Alternating Coin And Dice Tossing

Shahid alternates between tossing a fair coin and throwing a fair dice, until he gets a head on the coin or a 4 or 6 on the dice.

What is the probability that he ends with tossing the coin?

Clarification- He starts his experiment with tossing coin.


The answer is 0.75.

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3 solutions

Eli Ross Staff
May 20, 2016

Let p p be the probability that he ends with the coin. He can succeed on the first flip (1/2) or he can fail but also fail on the coin (1/2 x 2/3 = 1/3) in which case we're just back to the beginning! Thus, p = 1 2 + 1 3 p , p = \frac{1}{2} + \frac{1}{3}p, so p = 3 4 . p=\frac{3}{4}.

Loved it!

Rushikesh Jogdand - 5 years ago

Just Amazing Question But I Nailed It...

sayantan mondal - 3 years, 3 months ago
Rushikesh Jogdand
Mar 21, 2016

probability of him getting head on coin in first throw = 1 2 \text{probability of him getting head on coin in first throw}=\frac{1}{2} probability of him getting head on coin in second throw = ( 1 2 × 4 6 ) × 1 2 \text{probability of him getting head on coin in second throw}=\left(\frac{1}{2}\times \frac{4}{6}\right)\times \frac{1}{2}

probability of him getting head on coin in third throw = ( 1 2 × 4 6 ) × ( 1 2 × 4 6 ) × 1 2 = ( 1 2 × 4 6 ) 2 × 1 2 \begin{aligned} \text{probability of him getting head on coin in third throw } & = & \left( \frac { 1 }{ 2 } \times \frac { 4 }{ 6 } \right) \times \left( \frac { 1 }{ 2 } \times \frac { 4 }{ 6 } \right) \times \frac { 1 }{ 2 } \\ & = & \left(\frac{1}{2}\times \frac{4}{6}\right)^{2}\times \frac{1}{2} \end{aligned} \vdots

probability of him getting head on coin in k t h throw = ( 1 2 × 4 6 ) k 1 × 1 2 \text{probability of him getting head on coin in } k^{th}\text{ throw}=\left(\frac{1}{2}\times \frac{4}{6}\right)^{k-1}\times \frac{1}{2}

P = 1 2 × { ( 1 2 × 4 6 ) 0 + ( 1 2 × 4 6 ) 1 + ( 1 2 × 4 6 ) 2 + + ( 1 2 × 4 6 ) } = 0.75 \therefore P=\frac { 1 }{ 2 } \times \left\{ \left( \frac { 1 }{ 2 } \times \frac { 4 }{ 6 } \right) ^{ 0 }+\left( \frac { 1 }{ 2 } \times \frac { 4 }{ 6 } \right) ^{ 1 }+\left( \frac { 1 }{ 2 } \times \frac { 4 }{ 6 } \right) ^{ 2 }+\dots +\left( \frac { 1 }{ 2 } \times \frac { 4 }{ 6 } \right) ^{ \infty } \right\} =\boxed{0.75}

Although I got it right, you should clarify that you start with coin flipping. (BTW the first time I got it wrong it raised the level of the problem from 3 to 4)

A P - 5 years ago

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Thanks! I've added it.

Rushikesh Jogdand - 5 years ago
Patrick Bamba
May 23, 2016

The odds that he ends by tossing the coin in the whole game is the same as the odds of doing the same during the first round.

Odds of ending on coins on first round = ( 0.5 ) : ( 0.5 ) ( 1 / 3 ) = 3 : 1 =(0.5):(0.5)(1/3)=3:1

The odds that he ends by tossing the coin = 3 : 1 =3:1

Probability that he ends by tossing the coin = 3 / ( 3 + 1 ) = 3 / 4 = 0.75 =3/(3+1)=3/4=0.75

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