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A p p e n d i x<br />

PROBABILITY AND<br />

RANDOM VARIABLES<br />

B–1 INTRODUCTION<br />

The need for probability theory arises in every scientific discipline, since it is impossible to be<br />

exactly sure of values that are obtained by measurement. For example, we might say that we<br />

are 90% sure that a voltage is within ;0.1 V of a 5-V level. This is a statistical description of<br />

the voltage parameter as opposed to a deterministic description, whereby we might define the<br />

voltage as being exactly 5 V.<br />

This appendix is intended to be a short course in probability and random variables.<br />

Numerous excellent books cover this topic in more detail [Miller, 2012; Childers, 1997;<br />

Papoulis, 1991; Peebles, 1993; Shanmugan and Breipohl, 1988]. This appendix will provide a<br />

good introduction to the topic for the new student or a quick review for the student who is<br />

already knowledgeable in this area.<br />

If probability and random variables are new topics for you, you will soon realize that to<br />

understand them, you will need to master many new definitions that seem to be introduced all<br />

at once. It is important to memorize these definitions in order to have a vocabulary that can be<br />

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