Respuesta :
Step-by-step explanation:
- To find the E(X) expected value, you come up with the different probabilities for each outcome
- your set of outcomes after 3 tosses would be = {HHH, HHT, HTH, THH, HTT, THT, TTH, TTT} where H is heads and T is tails
- Each element has a probability of 1/8 so let x represent number of tails
- [tex]Probability(x)=P(x)\\P(0)=\frac{1}{8} \\P(1)=\frac{3}{8} \\P(2)=\frac{3}{8} \\P(3)=\frac{1}{8}[/tex]
- The E(x)=Summation (x times P(x))
- [tex]E(X)=(0)(0.125)+(1)(0.375)+(2)(0.375)+(3)(0.125)=1.5[/tex]
- Now which probability is 1.5 tails? None, so it is either 2 tails or 1 tails
- So you can expect to lose money in 1 game
- But as you play more games the probability of getting 3 tails becomes more and more likely, so you can expect to win in a 100 games
The expected value is the value of winning made on a game when played overtime. Hence, the expected value of the game is -$0.5 ; with the player losing -$0.5 in the long run.
A coin toss :
- {H, T}
Sample space for 3 tosses :
- {HHH, HHT, HHT, HTT, HHT, HTT, HTT, TTT}
Toss required to win = 3 tails :
- Amount won on success = $3
- Amount lost otherwise = $1 = - $1
Creating a discrete probability table :
- X _____ 3 _______ - 1
- P(X) ___ 1/8 _____ 7/8
The expected probability can be defined as :
- E(X) = ΣX×P(X)
E(X) = 3 × (1/8) + (-1) × 7/8
E(X) = 3/8 - 7/8 = - 4/8 = -1/2
Therefore, the expected value of the game = - 0.5 ; meaning that, I'll lose 0.5 in the long run.
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