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Bivariate normal distribution is a probability distribution that describes the joint probability distribution of two random variables. It is characterized by a bell-shaped curve and is widely used in statistics to model correlated data. With its symmetrical and elliptical contours, bivariate normal distribution allows for the analysis of relationships between two variables, making it a cornerstone of statistical theory and practice.
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