| Description | Probability distribution |
| Sample variance in a standard normal population (times a constant) | |
| Number of heads after flipping a coin a fixed number of times | |
| Velocities of molecules in an ideal gas | |
| (Bayesian) Prior distribution of a single fair coin flip yielding heads | |
| Time between a call at a call center and the n-th immediately following call | |
| Number of calls received at a call center in one hour | |
| Number of white balls drawn WITHOUT replacement from a bag of white and black balls | |
| Number of tails obtained by flipping a coin until the first heads appears | |
| A single fair coin flip yielding heads | |
| (Bayesian) Prior distribution over discrete (categorical) probability distributions | |
| Color of the first ball drawn from a bag with red, green, and blue balls | |
| Time between a call at a call center and the immediately following call | |
| Number of tails obtained by flipping a coin until the first n heads appear | |
| Length of the opposite side of a uniformly distributed angle in a right triangle, where the length of the adjacent side is fixed | |
| Number of balls of each color drawn WITH replacement from a bag of red, green, and blue balls | |
| Ratio of sample variances in standard normal populations | |
| A single fair die roll | |
| Sample mean divided by sample variance in a standard normal population (times a constant) | |
| Distribution of p-values if the null hypothesis is true | |
| (Bayesian) Prior distribution over covariance matrices of a multivariate normal distribution | |