I am trying to solve the following question:
If the number of calls received per hour by an answering service is a Poisson random variable with rate of 6 calls per hour, what is the probability of waiting more than 15 minutes between two successive calls?
My understanding of this question is that it's asking what's the probability that there is $0$ call in $15$ min. Therefore, for the Poisson parameter, $\lambda t = 3/2 $ where $t = 0.25$.
Based on the Poisson distribution formula $p(X=x) = \lambda^x \frac{\Large e^{-\lambda}}{x!} $,
the probability that zero call arrives in the next 15 minutes is $p(X = 0) ={(3/2)^0 \frac{\Large e^{-3/2}}{0!}}$ which is ${ e^{-3/2}}$
Is this the correct way of doing it? I have been searching similar questions online and I found someone's answer on reddit using exponential distribution and I dont know if that's correct because the answer is different from mine.
Your answer with the Poisson distribution is correct. For completeness the anwer with the exponential distribution.
Let $X\sim Exp(\lambda$) with the information that that 6 calls arrived in one hour. The we expect the first call in 10 minutes and we have $$10 = \mathrm{E}[X]=\frac{1}{\lambda}\Rightarrow \lambda = \frac{1}{10}$$
So the probability of waiting more than 15 minutes is
$$P(X>15) = 1- P(X\leq 15) = 1-\left(1-\mathrm{e}^{-15\lambda}\right) = 1-\left(1-\mathrm{e}^{-\frac{15}{10}}\right)=\mathrm{e}^{-\frac{3}{2}}$$