Let

denote the event that a child has an allowance, and

that a child does chores.
The definition of conditional probability says that

Assuming the events are independent, you could expand the numerator as

. Otherwise, you would need to know that exact probability.
You're given that

, while

.
So, the desired conditional probability is
