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3- If F(x) is the distribution function of random variable X, P(a ≤ x ≤ b) will be a- F(a) -- F(b) b- F(b)-- F(a) c-a-b d-f(b)-f(a) 4- If x is continous random variable with C.d.f, F(x),then f(x) = a- 1 b-F(x) c-M₂ (t) d-V(x) 5-The density function of random variables, X- Uniform (a,b) is equal's as xs b. (a) (b) = (c) — 2 b²-a²

3- If F(x) is the distribution function of random variable X, P(a ≤ x ≤ b) will be a- F(a) -- F(b) b- F(b)-- F(a) c-a-b d-f(b)-f(a) 4- If x is continous random variable with C.d.f, F(x),then f(x) = a- 1 b-F(x) c-M₂ (t) d-V(x) 5-The density function of random variables, X- Uniform (a,b) is equal's as xs b. (a) (b) = (c) — 2 b²-a²

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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A-Full in the blanks of the following: 3- If F(x) is the distribution function of random variable X, Pla SX ≤ b) will be a- F(a) - F(b) b- F(b)-- F(a) c-a-b d-f(b)-f(a) 4- If x is continous random variable with C.d.f, F(x),then f(x) = a- 1 b-F(x) c-M₂ (t) d-V(x) 5-The density function of random variables, X- Uniform (a,b) is equal's as xs b. (a) (b) (c); b²-a² bra
Transcribed Image Text:A-Full in the blanks of the following: 3- If F(x) is the distribution function of random variable X, Pla SX ≤ b) will be a- F(a) - F(b) b- F(b)-- F(a) c-a-b d-f(b)-f(a) 4- If x is continous random variable with C.d.f, F(x),then f(x) = a- 1 b-F(x) c-M₂ (t) d-V(x) 5-The density function of random variables, X- Uniform (a,b) is equal's as xs b. (a) (b) (c); b²-a² bra
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