Probability begins with experiments and sample spaces, but real-world questions are almost always about numbers: How many heads? What’s the temperature? How long until the next bus? This chapter introduces random variables, the bridge that turns abstract outcomes into numeric quantities. By the end, you’ll understand how to describe the whole pattern of chances for a random variable using its cumulative distribution function, and you’ll see how to generate random numbers that follow any distribution you like.