Course
Probability Puzzles in R
BasicSkill Level
Updated 08/2024
RProbability & Statistics4 hr13 videos45 Exercises3,750 XP4,269Statement of Accomplishment
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Prerequisites
Intermediate RFoundations of Probability in R1
Introduction and Classic Puzzles
This chapter will introduce some basic principles that will be used throughout the course, such as writing loops and functions. Then, we dive into a couple of classic problems: the Birthday Problem, and Monty Hall.
2
Games with Dice
In this chapter, we explore games in which dice are rolled, including Yahtzee, Settlers of Catan, and Craps. You will learn tools such as using built-in R functions to calculate combinatorics, and using functions such as replicate and the %in% operator.
3
Inspired from the Web
The puzzles in this chapter were inspired by ideas encountered on the internet. In order to solve them, you will learn to combine tools such as nested for loops, and the functions round, identical, and sapply.
4
Poker
This chapter explores questions in poker, including the most often televised version of Texas Hold'em. We will learn to code for win probabilities with any given number of outs, and also explore a more theoretical model of poker known as the von Neumann model. We will learn to use functions such as Reduce, runif, and ifelse.
Probability Puzzles in R
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FAQs
What classic probability puzzles are covered in this course?
The course covers the Birthday Problem, Monty Hall, Yahtzee, Settlers of Catan, Craps, Texas Hold'em poker, and several puzzles inspired by problems found on the internet.
Do I need strong math skills or just basic probability knowledge?
You should complete Foundations of Probability in R first. The course uses coding to solve puzzles rather than heavy math, but a solid grasp of probability basics is essential.
What R functions and techniques will I practice in this course?
You will use replicate, sapply, Reduce, runif, ifelse, combinatorics functions, nested loops, and the %in% operator to solve probability puzzles programmatically.
Is the poker chapter useful if I do not play poker?
Yes, the poker chapter teaches transferable probability concepts like calculating win probabilities with any number of outs and explores the von Neumann theoretical model of poker.
How is this course different from a standard probability theory course?
It uses a problem-based learning approach where you solve entertaining puzzles rather than study theory. Each puzzle teaches coding tools and strategies applicable to many probability problems.
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