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If three balanced dice are rolled, what is the probability that all three numbers will be the same?

Short Answer

Expert verified

If three balanced dice are rolled, the probability that all three numbers will be the same is \(\frac{1}{{36}}\) .

Step by step solution

01

Given information

Three balanced dice are rolled.

02

Computing the required Probability

Rolling die results in 6 possible outcomes.

So, rolling three balanced dice results in\({6^3} = 216\)possible outcomes.

The possible combinations showing all the three numbers will be the same are:

\(\left( {1,1,1} \right),\left( {2,2,2} \right),\left( {3,3,3} \right),\left( {4,4,4} \right),\left( {5,5,5} \right),\left( {6,6,6} \right)\)

That is, the possible number of outcomes showing all the three numbers will be the same = 6 outcomes.

According to the classical definition of Probability, the Probability of any event E is given by:

\({\bf{P}}\left( {\bf{E}} \right){\bf{ = }}\frac{{{\bf{Number of favorable outcomes}}}}{{{\bf{Total number of outcomes}}}}\)

So, the Probability that all three numbers will be the same is obtained as:

\(\begin{aligned}{}P\left( {{\rm{all three numbers are same}}} \right) = \frac{6}{{216}}\\ = \frac{1}{{36}}\end{aligned}\)

Therefore, the required Probability is\(\frac{1}{{36}}\).

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Most popular questions from this chapter

Suppose that a balanced die is rolled three times, and let\({X_i}\)denote the number that appears on the ith roll (i = 1, 2, 3). Evaluate\({\rm P}\left( {{X_1} > {X_2} > X3} \right)\).

Suppose that three red balls and three white balls are thrown at random into three boxes and and that all throws are independent. What is the probability that each box contains one red ball and one white ball?

Suppose that a box contains five coins and that for each coin there is a different probability that a head will be obtained when the coin is tossed. Let \({{\bf{p}}_{\bf{i}}}\)denote the probability of a head when theith coin is tossed \({\bf{i = }}\left( {{\bf{1, \ldots ,5}}} \right)\) and suppose that \({{\bf{p}}_{\bf{1}}}{\bf{ = 0}}\),\({{\bf{p}}_{\bf{2}}}{\bf{ = }}\frac{{\bf{1}}}{{\bf{4}}}\) ,\({{\bf{p}}_{\bf{3}}}{\bf{ = }}\frac{{\bf{1}}}{{\bf{2}}}\) ,\({{\bf{p}}_{\bf{4}}}{\bf{ = }}\frac{{\bf{3}}}{{\bf{4}}}\) , and \({{\bf{p}}_{\bf{5}}}{\bf{ = 1}}\).

  1. Suppose that one coin is selected at random from the box and when it is tossed once, a head is obtained. What is the posterior probability that theith coin was selected \({\bf{i = }}\left( {{\bf{1, \ldots ,5}}} \right)\)?
  2. If the same coin were tossed again, what would be the probability of obtaining another head?
  3. If a tail had been obtained on the first toss of the selected coin and the same coin were tossed again, what would be the probability of obtaining a head on the second toss?

Consider the World Series of baseball, as described in Exercise 16 of Sec. 2.2. If there is probability p that team A will win any particular game, what is the probability that it will be necessary to play seven games in order to determine the winner of the Series?

Suppose a person rolls two balanced dice twice in succession. Determine the probability that the sum of the two numbers that appear on each of the three rolls will be 7.

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