Conditional Probability of Poisson distribution

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I am currently studying the Poisson distribution, and I am wondering whether the following calculation is possible:

Let $X$ represent the number of people who visit the airport in 1 hour and let $X$ follow a Poisson distribution with a mean of $10$.

Given that 5 people have visited the airport in the first 30 minutes, what is the probability of an additional 10 or more people visiting in the remaining hour?

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The Poisson process is based on independent events with a constant (mean) rate per unit of time and is "memoryless". This means that if the process has mean 10 per hour, it has mean 5 per half hour. So you are really just looking for $P(\geq 10)$ from a Poisson distribution with mean 5.