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11. A continuous random variable X has a probability density function f, where A(1 – 2²) S(z) = clsewhere " The cumulative probability function F(z) = 0, z<0 A A(1 - ), z>1 A(z - ), B |0, 15= > 0 elsewhere 0, A(z - 4). 1, z< 0 z>1 [0, (z - 4), 0, I<0 D 0, I>1

11. A continuous random variable X has a probability density function f, where A(1 – 2²) S(z) = clsewhere " The cumulative probability function F(z) = 0, z<0 A A(1 - ), z>1 A(z - ), B |0, 15= > 0 elsewhere 0, A(z - 4). 1, z< 0 z>1 [0, (z - 4), 0, I<0 D 0, I>1

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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11. A continuous random variable X has a probability density function f, where J4(1 – x²) S(x) = clsewhere The cumulative probability function F(z) = 0, |서1-교), | 1, I< 0 0 < <1 * > 1 A 0 < <1 clsewhere B 0, 0, z< 0 0 < * <1 0, A(x-). 1, I>1 [0, A(x-). 0, * <0 0 < z <1 * > 1 D
Transcribed Image Text:11. A continuous random variable X has a probability density function f, where J4(1 – x²) S(x) = clsewhere The cumulative probability function F(z) = 0, |서1-교), | 1, I< 0 0 < <1 * > 1 A 0 < <1 clsewhere B 0, 0, z< 0 0 < * <1 0, A(x-). 1, I>1 [0, A(x-). 0, * <0 0 < z <1 * > 1 D
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