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To find the probability that the company will have enough kayaks on any given day, we need to calculate the probability of having at least 42 kayaks available.
Let's assume the number of kayaks available follows a Poisson distribution with a mean of 42.
Using the Poisson probability formula:
P(x ≥ 42) = 1 - P(x < 42)
P(x < 42) = Σ(e^(-42) * (42^k) / k!)
where k ranges from 0 to 41.
Calculating the Poisson probability:
P(x < 42) ≈ Σ(e^(-42) * (42^k) / k!) from k=0 to 41
P(x < 42) ≈ Σ(e^(-42) * (42^k) / k!) from k=0 to 41 = 0.889
Therefore, the probability of having enough kayaks on any given day is:
P(x ≥ 42) = 1 - P(x < 42) = 1 - 0.889 = 0.111
Rounded to the nearest tenth, the probability of having enough kayaks on any given day is approximately 0.1 or 10.1%.