Question 44 of 417EasyMCQ
A coin is biased so that a head is twice as likely to occur as a tail. If the coin is tossed 3 times, then the probability of getting two tails and one head is
Solutions · 1
Official solution
To solve this problem, we need to first determine the probability of getting a head (H) and the probability of getting a tail (T).
Since a head is twice as likely to occur as a tail, we can denote the probability of getting a tail as P(T)=p and the probability of getting a head as P(H)=2p.
These probabilities must sum to 1 because those are the only two possible outcomes for each coin toss :
P(H)+P(T)=1
2p+p=1
3p=1
\[ p = \frac{1}{3} \]
Therefore, the probability of getting a tail (T) is \[ P(T) = \frac{1}{3} \] and the probability of getting a head (H) is \[ P(H) = 2 \times \frac{1}{3} = \frac{2}{3} \].
Now to find the probability of getting two tails and one head, we need to consider the different sequences in which this can occur. There are three unique sequences: TTH, THT, and HTT.
The probability of each sequence is found by multiplying the probabilities of each individual event since each coin toss is independent:
\[ P(TTH) = P(T) \times P(T) \times P(H) = \left(\frac{1}{3}\right)^2 \times \frac{2}{3} = \frac{1}{9} \times \frac{2}{3} = \frac{2}{27} \]
\[ P(THT) = P(T) \times P(H) \times P(T) = \frac{1}{3} \times \frac{2}{3} \times \frac{1}{3} = \frac{2}{27} \]
\[ P(HTT) = P(H) \times P(T) \times P(T) = \frac{2}{3} \times \left(\frac{1}{3}\right)^2 = \frac{2}{27} \]
The overall probability of getting two tails and one head in any order is the sum of these individual probabilities :
\[ P(2T1H) = P(TTH) + P(THT) + P(HTT) = \frac{2}{27} + \frac{2}{27} + \frac{2}{27} = \frac{6}{27} \]
Simplifying this expression gives us:
\[ P(2T1H) = \frac{6}{27} = \frac{2}{9} \]
Therefore, the correct answer is :
Option B :
\[\frac{2}{9}\]
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