April 2012
Intermediate to advanced
496 pages
12h 21m
English
Content preview from Mathematical Foundations of Computer NetworkingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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2. Statistics
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 ...
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