# PAUL HORN 保罗·霍恩

## Course Description

When first encountering probability and statistics, random and unpredictable seem like the same thing. If that is what you believe, learning probability seems impossible because it seeks to understand something which cannot be predicted.

In this course, we’ll discover that the opposite is often the case: that random events are often easier to understand than their deterministic brethren. It is this fact that allows statisticians to derive highly significant findings from relatively small data sets. We will learn some of the theory behind this: the basic ideas of probability, random events and random variables, and how they (through limit theorems) naturally to the fundamental ideas of statistics. Along the way we will encounter some examples and puzzles that will help us challenge and form our intuition.