Probability and what it has to do with data analysis
Abstract
Chapter 3, Probability and what it has to do with Data Analysis, is a review of probability theory. It develops the techniques that are needed to understand, quantify, and propagate measurement error. Two key themes introduced in this chapter and further developed throughout the book are that error is an unavoidable part of the measurement process and that error in measurement propagates through the analysis to affect the conclusions. Bayesian inference is introduced in this chapter as a way of assessing how new measurements improve our state of knowledge about the world.
Keywords
probability; probability density function; normal distribution; uniform distribution; Bayes theorem; ...
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