Bivariate probability is the probability of two events occurring simultaneously or the probability of one event occurring given that another event has already occurred. It involves analyzing the relationship between two variables and their likelihood of occurring together.
Bivariate probability is calculated by dividing the number of times the two events occur together by the total number of observations. This can also be expressed as the joint probability of the two events.
Bivariate probability involves analyzing the relationship between two variables, while univariate probability focuses on the probability of a single event occurring.
Bivariate probability is important in scientific research because it allows for the analysis of the relationship between two variables, which can provide insights and help in making predictions. It is commonly used in fields such as statistics, psychology, and economics.
No, bivariate probability alone cannot prove causation between two variables. While it can show a relationship between them, further research and evidence is needed to establish causation.