By Fazlollah M. Reza

ISBN-10: 0486682102

ISBN-13: 9780486682105

Info concept

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85): P{AB} = PIA }P{B} P{AB'} = P{A}P{B'} P{A'B} = P{A'}P{B} P{A'B'} = P{A'}P{B'1 Independent events are more specifically called statistically independent or stochastically independent. DISCRETE SCHEMES WITHOUT Example a certain group of engineers, 60 per cent have insufficient ground of information theory, 50 per cent have inadequate knowledge of probabilitv and 80 per cent are in either one or both of the two categories What is the percentage of people who know probability among those who have a sufficient background of information theory?

For example, if we combine the members of the set {A,B,C,D} two by two, AB, AC, DB are different binations but AB and BA are not. The number of different combinations of n objects taken r at a time is P» c» = rT = n! (n _ r)! (2-104) When confusion will not result, one may use the notation (;) for C/'. Note that BASIC CONCEPTS OF DISCRETE PROBABILITY =n + + + (2-108) The following theorem is often used in combinatorial problems. a set contain k mutually exclusive subsets of objects: with Let {A 1,A 2, • • • ,A k } Ai = {ail,ai2, .

Of Events. * In Sec. 2-7 on Probability Measure an introductory axiomatic account of probability aa a measure of a set was this section is to supplement the set-theory given. The object of view with some perhaps less formal discussion of the probability of occurrence of certain events of a defined experiment. In other words, we wish to make a transition from the suggested abstract mathematical measure to some numerical function the measure requirements. The first step toward this objective is to define an experiment such as the tossing of a coin or the drawing of a card from a given deck of cards.

### An Introduction to Information Theory by Fazlollah M. Reza

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