So, the probability, that event $B$ occurs is $\frac{1}{2}\cdot \frac{1}{2}=\frac{1}{4}$. Probability that $A$ occurs is $\frac{1}{9}$. Probability that $B$ occurs when $A$ has occurred is $P(B \mid A)=\frac{1}{10}$. Then
$$P(A \mid B)=\frac{P(B\mid A) P(A)}{P(B)}=\frac{\frac{1}{10}\cdot \frac{5}{18}}{\frac{1}{4}}=\frac{20}{180}=\frac{1}{9}.$$
My question, is, first, if I need to show that these two events are not independent, do I do it just by showing that $P(A \mid B) \neq P(A)$? Then, I partly computed all the probability just by drawing a table, Because if I wanted to calculate $P(B \mid A)$, I would again need $P(A \mid B)$. Is there a way to calculate $P(B \mid A)$ in a more analytical way, than just by drawing? The same goes with the event $A$ itself, because it is not independent, so I just need to sum all the cases where the sums of the two dice are less than 6.
hint...it would be easier to use $$p(A\mid B) = \frac{p(A\cap B)}{p(B)}$$