Abstract
We will perform experiments—which could be pretty much anything, from flipping a coin, to eating too much saturated fat, to smoking, to crossing the road without looking—and reason about the outcomes (mostly bad for the examples I gave). But these outcomes are uncertain, and we need to weigh those uncertainties against one another. If I flip a coin, I could get heads or tails, and there’s no reason to expect to see one more often than the other. If I eat too much saturated fat or smoke, I will very likely have problems, though I might not. If I cross the road without looking, I may be squashed by a truck or I may not. Our methods need also to account for information. If I look before I cross the road, I am much less likely to be squashed. Probability is the machinery we use to describe and account for the fact that some outcomes are more frequent than others.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Forsyth, D. (2018). Basic Ideas in Probability. In: Probability and Statistics for Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-64410-3_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-64410-3_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-64409-7
Online ISBN: 978-3-319-64410-3
eBook Packages: Computer ScienceComputer Science (R0)