1. **Problem (a):** Find the cumulative distribution function (CDF) values for $F(x) = \frac{1}{16} \left( \frac{4}{x} \right)$ at $x=0,1,2,3,4$.
2. **Important note:** The function $F(x) = \frac{1}{16} \left( \frac{4}{x} \right)$ is undefined at $x=0$ because division by zero is not allowed.
3. Calculate each value where defined:
- $F(1) = \frac{1}{16} \times \frac{4}{1} = \frac{4}{16} = \frac{1}{4}$
- $F(2) = \frac{1}{16} \times \frac{4}{2} = \frac{1}{8}$
- $F(3) = \frac{1}{16} \times \frac{4}{3} = \frac{1}{12}$
- $F(4) = \frac{1}{16} \times \frac{4}{4} = \frac{1}{16}$
4. Since $F(0)$ is undefined, we state it as such.
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5. **Problem (b):** Given the density function
$$f(x) = \begin{cases} \frac{x^2}{3} & -1 < x < 2 \\ 0 & \text{elsewhere} \end{cases}$$
Find the cumulative distribution function $F(x)$ and evaluate $P(0 < X \leq 1)$.
6. The CDF $F(x)$ is the integral of the density function from the lower limit up to $x$:
$$F(x) = \int_{-1}^x \frac{t^2}{3} dt = \frac{1}{3} \int_{-1}^x t^2 dt = \frac{1}{3} \left[ \frac{t^3}{3} \right]_{-1}^x = \frac{1}{9} (x^3 - (-1)^3) = \frac{1}{9} (x^3 + 1)$$
for $-1 < x < 2$.
7. For $x \leq -1$, $F(x) = 0$ and for $x \geq 2$, $F(x) = 1$ (since total probability is 1).
8. To find $P(0 < X \leq 1)$, compute:
$$P(0 < X \leq 1) = F(1) - F(0) = \frac{1}{9} (1^3 + 1) - \frac{1}{9} (0^3 + 1) = \frac{1}{9} (2) - \frac{1}{9} (1) = \frac{1}{9}$$
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**Final answers:**
- (a) $F(0)$ undefined, $F(1) = \frac{1}{4}$, $F(2) = \frac{1}{8}$, $F(3) = \frac{1}{12}$, $F(4) = \frac{1}{16}$
- (b) $F(x) = 0$ for $x \leq -1$, $F(x) = \frac{1}{9} (x^3 + 1)$ for $-1 < x < 2$, $F(x) = 1$ for $x \geq 2$, and $P(0 < X \leq 1) = \frac{1}{9}$
Cdf Density Functions 238E60
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