What is the probability that, on a given day, Rooneys will receive at most two web-based enquiries for holiday packages?

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Understand the Problem

The question is asking to calculate the probability that Rooneys will receive at most two web-based enquiries in a day, given an average of five enquiries per day. This requires understanding of probability distribution, specifically the Poisson distribution.

Answer

$P(X \leq 2) \approx 0.1247$
Answer for screen readers

The probability that on a given day, Rooneys will receive at most two web-based enquiries is approximately $0.1247$.

Steps to Solve

  1. Identify the Poisson Distribution Parameters

In this problem, the average number of enquiries per day ($\lambda$) is 5. We need to calculate the probability of receiving at most 2 enquiries, which means we are looking for $P(X \leq 2)$.

  1. Use the Poisson Probability Formula

The probability of receiving $k$ enquiries is given by the formula:

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

Here, we will find $P(X = 0)$, $P(X = 1)$, and $P(X = 2)$.

  1. Calculate Each Probability

    • For $k = 0$: $$ P(X = 0) = \frac{e^{-5} 5^0}{0!} = e^{-5} $$

    • For $k = 1$: $$ P(X = 1) = \frac{e^{-5} 5^1}{1!} = 5e^{-5} $$

    • For $k = 2$: $$ P(X = 2) = \frac{e^{-5} 5^2}{2!} = \frac{25e^{-5}}{2} $$

  2. Sum the Probabilities

Now we find the total probability of receiving at most 2 enquiries:

$$ P(X \leq 2) = P(X = 0) + P(X = 1) + P(X = 2) $$ Substituting the results from above:

$$ P(X \leq 2) = e^{-5} + 5e^{-5} + \frac{25e^{-5}}{2} $$

  1. Calculate the Final Probability

Factor out $e^{-5}$:

$$ P(X \leq 2) = e^{-5} \left(1 + 5 + \frac{25}{2}\right) $$ $$ P(X \leq 2) = e^{-5} \left(\frac{2 + 10 + 25}{2}\right) = e^{-5} \frac{37}{2} $$

  1. Substituting Value of $e^{-5}$ and Calculate

Using the approximate value of $e^{-5} \approx 0.00674$:

$$ P(X \leq 2) \approx 0.00674 \cdot \frac{37}{2} \approx 0.1247 $$

The probability that on a given day, Rooneys will receive at most two web-based enquiries is approximately $0.1247$.

More Information

The Poisson distribution is commonly used in situations where we count the number of events happening in a fixed interval of time or space. This problem illustrates how to apply the Poisson probability formula and compute cumulative probabilities.

Tips

  • Failing to sum all relevant probabilities: Ensure all values up to the specified limit (in this case, $k=2$) are included.
  • Misunderstanding the factorial operation: Remember that $0! = 1$.
  • Using incorrect values for $e^{-\lambda}$ or calculations based on it.

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