Carrillo Schmidt
07/18/2023 · Senior High School
a) Suppose that \( f(x)=e^{-(x-4)} \) for \( 4<x \). Determine the following probabilities i. \( P(1<X) \) ii. \( \quad P(2 \leq X \leq 5) \) iii. \( \quad P(5<X) \) iv. \( \quad \begin{array}{l}\text { Determine } x \text { such that } P(X<x)=0.90 \\ \text { v. }\end{array} \begin{array}{l}\text { Determine the cumulative distribution function for the distribution, } f(x)\end{array} \)
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**Simplified Answers:**
1. **i. \( P(1 < X) \)**
- Since \( X \) is only defined for \( x > 4 \), \( P(1 < X) = 1 \).
2. **ii. \( P(2 \leq X \leq 5) \)**
- \( P(2 \leq X \leq 5) = 1 - e^{-1} \approx 0.6321 \).
3. **iii. \( P(5 < X) \)**
- \( P(5 < X) = e^{-1} \approx 0.3679 \).
4. **iv. Determine \( x \) such that \( P(X < x) = 0.90 \)**
- \( x \approx 6.30 \).
5. **v. Cumulative Distribution Function (CDF) for \( f(x) \)**
\[
F(x) =
\begin{cases}
0, & \text{if } x < 4 \\
1 - e^{-(x - 4)}, & \text{if } x \geq 4
\end{cases}
\]
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