## What are examples of categorical variables?

Categorical variables represent types of data which may be divided into groups. Examples of categorical variables are race, sex, age group, and educational level.

## What are examples of quantitative variables?

Height, weight, response time, subjective rating of pain, temperature, and score on an exam are all examples of quantitative variables.

**What are categorical variables and quantitative variables?**

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age). Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

**What are three examples of categorical?**

In comparison, categorical data are qualitative data types. Some examples include: name, hair colour, qualification etc.

### What is quantitative variable?

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age). Categorical variables are any variables where the data represent groups.

### Is gender categorical or quantitative?

categorical data

For example, gender is a categorical data because it can be categorized into male and female according to some unique qualities possessed by each gender. There are 2 main types of categorical data, namely; nominal data and ordinal data.

**Is age categorical or quantitative?**

quantitative variable

One question that students often have is: Is age considered a qualitative or quantitative variable? The short answer: Age is a quantitative variable because it represents a measurable quantity.

**What are some examples of quantitative and qualitative variables?**

Examples of quantitative characteristics are age, BMI, creatinine, and time from birth to death. Examples of qualitative characteristics are gender, race, genotype and vital status. Qualitative variables are also called categorical variables.

## Is eye color a categorical variable?

Eye colour is qualitative variable, also called a categorical variable. The categories are not ordered. Such a variable is also called nominal.

## Is shoe size quantitative or categorical?

Variables – There are 5 variables. Sex and degree program are categorical variables. Height and shoe size are quantitative variables.

**What are three examples of quantitative?**

Some examples of quantitative data include:

- Revenue in dollars.
- Weight in kilograms.
- Age in months or years.
- Length in centimeters.
- Distance in kilometers.
- Height in feet or inches.
- Number of weeks in a year.

**Is shoe size categorical or quantitative?**

quantitative variables

Variables – There are 5 variables. Sex and degree program are categorical variables. Height and shoe size are quantitative variables.

### How to create a categorical variable?

– ‘A‘ if the value in the ‘var1’ column is less than 3. – Else, ‘B‘ if the value in the ‘var1’ column is less than 4. – Else, ‘C‘ if the value in the ‘var1’ column is less than 5. – Else, ‘D‘ if the value in the ‘var1’ column is less than 6. – Else, ‘E‘.

### How to compare categorical variables?

Comparison tests look for differences among group means. They can be used to test the effect of a categorical variable on the mean value of some other characteristic. T-tests are used when comparing the means of precisely two groups (e.g. the average heights of men and women).

**How to find the relationship between categorical variables?**

– Strong influence of outliers — Pearson is quite sensitive to outliers – Assumption of linearity — The variables should be linearly related – Assumption of homoscedasticity

**How to graph three categorical variables?**

We have three categorical variables that we are trying to analyse for, and we need to choose how to visualise them all, while also indicating the dependent variables (win %, for example). With a bar graph, one option is to use subplots as mentioned: This is fine, but it is still missing quite a bit of information that would be useful to us.