This preview shows page 1. Sign up to view the full content.
Unformatted text preview: q ) , if 0 q 1 , , otherwise . This Q represents the probability of success of a Bernoulli random variable X , i.e., P ( X = 1  Q = q ) = q. Find f Q  X ( q  x ) for x { , 1 } and all q . 3. Let X have the normal distribution with mean 0 and variance 1, i.e., f X ( x ) = 1 2 ex 2 / 2 . Also, let Y = g ( X ) where g ( t ) = bt, for t 0; t, for t > , as shown to the right. Find the probability density function of Y .5 5 1 2 3 4 5 t g(t) Page 1 of 1...
View
Full
Document
This note was uploaded on 12/02/2011 for the course ENGINEERIN EE302 taught by Professor Proasin during the Spring '11 term at South Carolina.
 Spring '11
 Proasin
 Computer Science, Electrical Engineering

Click to edit the document details