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A and B Throw a Pair of Dice Alternately. a Wins the Game If He Gets a Total of 7 and B Wins the Game If He Gets a Total of 10. If a Starts the Game, Then Find the Probability that B Wins. - Mathematics

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Question

A and B throw a pair of dice alternately. A wins the game if he gets a total of 7 and B wins the game if he gets a total of 10. If A starts the game, then find the probability that B wins.

Sum

Solution

Total of 7 on the dice can be obtained in the following ways:
(1, 6), (6, 1), (2, 5), (5, 2), (3, 4), (4, 3)
Probability of getting a total of 7 =  \[\frac{6}{36} = \frac{1}{6}\] Probability of not getting a total of 7 = \[1 - \frac{1}{6} = \frac{5}{6}\] Total of 10 on the dice can be obtained in the following ways: (4, 6), (6, 4), (5, 5)
Probability of getting a total of 10 =  \[\frac{3}{36} = \frac{1}{12}\] Probability of not getting a total of 10 = \[1 - \frac{1}{12} = \frac{11}{12}\] Let E and F be the two events, defined as follows:
E = Getting a total of 7 in a single throw of a dice
F = Getting a total of 10 in a single throw of a dice
P(E) = \[\frac{1}{6}\] \[P\left( \bar{E} \right) = \frac{5}{6}\]  , P(F) = \[\frac{1}{12}\] \[P\left( \bar{F} \right) = \frac{11}{12}\] A wins if he gets a total of 7 in 1st, 3rd or 5th ... throws.
Probability of A getting a total of 7 in the 1st throw = \[\frac{1}{6}\] A will get the 3rd throw if he fails in the 1st throw and B fails in the 2nd throw.
Probability of A getting a total of 7 in the 3rd throw = \[P\left( \bar{E} \right) P\left( \bar{F} \right) P\left( E \right) = \frac{5}{6} \times \frac{11}{12} \times \frac{1}{6}\] Similarly, probability of getting a total of 7 in the 5th throw =

\[P\left( \bar{E} \right) P\left( \bar{F} \right) P\left( E \right) = \frac{5}{6} \times \frac{11}{12} \times \frac{1}{6}\]

\[P\left( \bar{E} \right) P\left( \bar{F} \right) P\left( \bar{E} \right) P\left( \bar{F} \right) P\left( E \right) = \frac{5}{6} \times \frac{11}{12} \times \frac{5}{6} \times \frac{11}{12} \times \frac{1}{6}\] and so on
Probability of winning of A = \[\frac{1}{6}\] + \[\left( \frac{5}{6} \times \frac{11}{12} \times \frac{1}{6} \right)\] +

\[\left( \frac{5}{6} \times \frac{11}{12} \times \frac{5}{6} \times \frac{11}{12} \times \frac{1}{6} \right) + . . .\]  \[= \frac{\frac{1}{6}}{1 - \frac{5}{6} \times \frac{11}{12}} = \frac{12}{17}\] 
∴ Probability of winning of B = 1 − Probability of winning of A = \[1 - \frac{12}{17} = \frac{5}{17}\]
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Probability Examples and Solutions
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Chapter 31: Probability - Exercise 31.5 [Page 70]

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RD Sharma Mathematics [English] Class 12
Chapter 31 Probability
Exercise 31.5 | Q 36 | Page 70

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