4 Consider the following functions: f(x) = 12x cx 0≤x≤4 4 ≤ x ≤ 6 otherwise. G(x) = 0 0.1 +0.1 0.15-0.05 x < -1 −1 < x≤ 3 3 < x≤7 x>7 (a) Is there a number c such that f(x) is a valid probability density function? If so, determine the appropriate value of c, and if not, explain why. (b) Is G(x) a valid cumulative distribution function? (Justify your answer.)

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Chapter1: Combinatorial Analysis
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4 Consider the following functions:
1/2
f(x) = { //
X
сх
0≤x≤ 4
4 ≤ x ≤ 6
otherwise.
G(x) =
0.1 +0.1
0.15x0.05
x < -1
−1 < x ≤ 3
3 < x≤7
x>7
(a) Is there a number c such that f(x) is a valid probability density function? If so, determine
the appropriate value of c, and if not, explain why.
(b) Is G(x) a valid cumulative distribution function? (Justify your answer.)
Transcribed Image Text:4 Consider the following functions: 1/2 f(x) = { // X сх 0≤x≤ 4 4 ≤ x ≤ 6 otherwise. G(x) = 0.1 +0.1 0.15x0.05 x < -1 −1 < x ≤ 3 3 < x≤7 x>7 (a) Is there a number c such that f(x) is a valid probability density function? If so, determine the appropriate value of c, and if not, explain why. (b) Is G(x) a valid cumulative distribution function? (Justify your answer.)
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