According to the multiplication rule, the total probability of two or more independent events is given by:
\({\bf{P}}\left( {{\bf{total}}} \right){\bf{ = P}}\left( {{{\bf{A}}_{\bf{1}}}} \right) \times {\bf{P}}\left( {{{\bf{A}}_{\bf{2}}}} \right) \times ... \times {\bf{P}}\left( {{{\bf{A}}_{\bf{n}}}} \right)\)
If two balanced dice are rolled, the sample space will consist\({6^2} = 36\)of outcomes.
The combinations that will result in a sum of 7 are:
\(\left( {1,6} \right),\left( {6,1} \right),\left( {2,5} \right),\left( {5,2} \right),\left( {3,4} \right),\left( {4,3} \right)\)
The number of possible outcomes that will result in a sum of 7 is 6.
So, the probability that the sum is 7 for the first roll is:
\(\begin{array}{c}P\left( {{A_1}} \right) = \frac{6}{{36}}\\ = \frac{1}{6}\end{array}\)
Similarly, for the second and third rolls, the probabilities are:
\(P\left( {{A_2}} \right) = P\left( {{A_3}} \right) = \frac{1}{6}\)
Thus, the probability that on each of the three rolls, the sum of the two numbers that appear will be 7 is:
\(\begin{aligned}{}P\left( {total} \right) &= P\left( {{A_1}} \right) \times P\left( {{A_2}} \right) \times P\left( {{A_3}} \right)\\ &= \frac{1}{6} \times \frac{1}{6} \times \frac{1}{6}\\ &= \frac{1}{{216}}\end{aligned}\)
Therefore, the required probability is \(\frac{1}{{216}}\) .