The given information can be summarised as:
\(\begin{array}{l}P\left( A \right) = 0.60\\P\left( B \right) = 0.40\\P\left( C \right) = 0.30\end{array}\)
And,
\(\begin{array}{l}P\left( {A \cap B} \right) = 0.20\\P\left( {A \cap C} \right) = 0.10\\P\left( {B \cap C} \right) = 0.20\\P\left( {A \cap B \cap C} \right) = 0.05\end{array}\)
The conditional probability for an event A given B has already occurred is given by:
\(P\left( {A|B} \right) = \frac{{P\left( {A \cap B} \right)}}{{P\left( B \right)}};P\left( B \right) > 0\)
Thus, for the case, if a family selected at random from the city subscribes to newspaper A, the probability that the family also subscribes to newspaper B is\(P\left( {B|A} \right)\), and is obtained as:
\(\begin{aligned}{}P\left( {B|A} \right) &= \frac{{P\left( {B \cap A} \right)}}{{P\left( A \right)}}\\ &= \frac{{0.20}}{{0.60}}\\ &= \frac{1}{3}\end{aligned}\)
Therefore, the required probability is \(\frac{1}{3}\) .