Steven Sanderson isn’t content with a univariate normal distribution:
Imagine two variables, like height and weight, that exhibit a joint distribution. The bivariate normal distribution captures the relationship between these variables, describing how their values tend to cluster around certain means and how they vary together. It’s like a two-dimensional bell curve, where the peak represents the most likely combination of values for both variables.
Click through to learn a bit more about bivariate normal distributions, including ways to plot one and show its density function.