Lecture3_CountingConditional

Lecture3_CountingConditional - ECE 340 Probabilistic...

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ECE 340 Probabilistic Methods in Engineering M/W 3-4:15 Prof. Vince Calhoun Prof. Vince Calhoun Lecture 3: Counting/Conditional Lecture 3: Counting/Conditional
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Review of Last Time • Section 2.1 • Examples of experiments •D i s c r e t e • Continuous •E v e n t s E x a m p l e s • Certain event • Null event • Set Operations • Union
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Reading • This class: Section 2.3-2.4 • Next class: Section 2.5-2.5 (Jean Liu)
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Outline • Section 2.3 • Counting • Permutations of n objects • Section 2.4 • Conditional probability •Ba
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Enumeration or Counting Technologies When the various outcomes of an experiment are equally likely (the same probability is assigned to each sample event). Then the task of computing probabilities reduces to counting. In particular, if N(S) is the # of outcomes contained in an event A, then ) ( ) ( ) ( S N A N A P =
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Product Rule Suppose that a set consists of an ordered collection of r elements, and that there are n 1 ways to choose the first element, n 2 ways to choose the second element, … n r ways to choose the r-th element, then there are n 1 × n 2 × n r possible r-tuples. Note:
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This note was uploaded on 02/10/2010 for the course TBE 2300 taught by Professor Cudeback during the Spring '10 term at Webber.

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Lecture3_CountingConditional - ECE 340 Probabilistic...

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