# Mean and Variance from a Cumulative Distribution Function

I'm trying to find the mean (expected value) and variance for the following distribution function:

$F(x)=\begin{cases} 0 & \text{for } x \lt 0\\ x/4 & \text{for } 0 \le x \lt 1\\ x^2/4 & \text{for } 1 \le x \lt 2\\ 1 & \text{for } x \ge 2\\ \end{cases}$

First I got the probability density function by differentiating

$f(x)=\begin{cases} 0 & \text{for } x \lt 0\\ 1/4 & \text{for } 0 \le x \lt 1\\ x/2 & \text{for } 1 \le x \lt 2\\ 0 & \text{for } x \ge 2\\ \end{cases}$

Which I simplified as

$f(x)=\begin{cases} 1/4 & \text{for } 0 \le x \lt 1\\ x/2 & \text{for } 1 \le x \lt 2\\ 0 & \text{elsewhere}\\ \end{cases}$

Now I need to find the mean (expected value) and variance. I know that

$E(X)=\int xf(x)\,dx.$

Except I am not sure how I would calculate this as one value due to the function being in multiple parts. Any help is appreciated - Thank You!

$$\mathbb{E}(X) = \int x f(x) dx = \int_0^1 \frac{1}{4}x dx + \int_1^2 \frac{x^2}{2}dx = \frac{1}{8} + \frac{7}{6} = \frac{31}{24}.$$
Calculating the variance can be done using $Var(X) = \mathbb{E}(X^2)-\mathbb{E}(X)^2$.
$$\mathbb{E}(X^2) = \int x^2 f(x) dx = \frac{47}{24}$$ So the variance is equal to: $$Var(X) = \frac{47}{24} - \left(\frac{31}{24}\right)^2 \approx 0.29.$$