April 2019
Beginner to intermediate
1240 pages
45h 43m
English
Content preview from Data Science for Business and Decision Making
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Chapter 10
Nonparametric Tests
Abstract
This chapter studies the main types of nonparametric tests and identifies in which situations they must be applied. Nonparametric tests are an alternative to parametric ones when their hypotheses are violated or in cases in which the variables are qualitative. The main differences between parametric and nonparametric tests are presented in this chapter, as well as their respective advantages and disadvantages. The assumptions inherent to nonparametric hypotheses tests are also listed here. As a result, it is possible to identify when to use each one of the nonparametric tests. Each test is solved analytically and via IBM SPSS Statistics Software® and Stata Statistical Software®. The results obtained ...
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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.