This chapter reviews basic statistical concepts and techniques. We start by considering a critical problem in statistics: choosing a representative sample. We then discuss statistical techniques to deal with some situations that frequently arise in carrying out research in computer networking: describing data parsimoniously, inferring the parameters of a population from a sample, comparing outcomes, and inferring correlation or independence of variables. We conclude with some approaches to dealing with large data sets and a description of common mistakes in statistical analysis and how to avoid them.
2.1. Sampling a Population
The universe of individuals under study constitutes a population that can be characterized by its inherent ...