Suppose that the number of patients admitted into a hospital emergency room during a certain hour of the day has a Poisson distribution with mean 3. Find the probability that durin... Suppose that the number of patients admitted into a hospital emergency room during a certain hour of the day has a Poisson distribution with mean 3. Find the probability that during that hour there will be exactly two emergency patients. Assume that e^(-3) = 0.05.

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Understand the Problem

The question asks to calculate the probability of exactly two patients being admitted to a hospital emergency room during a certain hour, given that the number of patients follows a Poisson distribution with a mean of 3, and provided that e^(-3) = 0.05. This requires applying the Poisson probability formula.

Answer

$0.225$
Answer for screen readers

$0.225$

Steps to Solve

  1. Recall the Poisson Probability Formula

    The Poisson probability formula is given by:

    $P(x) = \frac{\lambda^x e^{-\lambda}}{x!}$

    where:

    • $P(x)$ is the probability of $x$ events occurring.
    • $\lambda$ is the average rate of events (in this case, the mean number of patients admitted).
    • $e$ is the base of the natural logarithm (approximately 2.71828).
    • $x!$ is the factorial of $x$.
  2. Identify Given Values

    From the problem statement, we have:

    • $\lambda = 3$ (the mean number of patients)
    • $x = 2$ (we want to find the probability of exactly 2 patients)
    • $e^{-3} = 0.05$ (given)
  3. Apply the Formula

    Plug the values into the Poisson formula:

    $P(2) = \frac{3^2 \cdot e^{-3}}{2!}$

  4. Calculate the Probability

    Substitute the given value of $e^{-3}$ and simplify:

    $P(2) = \frac{3^2 \cdot 0.05}{2!}$

    $P(2) = \frac{9 \cdot 0.05}{2}$

    $P(2) = \frac{0.45}{2}$

    $P(2) = 0.225$

$0.225$

More Information

The Poisson distribution is commonly used to model the number of events occurring within a fixed interval of time or space, especially when the events occur independently and with a constant average rate.

Tips

A common mistake is misremembering or misapplying the Poisson formula. Ensure you correctly substitute the values for lambda, $x$, and $e^{-\lambda}$, another common mistake is not calculating the factorial properly.

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