Entropy of a discrete random variable with possible values {x1 x2, ..., xn} and probability density function P(X) is:\(H\left( X \right) = - \mathop \sum \limits_{i = 1}^n P\left( {{x_i}} \right){\log _{\rm{b}}}P\left( {{x_i}} \right)\)The value of b gives the units of entropy. The unit for b = 10 is:

Entropy of a discrete random variable with possible values {x1 x2, ...

1.	Entropy of a discrete random variable with possible values {x1 x2, ..., xn} and probability density function P(X) is:\(H\left( X \right) = - \mathop \sum \limits_{i = 1}^n P\left( {{x_i}} \right){\log _{\rm{b}}}P\left( {{x_i}} \right)\)The value of b gives the units of entropy. The unit for b = 10 is:
A.	bits
B.	bann
C.	nats
D.	deca
Answer» D. deca

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Entropy of a discrete random variable with possible values {x1 x2, ..., xn} and probability density function P(X) is:\(H\left( X \right) = - \mathop \sum \limits_{i = 1}^n P\left( {{x_i}} \right){\log _{\rm{b}}}P\left( {{x_i}} \right)\)The value of b gives the units of entropy. The unit for b = 10 is:
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