Description | Probability distribution |

(Bayesian) Prior distribution over covariance matrices of a multivariate normal distribution | |

Distribution of p-values if the null hypothesis is true | |

Number of heads after flipping a coin a fixed number of times | |

(Bayesian) Prior distribution over discrete (categorical) probability distributions | |

Number of balls of each color drawn WITH replacement from a bag of red, green, and blue balls | |

Velocities of molecules in an ideal gas | |

Sample variance in a standard normal population (times a constant) | |

Number of calls received at a call center in one hour | |

A single fair coin flip yielding heads | |

Number of white balls drawn WITHOUT replacement from a bag of white and black balls | |

A single fair die roll | |

Sample mean divided by sample variance in a standard normal population (times a constant) | |

Number of tails obtained by flipping a coin until the first heads appears | |

Number of tails obtained by flipping a coin until the first n heads appear | |

Time between a call at a call center and the n-th immediately following call | |

Color of the first ball drawn from a bag with red, green, and blue balls | |

(Bayesian) Prior distribution of a single fair coin flip yielding heads | |

Time between a call at a call center and the immediately following call | |

Ratio of sample variances in standard normal populations | |

Length of the opposite side of a uniformly distributed angle in a right triangle, where the length of the adjacent side is fixed | |