Probability Distributions in R

In statistics, the Kullback–Leibler (KL) divergence is a distance metric that quantifies the difference between…

In statistics, two variables follow a bivariate normal distribution if they have a normal distribution…

This tutorial explains how to work with the Chi-Square distribution in R using the following…

The central limit theorem states that the sampling distribution of a sample mean is approximately…

The triangular distribution is a continuous probability distribution with a probability density function shaped like…

The multinomial distribution describes the probability of obtaining a specific number of counts for k…

You can use the following methods to work with the normal CDF (cumulative distribution function)…

The Empirical Rule, sometimes called the 68-95-99.7 rule, states that for a given dataset with a…

In statistics, the gamma distribution is often used to model probabilities related to waiting times.…

You can use the following syntax to plot a Beta distribution in R: #define range…