Final answer:
In this question, we verify that f(x) is a density function, calculate probabilities for the given random variable X, find the cumulative distribution function, calculate the expected value and variance, and determine the probability density function.
Step-by-step explanation:
To verify that f(x) is a density function, we need to check two conditions:
- For any x, f(x) is greater than or equal to 0.
- The integral of f(x) over the entire range is equal to 1.
a) The first condition is satisfied since 3e^(-3x) is always positive for x > 0.
b) To calculate P(-1 < X < 1), we integrate f(x) from -1 to 1:
P(-1 < X < 1) = ∫(from -1 to 1) 3e^(-3x) dx
= [-e^(-3x)](from -1 to 1) = -e^(-3)+e^3
c) To calculate P(X < 5), we integrate f(x) from 0 to 5:
P(X < 5) = ∫(from 0 to 5) 3e^(-3x) dx
= [-e^(-3x)](from 0 to 5) = -e^(-15)+1
d) To calculate P(2 < X < 4 | X < 5), we need to find the conditional probability:
P(2 < X < 4 | X < 5) = P(2 < X < 4 and X < 5) / P(X < 5)
We calculate the numerator and denominator separately:
- Numerator: ∫(from 2 to 4) 3e^(-3x) dx = [-e^(-3x)](from 2 to 4) = -e^(-12)+e^(-6)
- Denominator: P(X < 5) = -e^(-15)+1
Therefore, P(2 < X < 4 | X < 5) = (-e^(-12)+e^(-6))/(-e^(-15)+1)