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Data Science for Business and Decision Making
book

Data Science for Business and Decision Making

by Luiz Paulo Favero, Patricia Belfiore
April 2019
Beginner to intermediate
1240 pages
45h 43m
English
Academic Press
Content preview from Data Science for Business and Decision Making
Chapter 7

Sampling

Abstract

The objective of this chapter is to present the main sampling concepts and methods, characterizing the differences between a population and a sample. The main random and nonrandom sampling techniques are described here, as well as their advantages and disadvantages. Thus, it is possible to select the most suitable sampling technique for the study we are interested in. For each type of random sampling, we calculate the sample size based on accuracy and on the confidence level we are interested in having.

Keywords

Population; Sample; Sampling techniques; Random sampling; Nonrandom sampling; Sample size

Our reason becomes obscure when we consider that the countless fixed stars that shine in the sky do not have any ...

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Publisher Resources

ISBN: 9780128112175