takes data, summarizes that data and finds patterns in the data.

Keeping this in consideration, what is an example of univariate data?

**Univariate** means "one variable" (one type of **data**). **Example**: You weigh the pups and get these results: 2.5, 3.5, 3.3, 3.1, 2.6, 3.6, 2.4. The "one variable" is Puppy Weight. If you have two sets of **data**, such as ice cream sales vs temperature, it is called "Bivariate **Data**".

What does bivariate analysis mean?

**Bivariate analysis** is one of the simplest forms of quantitative (statistical) **analysis**. It involves the **analysis** of two variables (often denoted as X, Y), for the purpose of determining the empirical relationship between them. Like **univariate analysis**, **bivariate analysis** can be descriptive or inferential.