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
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
Please I want a handwritten solution, not printed
![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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa17faf72-fea6-4758-8535-f6489cc6abb4%2Fdefb9327-0f37-471f-b160-a56efcfc63c6%2F92tcie8_processed.jpeg&w=3840&q=75)
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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