Edinburgh, United Kingdom

Probability and Stochastics

Table of contents

⇑Probability and Stochastics at University of Edinburgh

Language: English Studies in English
Subject area: mathematics and statistics
University website: www.ed.ac.uk/studying
Type: PhD

⇑Definitions and quotes

Probability
Probability is the measure of the likelihood that an event will occur. See glossary of probability and statistics. Probability is quantified as a number between 0 and 1, where, loosely speaking, 0 indicates impossibility and 1 indicates certainty. The higher the probability of an event, the more likely it is that the event will occur. A simple example is the tossing of a fair (unbiased) coin. Since the coin is fair, the two outcomes ("heads" and "tails") are both equally probable; the probability of "heads" equals the probability of "tails"; and since no other outcomes are possible, the probability of either "heads" or "tails" is 1/2 (which could also be written as 0.5 or 50%).
Probability
The epistemological value of probability theory is based on the fact that chance phenomena, considered collectively and on a grand scale, create non-random regularity.
Andrey Kolmogorov, Limit Distributions for Sums of Independent Random Variables (1954), as translated by K. L. Chung
Probability
How often have I said to you that when you have eliminated the impossible, whatever remains, however improbable, must be the truth?
Sherlock Holmes Sign of the Four Chap. 6, p. 111, written by Arthur Conan Doyle
Probability
Probability is the very guide of life.
Cicero, De Natura, 5, 12; reported in Hoyt's New Cyclopedia Of Practical Quotations (1922), p. 634. Quoted by Bishop Butler. Also used by Richard Hooker, Ecclesiastical Polity, Book I, Chapter VIII., and, Book II, Chapter VII. Found in John Locke, Essays, Book IV, Chapter XV. Also in Hobbes' Leviathan.
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