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Probability question

2016 · Shift 2 · Q24
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  5. /2016 · Shift 2 · Q24

Probability question

2016 · Shift 2 · Q24

JEE AdvancedMathematicsProbabilityMCQ+3 / −1
Football teams T1{T_1}T1​ and T2{T_2}T2​ have to play two games against each other. It is assumed that the outcomes of the two games are independent. The probabilities of T1{T_1}T1​ winning, drawing and losing a game against T2{T_2}T2​ are 12,16{1 \over 2},{1 \over 6}21​,61​ and 13{1 \over 3}31​ respectively. Each team gets 333 points for a win, 111 point for a draw and 000 point for a loss in a game. Let XXX and YYY denote the total points scored by teams T1{T_1}T1​ and T2{T_2}T2​ respectively after two games.     P (X>Y)\,\,\,\,P\,\left( {X \gt Y} \right)P(X>Y) is
  1. A
    14{1 \over 4}41​
  2. B
    512{5 \over 12}125​
  3. C
    12{1 \over 2}21​
  4. D
    712{7 \over 12}127​
View written solutionFree

Correct answer: B

  1. Points in one game

Let us write the points of (T1,T2)(T_1,T_2)(T1​,T2​) in one game:

  • If T1T_1T1​ wins: probability 12\dfrac1221​, points (3,0)(3,0)(3,0)
  • If draw: probability 16\dfrac1661​, points (1,1)(1,1)(1,1)
  • If T1T_1T1​ loses: probability 13\dfrac1331​, points (0,3)(0,3)(0,3)

The two games are independent.

We need P(X>Y),P(X>Y),P(X>Y), where X,YX,YX,Y are total points after two games.


  1. Compare total points via point difference

Define the difference in one game as D=(points of T1)−(points of T2).D = (\text{points of }T_1) - (\text{points of }T_2).D=(points of T1​)−(points of T2​). Then for one game:

  • Win ⇒D=3\Rightarrow D=3⇒D=3 with probability 12\dfrac1221​
  • Draw ⇒D=0\Rightarrow D=0⇒D=0 with probability 16\dfrac1661​
  • Loss ⇒D=−3\Rightarrow D=-3⇒D=−3 with probability 13\dfrac1331​

After two games, let total difference be Dtotal=X−Y.D_{\text{total}} = X-Y.Dtotal​=X−Y. We want P(X>Y)=P(Dtotal>0).P(X>Y)=P(D_{\text{total}}>0).P(X>Y)=P(Dtotal​>0).

Since each game contributes 3,0,−33,0,-33,0,−3, divide by 333 and consider values 1,0,−11,0,-11,0,−1 instead. Let per-game reduced difference be ZZZ:

  • Z=1Z=1Z=1 with probability 12\dfrac1221​
  • Z=0Z=0Z=0 with probability 16\dfrac1661​
  • Z=−1Z=-1Z=−1 with probability 13\dfrac1331​

For two games, we need P(Z1+Z2>0).P(Z_1+Z_2>0).P(Z1​+Z2​>0).


  1. List favorable cases

Possible pairs (Z1,Z2)(Z_1,Z_2)(Z1​,Z2​) giving positive sum:

  • (1,1)(1,1)(1,1) gives sum 222
  • (1,0)(1,0)(1,0) gives sum 111
  • (0,1)(0,1)(0,1) gives sum 111

Cases like (1,−1)(1,-1)(1,−1) or (−1,1)(-1,1)(−1,1) give 000, so they are not included.

Thus, P(X>Y)=P(1,1)+P(1,0)+P(0,1).P(X>Y)=P(1,1)+P(1,0)+P(0,1).P(X>Y)=P(1,1)+P(1,0)+P(0,1).

Using independence,

P(1,1)=12⋅12=14,P(1,1)=\frac12\cdot\frac12=\frac14,P(1,1)=21​⋅21​=41​, P(1,0)=12⋅16=112,P(1,0)=\frac12\cdot\frac16=\frac{1}{12},P(1,0)=21​⋅61​=121​, P(0,1)=16⋅12=112.P(0,1)=\frac16\cdot\frac12=\frac{1}{12}.P(0,1)=61​⋅21​=121​.

So,

Now, 14=312,\frac14=\frac{3}{12},41​=123​, therefore P(X>Y)=312+112+112=512.P(X>Y)=\frac{3}{12}+\frac{1}{12}+\frac{1}{12}=\frac{5}{12}.P(X>Y)=123​+121​+121​=125​.


  1. Check with options

512\frac{5}{12}125​ corresponds to Option B.


  1. Comparison with stored answer

Stored correct answer: B

Our derived answer is also B.

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