Answer:
b)

c) 0.0156
Explanation:
Let's call X : '' Particle size (in micrometers) ''
X is a random variable
The distribution function for X is :

For x > 1
f(x) = 0, elsewhere
For a) the condition for f(x) to be a valid density function is that
the integral between -∞ and ∞ of f(x) must be equal to 1.
For the integral I change ∞ for j so ∞ = j
Also for the integral I change -∞ for k so k = -∞



Then f(x) is a valid density function
b) To find F(x) we must integrate between -∞ and x the function f(t)
We calculate f(t) changing x by t in the f(x) function

Now we integrate


c) P(X>4)
P(X>4) = 1 - P(X≤4)
P(X>4) = 1 - F(4)
