August 2008
Beginner to intermediate
568 pages
12h 1m
English
Content preview from Discrete Mathematics and Combinatorics
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Chapter 14
Discrete Probability
Learning Objectives
On completing this chapter, you should be able to:
write down the sample space for simple random experiments
define the notions of an event, mutually exclusive events and compliment of an event
define the notion of a random variable
state the axioms of probability
state and prove the addition law for probabilities
compute the probability of events in simple random experiments
identify events associated with a given random variable
define conditional probability
define the notions of independent and mutually exclusive events
state the multiplicative law for probabilities
state and prove total probability and Bayes theorems
solve problems based on total probability and Bayes theorems
recall ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.