October 2023
Beginner
516 pages
12h 12m
English
Content preview from The Statistics and Machine Learning with R Workshop
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11
Statistical Estimation
In this chapter, we will introduce you to a range of statistical techniques that enable you to make inferences and estimations using both numerical and categorical data. We will explore key concepts and methods, such as hypothesis testing, confidence intervals, and estimation techniques, that empower us to make generalizations about populations from a given sample.
By the end of this chapter, you will grasp the core concepts of statistical inference and be able to perform hypothesis testing in different scenarios.
In this chapter, we will cover the following main topics:
- Statistical inference for categorical data
- Statistical inference for numerical data
- Constructing the bootstrapped confidence interval
- Introducing ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.