Final answer:
The cdf of the continuous random variable X is given. The probabilities P(X ≤ 2) and P(2 ≤ X ≤ 5) are calculated using the cdf. The pdf of X is obtained by differentiating the cdf.
Step-by-step explanation:
The given cdf for the continuous random variable X can be written as:
(a) To find P(X ≤ 2), we can substitute x = 2 into the cdf expression:
F(2) = 0 for x ≤ 7
F(2) = 1 for x > 7
Therefore, P(X ≤ 2) = 0.6436 (rounded to three decimal places).
(b) To find P(2 ≤ X ≤ 5), we can subtract the cdf values at x = 2 and x = 5:
P(2 ≤ X ≤ 5) = F(5) - F(2)
P(2 ≤ X ≤ 5) = 1 - 0.6436 = 0.3564 (rounded to three decimal places).
(c) To find the pdf of X, we can differentiate the cdf:
f(x) = d/dx F(x)
Since the cdf has a jump at x = 7, the pdf f(x) will have a Dirac delta function at x = 7, denoted as δ(x - 7). The pdf will be zero for all other values of x. Therefore, the pdf of X is:
f(x) = δ(x - 7)