A store has customers arrive according to a Poisson process with $\lambda=30$
where $p_1 = P($item $A$ ordered $)= {1\over 12}$
$p_2 = P($item $B$ ordered $)= {1\over 24}$
$p_3 = P($ $A$ and $B$ ordered$)= {e^{10-2t}\over 8} $
$p_4 = 1-p_1-p_2-p_3$
What is the probability that the store has 15 orders of item $A$ only over $t\in [10,15]$?
same as 1. but for any order with item A
(My only insight is that this is some kind of Poisson thinning process?)
Attempt at 1.
Let $(N_A(t), t\geq 0)$ be the Poisson process of the number of item $A$ ordered, with rate $\lambda_A = \lambda p_1={30\over 12} $
$\displaystyle P(N_A(10,15]=15)=\frac{(5\lambda_A)^{15}e^{-5\lambda_A}}{15!}$
Hint:
If you only count the customers that order item A then you are dealing with a Poisson process with rate $\frac{30}{12}$.