R Tutorial: Probability Puzzles in R | Intro

Want to learn more? Take the full course at https://learn.datacamp.com/courses/probability-puzzles-in-r at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work. --- Welcome to Probability Puzzles in R! In this course, you will gain practice with basic probability concepts and learn new techniques as well, by exploring probability puzzles and solving them with R. The puzzles come from a variety of sources, including games with dice, poker games, and classic problems that you would likely encounter in a standard probability course. The puzzles are organized in this course thematically, with the first chapter containing puzzles that may already be familiar to you. The next chapter utilizes well-known games where dice are rolled. Chapter 3 contains puzzles posed by various educators on Twitter or elsewhere on the internet. Finally, in Chapter 4, we explore some questions in poker, including Texas Hold'em and other scenarios. Each puzzle has different challenges, and our exercises will ask for a mixture of simulated and exact theoretical solutions. For example, in the Yahtzee exercises, we will use combinatorics to solve for the probabilities of achieving various dice combinations. Conversely, in the birthday problem, we will simulate random birthdays and observe how frequently a match is observed, to obtain an estimate of the true probability of a match among any given number of individuals. To assist with our tasks, we will use some built-in combinatorics functions. The factorial function calculates the product of a given number and each integer below it, down to 1. The choose function will calculate combinations for us. For example, "choose 5 3", also pronounced "5 choose 3", is the number of ways to choose 3 objects out of 5, and follows this formula using factorials. A simulation is a random generation of a process that mimics the actual situation of interest. For example, we can select an object at random u