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B–6 Ensemble Average and Moments 693<br />

score of 100, 2 with scores of 95, 4 with 90, 6 with 85, 10 with 80, 10 with 75, 5 with 70, 1 with<br />

65, and l paper with a score of 60. Then, the class average is<br />

xq =<br />

100(1) + 95(2) + 90(4) + 85(6) + 80(10) + 75(10) + 70(5) + 65(1) + 60(1)<br />

= 100a 1<br />

40 b + 95a 2 40 b + 90a 4<br />

40 b + 85a 6 10<br />

b + 80a<br />

40 40 b + 75a10 40 b<br />

+ 70a 5<br />

40 b + 65a 1<br />

40 b + 60a 1<br />

40 b<br />

40<br />

= a<br />

9<br />

i = 1<br />

x i P(x i ) = 79.6<br />

(B–24)<br />

Moments<br />

Moments are defined as ensemble averages of some specific functions used for h(x). For<br />

example, for the rth moment (defined subsequently), let y = h(x) = (x - x 0 ) r .<br />

DEFINITION.<br />

given by<br />

The rth moment of the random variable x taken about the point x = x 0 is<br />

(x - x 0 ) r q<br />

= (x - x 0 ) r f(x) dx<br />

L<br />

-q<br />

(B–25)<br />

DEFINITION. The mean m is the first moment taken about the origin (i.e., x 0 = 0).<br />

Thus,<br />

q<br />

m ! xq = xf(x) dx<br />

L<br />

-q<br />

(B–26)<br />

s 2<br />

DEFINITION. The variance is the second moment taken about the mean. Thus,<br />

q<br />

s 2 = (x - xq) 2 = (x - xq) 2 f(x) dx<br />

L<br />

-q<br />

(B–27)<br />

DEFINITION.<br />

The standard deviation s is the square root of the variance. Thus,<br />

q<br />

s = 2s 2 = (x - xq) 2 f(x) dx<br />

C L<br />

-q<br />

(B–28)<br />

As an engineer, you may recognize the integrals of Eqs. (B–26) and (B–27) as related to<br />

applications in mechanical problems. The mean is equivalent to the center of gravity of a mass<br />

that is distributed along a single dimension, where f(x) denotes the mass density as a function<br />

of the x-axis. The variance is equivalent to the moment of inertia about the center of gravity.

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