Final answer:
To calculate the probability of catching exactly one salmon and two trout in 2.5 hours, we can use the Poisson distribution. The average rate of fish caught per hour is 2, so the average number of fish caught in 2.5 hours is 5. The probability of catching exactly one salmon and two trout can be calculated using the Poisson distribution formula.
Step-by-step explanation:
To calculate the probability of catching exactly one salmon and two trout in 2.5 hours, we need to use the Poisson distribution. The Poisson distribution is used to model the number of events that occur within a fixed interval of time or space, given a known average rate.
The average rate of fish caught per hour is 2, which means that on average, Ellen catches 2 fish per hour. Therefore, the average number of fish caught in 2.5 hours is 2 * 2.5 = 5 fish.
The probability of catching exactly one salmon and two trout can be calculated using the Poisson distribution formula:
P(x) = (e^-λ * λ^x) / x!
where λ is the average rate and x is the number of events.
In this case, λ = 5 and x = 1 (for the salmon) and x = 2 (for the trout).
So, the probability of catching exactly one salmon and two trout in 2.5 hours is:
P(1 salmon and 2 trout) = (e^-5 * 5^1) / 1! * (e^-5 * 5^2) / 2!
Simplifying the equation gives:
P(1 salmon and 2 trout) = (e^-5 * 5 * 10) / 1 * (e^-5 * 5^2 * 10) / 2
P(1 salmon and 2 trout) = (0.00674 * 50) / 1 * (0.00674 * 25) / 2
P(1 salmon and 2 trout) = 0.337 / 2.684
P(1 salmon and 2 trout) ≈ 0.1256 or 12.56%