A coin is biased so that a head is twice as likely to occur as a tail, if the coin is tossed three times, what is the probability of getting exactly two tails?
2/9
Let's break down the probability calculation for tossing a biased coin three times and getting exactly two tails.
We are given that a head (H) is twice as likely to occur as a tail (T). This can be written as:
\( P(H) = 2 \times P(T) \)
Also, the sum of probabilities for all possible outcomes must be 1:
\( P(H) + P(T) = 1 \)
Now, we can substitute the first equation into the second:
\( 2 \times P(T) + P(T) = 1 \)
\( 3 \times P(T) = 1 \)
So, the probability of getting a tail is:
\( P(T) = \frac{1}{3} \)
And the probability of getting a head is:
\( P(H) = 2 \times \frac{1}{3} = \frac{2}{3} \)
When a coin is tossed three times, the possible sequences for getting exactly two tails are:
Since each toss is independent, we can multiply the probabilities of the individual outcomes for each sequence:
To find the probability of getting exactly two tails, we sum the probabilities of these three mutually exclusive outcomes:
\( P(\text{exactly two tails}) = P(\text{TTH}) + P(\text{THT}) + P(\text{HTT}) \)
\( P(\text{exactly two tails}) = \frac{2}{27} + \frac{2}{27} + \frac{2}{27} \)
\( P(\text{exactly two tails}) = \frac{2 + 2 + 2}{27} = \frac{6}{27} \)
The fraction \(\frac{6}{27}\) can be simplified by dividing both the numerator and the denominator by their greatest common divisor, which is 3:
\( \frac{6 \div 3}{27 \div 3} = \frac{2}{9} \)
Thus, the probability of getting exactly two tails when the biased coin is tossed three times is \(\frac{2}{9}\).
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