Let X be a continuous random variable with pdf: f(x) = ax^2 −
2ax, 0 ≤ x ≤ 2
(a) What should a be in order for this to be a legitimate
p.d.f?
(b) What is the distribution function (c.d.f.) for X?
(c) What is Pr(0 ≤ X < 1)? Pr(X > 0.5)? Pr(X > 3)?
(d) What is the 90th percentile value of this distribution?
(Note: If you do this problem correctly, you will end up with a
cubic...
The random variable X has a continuous distribution with density
f, where f(x) ={x/2−5i f10≤x≤12 ,0 otherwise.
(a) Determine the cumulative distribution function of X.(1p)
(b) Calculate the mean of X.(1p)
(c) Calculate the mode of X(point where density attains its
maximum)
(d) Calculate the median of X, i.e. a number m such that P(X≤m)
= 1/2
(e) Calculate the mean of the random variable Y= 12−X
(f) Calculate P(X^2<121)
Consider the function f(x)f(x) whose second derivative is
f''(x)=5x+10sin(x)f′′(x)=5x+10sin(x). If f(0)=4f(0)=4 and
f'(0)=4f′(0)=4, what is f(5)f(5)?. show work
A continuous random variable X, has the density function f(x)
=((6/5)(x^2)) , 0 ≤ x ≤ 1; (6/5) (2 − x), 1 ≤ x ≤ 2; 0, elsewhere.
(a) Verify f(x) is a valid density function. (b) Find P(X > 3 2
), P(−1 ≤ X ≤ 1). (c) Compute the cumulative distribution function
F(x) of X. (d) Compute E(3X − 1), E(X2 + 1) and σX.
Let X and Y be continuous random variables with joint pdf
f(x, y) = kxy^2 0 < x, 0 < y, x
+ y < 2
and 0 otherwise
1) Find P[X ≥ 1|Y ≤ 1.5]
2) Find P[X ≥ 0.5|Y ≤ 1]