Bivariate: Difference between revisions
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= Bivariate Normal = | = Bivariate Normal = | ||
[[File:Bivariate Normal Example Scatterplot.png|thumb|Scatterplots of bivariate normal distribution]] | |||
The '''bivariate normal''' is one special type of continuous random | The '''bivariate normal''' is one special type of continuous random | ||
variable. | variable. | ||
Revision as of 17:49, 18 March 2024
Consider two numerica random variables and . We can measure their covariance.
Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle Cov(X,Y)}
The correlation of two random variables measures the line dependent between and Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle Y}
Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle Cor(X, Y) = \rho = \frac{Cov(X,Y)}{sd(X) sd(Y)} }
Bivariate Normal

The bivariate normal is one special type of continuous random variable.
