• Entry
  • Reader's guide
  • Entries A-Z
  • Subject index

While descriptive statistics describes the characteristics of a single variable, inferential statistics examines the relationship between two or more variables. Bivariate statistics is a type of inferential statistics that deals with the relationship between two variables. That is, bivariate statistics examines how one variable compares with another or how one variable influences another variable.

This entry explains bivariate statistics by giving concrete examples from communication research. This entry also elaborates on two different types of bivariate statistics (i.e., correlation and t-test). Finally, this entry outlines the procedures for conducting a bivariate analysis.

Examples for Bivariate Statistics

When bivariate statistics is employed to examine a relationship between two variables, bivariate data is used. Bivariate data consists of data collected from a sample on two different variables. The goal of ...

    • Loading...
    locked icon

    Sign in to access this content

    Get a 30 day FREE TRIAL

    • Watch videos from a variety of sources bringing classroom topics to life
    • Read modern, diverse business cases
    • Explore hundreds of books and reference titles