3. Consider a Exponential Distribution with parameter of 0.0025 i.e. Exp(0.0025) B. Compute the following Probabilities V. P(x > 100 x < 500) VI.P( x < 500 | x > 100 ) C. Explain why the last 2 answers are different

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---

### Exponential Distribution Analysis

#### Problem Statement

3. **Consider an Exponential Distribution with parameter of 0.0025**, i.e., Exp(0.0025)

#### Task

B. Compute the following probabilities:

- **V.** \( P(x > 100 \mid x < 500) \)
- **VI.** \( P(x < 500 \mid x > 100) \)

C. Explain why the last two answers are different.

--- 

This task involves using the properties of exponential distributions to calculate conditional probabilities. In the context of exponential distributions, the memoryless property is significant, which may affect how some probabilities are perceived differently in conditions V and VI.
Transcribed Image Text:Certainly! Here's a transcription suitable for an educational website: --- ### Exponential Distribution Analysis #### Problem Statement 3. **Consider an Exponential Distribution with parameter of 0.0025**, i.e., Exp(0.0025) #### Task B. Compute the following probabilities: - **V.** \( P(x > 100 \mid x < 500) \) - **VI.** \( P(x < 500 \mid x > 100) \) C. Explain why the last two answers are different. --- This task involves using the properties of exponential distributions to calculate conditional probabilities. In the context of exponential distributions, the memoryless property is significant, which may affect how some probabilities are perceived differently in conditions V and VI.
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