MATH103: Probability
Lent term 2017
Contents:
- 1 Introduction
- 2 Events
- 3 The axiomatic approach
- 4 Discrete random variables
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5 Models for discrete random variables
- 5.1 Useful mathematical identities
- 5.2 Discrete uniform random variables
- 5.3 Bernoulli random variables
- 5.4 Binomial random variables
- 5.5 Geometric random variables
- 5.6 Poisson random variables
- 5.7 Negative Binomial random variables (not examinable)
- 5.8 Hypergeometric random variables (not examinable)
- 5.9 Summary
- 6 Continuous random variables
- 7 Models for continuous random variables
- 8 More than one random variable
- 8.3 Weak law of large numbers
Additional Reading:
My favourite two books to support a course at this level are:
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Ross, S. (2000) A First Course in Probability. 5th Edition. Macmillan: New York.
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Grimmett, G., and Welsh, D. (1986) Probability: An Introduction. Oxford University Press.
Any basic book on probability should be helpful. An online resource which you may find useful is http://www.wikipedia.org, although please be aware that not all content is verified. Try the section AYD in the library. Surf the net.