To find the probability of getting heads in the first two tosses and tails in the final toss for a biased coin where the probability of heads is \(\frac{2}{3}\), we can follow these steps:
\(\text{P(HHT)} = \text{P(H)} \times \text{P(H)} \times \text{P(T)} = \frac{2}{3} \times \frac{2}{3} \times \frac{1}{3}\)
Computing this:
\(\frac{2}{3} \times \frac{2}{3} \times \frac{1}{3} = \frac{4}{27}\)
Thus, the probability of getting heads on the first two tosses and tails on the final toss is \(\frac{4}{27}\).
The sum of the payoffs to the players in the Nash equilibrium of the following simultaneous game is ............
| Player Y | ||
|---|---|---|
| C | NC | |
| Player X | X: 50, Y: 50 | X: 40, Y: 30 |
| X: 30, Y: 40 | X: 20, Y: 20 | |