Math Problem Statement
In the game of roulette, a player can place a
$99
bet on the number
99
and have a
StartFraction 1 Over 38 EndFraction138
probability of winning. If the metal ball lands on
99,
the player gets to keep the
$99
paid to play the game and the player is awarded an additional
$315315.
Otherwise, the player is awarded nothing and the casino takes the player's
$99.
What is the expected value of the game to the player? If you played the game 1000 times, how much would you expect to lose?
Question content area bottom
Part 1
The expected value is
$enter your response here.
Solution
Part 1: Calculate the Expected Value (EV)
The expected value (EV) of a game can be calculated as follows:
In this case:
- Probability of winning ():
- Probability of losing (): (since there are 38 total outcomes and only 1 is favorable)
Winnings:
- The player keeps the $99 and receives an additional $315, so the total winnings are:
Losses:
- If the player loses, they lose the $99 bet:
Step-by-step Calculation
Expected value of winning:
Expected value of losing:
Total expected value:
Thus, the expected value of the game to the player is .
Part 2: Expected Loss Over 1000 Games
If you play the game 1000 times, the total expected loss would be:
Therefore, if you played 1000 times, you would expect to lose $85,500.
Would you like more details or have any questions about this calculation?
5 Related Questions:
- How is expected value used in decision-making for gambling?
- What are the probabilities of winning in other roulette bets?
- How do casinos use expected value to ensure profit?
- Can the expected value ever be positive in roulette games?
- How do the odds in European roulette compare to American roulette?
Tip:
When gambling, always consider the expected value to understand long-term outcomes instead of short-term wins or losses!
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Math Problem Analysis
Mathematical Concepts
Probability
Expected Value
Game Theory
Formulas
EV = P(win) × Winnings + P(lose) × Losses
P(win) = 1/38
P(lose) = 37/38
Winnings = 99 + 315
Losses = -99
Theorems
Expected Value Theorem in Probability
Suitable Grade Level
Grades 10-12