Data Journalism
A bivariate normal distribution is a statistical distribution that represents the behavior of two continuous random variables that are jointly normally distributed. This means that the relationship between the two variables can be expressed as a bell-shaped curve in a three-dimensional space, where the joint distribution is defined by their means, variances, and the correlation between them. Understanding this concept is crucial for analyzing relationships and correlations between paired data sets, allowing for insights into how one variable may influence another.
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