March 2018
Beginner to intermediate
570 pages
13h 42m
English
Content preview from Data Analysis with R, Second Edition - Second Edition
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Exercises
Here are a few exercises for you to practise and revise the concepts learned in this chapter:
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Read about data-dredging and p-hacking. Why is it dangerous not to formulate a hypothesis, set an alpha level, and set a sample size before collecting data and analyzing results?
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Use the library(help="datasets") command to find a list of datasets that R has already inbuilt. Pick a few interesting ones and form a hypothesis about each one. Rigorously define your null and alternative hypotheses before you start. Test those hypotheses even if it means learning about other statistical tests.
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How you might quantify the effect size of a one-way ANOVA? Look up eta-squared if you get stuck.
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In ethics, the doctrine of moral relativism holds ...
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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.