Answer:
Explanation:
To find the probability density function (PDF) from the given cumulative distribution function (CDF), we need to take the derivative of the CDF with respect to x.
Given CDF:
F(x) = -0.25 + 0.361 ln(3x + 2) - 0.25 for 0 <= x <= 10
Step 1: Take the derivative of the CDF with respect to x:
f(x) = d/dx [F(x)]
Step 2: Find the PDF f(x) for 0 <= x <= 10.
For 0 <= x <= 10, the CDF F(x) is given by:
F(x) = -0.25 + 0.361 ln(3x + 2) - 0.25
Now, take the derivative of F(x) with respect to x to find the PDF f(x):
f(x) = d/dx [-0.25 + 0.361 ln(3x + 2) - 0.25]
Step 3: Simplify the derivative:
f(x) = 0 + 0.361 * d/dx [ln(3x + 2)] - 0
The derivative of ln(3x + 2) with respect to x is:
d/dx [ln(3x + 2)] = 1 / (3x + 2) * d/dx [3x + 2] = 1 / (3x + 2) * 3
f(x) = 0.361 * 3 / (3x + 2) = 1.083 / (3x + 2)
So, the probability density function (PDF) of the random variable X is given by:
f(x) = 1.083 / (3x + 2) for 0 <= x <= 10.