Answer:
To find the expected value (EV) of playing this game, we can use the following formula:
\[EV = (P_1 \cdot X_1) + (P_2 \cdot X_2) + \ldots + (P_n \cdot X_n)\]
where:
- \(P_i\) is the probability of outcome \(X_i\).
In this case, we have two possible outcomes: winning and losing.
1. Winning:
- Probability of winning (\(P_1\)) = 0.19
- Net gain (\(X_1\)) = $9
2. Losing:
- Probability of losing (\(P_2\)) = 0.81
- Net loss (\(X_2\)) = -$6 (since the player loses $6)
Plug in the values:
\[EV = (0.19 \cdot 9) + (0.81 \cdot (-6))\]
\[EV = 1.71 - 4.86\]
\[EV = -3.15\]
The expected value is -$3.15. This means that, on average, a person can expect to lose $3.15 for each game they play.
Over a large number of games, we expect the person to come out financially behind. This is because the expected value is negative, indicating that, on average, the player will lose money over time.
Explanation: