What is the probability that, on a given day, Rooneys will receive at most two web-based enquiries for holiday packages? What is the probability that the travel agency will receive... What is the probability that, on a given day, Rooneys will receive at most two web-based enquiries for holiday packages? What is the probability that the travel agency will receive more than two web-based enquiries for travel packages on a given day?
Understand the Problem
The question is asking about calculating probabilities related to the number of web-based enquiries received by Rooneys Travel and Tours. Part (a) asks for the probability of receiving at most two enquiries, while part (b) asks for the probability of receiving more than two enquiries on a given day.
Answer
Part (a): $P(X \leq 2) \approx 0.1131$; Part (b): $P(X > 2) \approx 0.8869$
Answer for screen readers
Part (a): $P(X \leq 2) \approx 0.1131$
Part (b): $P(X > 2) \approx 0.8869$
Steps to Solve
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Identify the Distribution Type Rooneys Travel and Tours receives an average of five enquiries per day. This suggests a Poisson distribution with a mean ($\lambda$) of 5.
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Calculate the Probability for Part (a) To find the probability of receiving at most 2 enquiries, we calculate the sum of the probabilities for receiving 0, 1, and 2 enquiries using the Poisson probability formula:
$$ P(X = k) = \frac{\lambda^k e^{-\lambda}}{k!} $$
For $k = 0, 1, 2$:
- $P(X = 0) = \frac{5^0 e^{-5}}{0!} = e^{-5}$
- $P(X = 1) = \frac{5^1 e^{-5}}{1!} = 5 e^{-5}$
- $P(X = 2) = \frac{5^2 e^{-5}}{2!} = \frac{25 e^{-5}}{2}$
Now, sum these probabilities:
$$ P(X \leq 2) = P(X = 0) + P(X = 1) + P(X = 2) $$
- Calculate the Total for Part (a) Compute:
$$ P(X \leq 2) = e^{-5} + 5 e^{-5} + \frac{25 e^{-5}}{2} $$
Combine:
$$ P(X \leq 2) = e^{-5} \left(1 + 5 + \frac{25}{2}\right) = e^{-5} \left(\frac{32}{2}\right) = 16 e^{-5} $$
- Calculate the Probability for Part (b) To find the probability of receiving more than 2 enquiries, we can use the complement:
$$ P(X > 2) = 1 - P(X \leq 2) $$
Therefore, substitute the result from part (a):
$$ P(X > 2) = 1 - 16 e^{-5} $$
- Summarize the Results Both results will need numerical evaluation of $e^{-5}$, which is approximately 0.00674.
Thus:
- For Part (a): Plug into the equation to find $P(X \leq 2)$.
- For Part (b): Subtract this from 1 to find $P(X > 2)$.
Part (a): $P(X \leq 2) \approx 0.1131$
Part (b): $P(X > 2) \approx 0.8869$
More Information
The Poisson distribution is commonly applied in situations where events occur randomly over a given interval of time or space, such as the number of customer inquiries received per day.
Tips
- Forgetting to use the correct Poisson formula for each probability.
- Miscalculating the sum of probabilities in part (a).
- Confusing between $P(X > k)$ and $P(X \leq k)$, which can lead to wrong conclusions.
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