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Problems 719<br />

B–20 Let x be a random variable that has a Laplacian distribution. The Laplacian PDF is f(x) = (12b)<br />

e -x-m > b , where b and m are real constants and b 0.<br />

(a) Find the mean of x in terms of b and m.<br />

(b) Find the variance of x in terms of b and m.<br />

B–21 Referring to your solution for Prob. B–20, use MATLAB to plot the Laplacian PDF for m = 15<br />

and s = 5.<br />

B–22 Given the Gaussian PDF<br />

1<br />

>(2b<br />

f(x) =<br />

2 )<br />

12pb e-(x-m)2<br />

show that the variance of this distribution is b 2 .<br />

★ B–23 In a manufacturing process for resistors, the values obtained for the resistors have a Gaussian<br />

distribution where the desired value is the mean value. If we want 95% of the manufactured 1-kΩ<br />

resistors to have a tolerance of ;10%, what is the required value for s?<br />

B–24 Assume that x has a Gaussian distribution. Find the probability that<br />

(a) |x - m| s.<br />

(b) |x - m| 2s.<br />

(c) |x - m| 3s.<br />

Obtain numerical results by using MATLAB, or tables if necessary.<br />

B–25 Show that<br />

(a) Q(z) = 1 2 erfc a z 12 b.<br />

(b)<br />

(c)<br />

B–26 Using MATLAB, plot Q(z) as defined by Eq. (B–60) and Prob. B–25.<br />

B–27 For a Gaussian distribution, show that<br />

(a)<br />

Q(-z) = 1 - Q(z).<br />

Q(z) = 1 2 c1 - erfa z<br />

12 bd.<br />

F(a) = 1<br />

2 erfc a m - a<br />

12s b.<br />

(b) F(a) = 1 2<br />

c1 + erfc a<br />

a - m<br />

12s bd.<br />

B–28 Using MATLAB, plot the CDF for a Gaussian random variable where m = 10 and s = 2.<br />

B–29 A noise voltage has a Gaussian distribution. The RMS value is 5 V, and the DC value is 1.0 V.<br />

Find the probability of the voltage having values between -5 and +5 V.<br />

★ B–30 Suppose that x is a Gaussian random variable with m = 5 and s = 0.6.<br />

(a) Find the probability that x 1.<br />

(b) Find the probability that x 6.<br />

B–31 The Gaussian random variable x has a zero mean and a variance of 2. Let A be the event such that<br />

|x| 3.<br />

(a) Find an expression for the conditional PDF f(x|A).<br />

(b) Plot f(x|A) over the range |x| 5.<br />

(c) Plot f(x) over the range |x| 5 and compare these two plots.

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