Game of Roulette
In statistics, probability and odds are two different concepts. The difference between the two can be derived from the way the two are calculated.
probability = Number of desirable outcomes
Number of possible outcomes
odds = Number of desirable outcomes
Number of undesirable outcomes
In roulette bets, if the ball lands on a number that is not among those selected, then the player loses the bet. There are various roulette bets. Assuming that the wheal is fairly balanced, the average probability of the ball falling on any number is 1/38 (Peter, 2001). This implies that, on average, every 38 wheel spins will lead to 37 loses and a single win.
For a bet on a single number: 0, 00, or 1-36. If a player wins, the payoff is 35: 1 implying that he gets his original chip back plus 35 more chips. In other words, he starts with 1 chip and wind up with 36 chips. Depending on the bet and where the ball stops, there are various payoffs. The 0 and 00 Slots are colored green and all the others are colored red or black, half of each color.
As mentioned earlier, a win following a bet on a single number leads to a payoff of 35: 1. This implies that the player gets 35 extra chips, in addition to his original chip. The probability of the ball landing on the correct number (1-16 or 0) following a spin is assumed to be 1/38. The implication is that the ball will land on each number one time in every 38 spins. For the 38 spins, the average loss is 37. Betting on half of the non-green numbers pays 1: 1. This implies that the player doubles his money on every win.
Nevertheless, all modes of betting have the same advantages in the long run. When a player bets on a single number as in the former case, he loses 37 chips as he gains 35 on average. This means that the player’s expected value is -2/38. Therefore, the American roulette has an expected return of -1/19 per bet. The reasoning here is that a player loses 1/19 of the money that he bets. In the latter case, a player tries his luck on a half of all non-green numbers. The expected average win in this case for every 38 bets is 18, and; therefore, the expected loses is 38-18=20. Since the payoff in such a scenario is 1:1, a player receives 1 chip for every win, and this gives a total of 18×1=18 wins. Consequently, the average net loss in 38 turns will be 20-18=2. This implies that a player loses 2/38=1/9 of his money. The loss is equal to that of the previous case, and this means that the returns on all modes of betting are the same.
Objectives
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