Asked by: Ionatan Netsch
Asked in category: business and finance, interest rates
Last Updated: 8th May 2024

What is a dichotomous variable, and how can it be used?

Dichotomous variable are nominal variables that have only two levels or categories. If we look at gender, for example, we would most likely categorize someone as "male" or female. This is an example for a dichotomous (and also nominal) variable.



Many people also wonder what a dichotomous variable is in statistics.

A dichotomous variable refers to a variable that can only take on one value when measured or observed. Most often, the value represents a measured variable (e.g. age: less than 65/65 or over) or an attribute, (e.g. gender: male/female).

What is a dichotomous example? Examples of dichotomous variables Female or Male. Rich or poor. Democrat or Republican. Pass or fail Below 65 years old or 65 years and older

What are the differences between dichotomous data, besides?

Dichotomous data. Dichotomous data uses binary "success", or "failure", categories to describe subjects' status (e.g. animals in toxicity studies). They can be treated at different doses with or without any effect (e.g. cancer).

What are some examples of categorical variables you might use?

Categorical variables include race, sex and education level. These variables can also be considered numerically by using exact values of age and highest grade, but it is more useful to group them into smaller groups.