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Continuous Probability Models
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Continuous Probability Models
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16. Probability & Calculus / Continuous Probability Models / Problem 3
Problem 3
Given the PDF f(x) = 3x^2 e^{-x^3} for x ≥ 0 and f(x) = 0 for x < 0, compute the cumulative distribution function F(x) for x ≥ 0.
A
F(x) = -e^{-x^3} for x ≥ 0 and undefined for x < 0, because the constant of integration is neglected
B
F(x) = 1 - e^{-x^3} for x ≥ 0 (and 0 for x < 0)
C
F(x) = 1 - e^{x^3} for x ≥ 0, since integrating the negative exponent flips the sign, and 0 for x < 0
D
F(x) = e^{-x^3} for x ≥ 0 and 1 for x < 0 because the integral of the density is the exponential evaluated at the negative cube
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