{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Random Counts #" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The number of people who will vote for a Presidential candidate, the number of treated patients who recover, the number of correct predictions made by a sports journalist – all of these are example of *counts*. Random counts occur commonly in data science. Understanding them not only helps answer questions about the situations in which they arose but also helps us understand more complicated random quantities.\n", "\n", "In this chapter we will start out with random counts that seem unlikely. We will then develop some general terminology and notation for dealing with random quantities that have numerical values. Our main examples will be random counts when sampling with and without replacement." ] }, { "cell_type": "markdown", "metadata": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "