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 9
Hypotheses Tests
Abstract
This chapter discusses how hypotheses tests are inserted in statistical inference. The concept of hypotheses tests and their goals is presented here, as well as the procedures for constructing them. Hypotheses tests are classified as parametric and nonparametric, and this chapter focuses mainly on parametric tests (nonparametric tests will be discussed in the following chapter). We define the concepts and assumptions of parametric tests, in addition to their respective advantages and disadvantages. We will study the main types of parametric hypotheses tests and the inherent assumptions, including tests for normality, homogeneity of variance tests, Student’s t-test and its applications, besides the ANOVA ...
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