Suppose a continuous random variable X has a probability density function given by f(x) = kx²(1 – x) for 0 s x s1 and 0 otherwise. (a) Find the value of k that makes f(x) a probability density function. (b) Find the c.d.f. F (b) = P (X s b). (Hint: Remember that the c.d.f. is defined over the entire real line.) (c) Find P(0.20 s X|X < 0.50).

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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This is a Statistics problem. Please explain each step thoroughly and code in R, if needed. 

Suppose a continuous random variable X has a probability density function given by f(x) = kx (1 - x) for 0 s x
<1 and 0 otherwise.
%3D
(a) Find the value of k that makes f(x) a probability density function.
(b) Find the c.d.f. F (b) = P (X s b). (Hint: Remember that the çd.f. is defined over the entire real line.)
(c) Find P(0.20 s X|X < 0.50).
(d) Calculate E[X] and V (X).
Transcribed Image Text:Suppose a continuous random variable X has a probability density function given by f(x) = kx (1 - x) for 0 s x <1 and 0 otherwise. %3D (a) Find the value of k that makes f(x) a probability density function. (b) Find the c.d.f. F (b) = P (X s b). (Hint: Remember that the çd.f. is defined over the entire real line.) (c) Find P(0.20 s X|X < 0.50). (d) Calculate E[X] and V (X).
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