Assume that X is a Poisson random variable with = 1.5. Calculate P (X1) Hint THE POISSON DISTRIBUTION For a Poisson random variable X, the probability of x successes over a given interval of time or space is O 0.3347 O 0.2510 P(X=X)= for x = 0, 1, 2, ..., where is the mean number of successes and e≈ 2.718 is the base of the natural logarithm. O 0.4422 e

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### Poisson Distribution Problem

**Problem Statement:**
Assume that \( X \) is a Poisson random variable with \( \mu = 1.5 \).

Calculate \( P(X - 1) \).

**Hint:**

#### The Poisson Distribution

For a Poisson random variable \( X \), the probability of \( x \) successes over a given interval of time or space is:

\[
P(X = x) = \frac{e^{-\mu} \mu^x}{x!}
\]

for \( x = 0, 1, 2, \ldots \), where \( \mu \) is the mean number of successes and \( e \approx 2.718 \) is the base of the natural logarithm.

**Answer Options:**

- \( 0.3347 \)
- \( 0.2510 \)
- \( 0.4422 \)
Transcribed Image Text:### Poisson Distribution Problem **Problem Statement:** Assume that \( X \) is a Poisson random variable with \( \mu = 1.5 \). Calculate \( P(X - 1) \). **Hint:** #### The Poisson Distribution For a Poisson random variable \( X \), the probability of \( x \) successes over a given interval of time or space is: \[ P(X = x) = \frac{e^{-\mu} \mu^x}{x!} \] for \( x = 0, 1, 2, \ldots \), where \( \mu \) is the mean number of successes and \( e \approx 2.718 \) is the base of the natural logarithm. **Answer Options:** - \( 0.3347 \) - \( 0.2510 \) - \( 0.4422 \)
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