July 2025
Beginner
464 pages
9h 31m
English
Content preview from Statistical Analysis with R For Dummies, 2nd Edition
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Chapter 17
Introducing Probability
IN THIS CHAPTER
Defining probability
Working with probability
Dealing with random variables and their distributions
Focusing on the binomial distribution
Learning probability-related R functions
Probability is the basis of hypothesis testing and inferential statistics, so I use this concept throughout the book. (Seems like a fine time to introduce it!)
Most of the time, I represent probability as the proportion of area under part of a distribution. For example, the probability of a Type I error (also known as α) is the area in a tail of the standard normal distribution, or in a tail of the t-distribution.
It’s time to examine probability in greater detail, including random variables, permutations, and combinations. First I show you some fundamentals and applications of probability, and then I focus on a couple of specific probability distributions and also tell you about some probability-related R functions.
What Is Probability?
Most people have ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.