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Roulette is a game of chance that involves spinning a wheel that is divided into 38 equal segments, as shown in the accompanying picture. A metal ball is tossed into the wheel as it is spinning, and the ball eventually lands in one of the 38 segments. Each segment has an associated color. Two segments are green. Half of the other 36 segments are red, and the others are black. When a balanced roulette wheel is spun, the ball is equally likely to land in any one of the 38 segments. a. When a balanced roulette wheel is spun, what is the probability that the ball lands in a red segment? b. In the roulette wheel shown, black and red segments alternate. Suppose instead that all red segments were grouped together and that all black segments were together. Does this increase the probability that the ball will land in a red segment? Explain. c. Suppose that you watch 1000 spins of a roulette wheel and note the color that results from each spin. What would be an indication that the wheel was not balanced?

Short Answer

Expert verified
a. The probability of the ball landing in a red segment is \(\frac{18}{38}\)\n b. No, grouping the red segments together will not increase the probability of the ball landing in a red segment.\n c. If considerable disparity is observed in the resulting color segments upon 1000 spins, this could be an indication that the wheel is not balanced.

Step by step solution

01

Compute the probability of the ball landing in a red segment

To calculate the probability of the ball landing in a red segment, divide the total number of red segments by the total number of segments. Since half of 36 segments are red, there are 18 red segments. Therefore, the probability is \(\frac{18}{38}\). Simplify this fraction to present the final answer.
02

Analyze the effect of arrangement on probability

Probability is determined by the number of favorable outcomes divided by total outcomes. Even if the segments are grouped differently, this does not change the number of red segments or total segments. Thus, the probability remains the same regardless of the arrangement and does not increase even if all red segments were grouped together.
03

Indications of an unbalanced wheel

If a roulette wheel is balanced, each segment, whether red, black or green, should have an equal chance of being selected, which is \(\frac{1}{38}\), over a large number of spins. In 1000 spins, each color should appear approximately the same number of times, in proportion to the segments they have. Major disparity in these numbers, such as one color appearing significantly more than expected, could indicate that the wheel is not balanced.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Probability Calculations
Understanding the odds of different outcomes in a game like roulette starts with grasping the basics of probability calculations. Probability represents the chance that a particular event will occur, and it's expressed as a ratio of favorable outcomes to total possible outcomes.

For instance, when dealing with the roulette scenario given in the exercise, we identify the event of interest (landing in a red segment) and determine the number of ways this event can occur (18 red segments). Next, we divide these favorable outcomes by the total number of possible outcomes (38 segments in total) to get the probability of landing on a red segment, which is calculated as \( \frac{18}{38} \).

To simplify the fraction and present the final answer in its simplest form, we divide both the numerator and the denominator by their greatest common divisor. Understanding how to do this is crucial for clearly conveying the likelihood of the outcome.
Roulette Wheel Probability
The beauty of a roulette wheel lies in its design for equal probabilities among all its segments, assuming it's balanced. Each spin of the wheel gives the metal ball an equal chance to land in any of the 38 segments.

In our roulette exercise, the probability remains constant at \( \frac{1}{38} \) for any single segment because each spin is an independent event. This means that the previous or following spins do not influence the outcome of the current spin. Therefore, rearranging the red and black segments on the wheel without altering their count doesn't change the ball's probability of landing in a red segment which always remains at \( \frac{18}{38} \) or its simplified form.

It is essential to comprehend this independence of events in roulette as it lays the foundation for understanding more complex probability problems and helps debunk common gambler's fallacies about 'due' outcomes.
Indications of an Unbalanced Wheel
As players, we expect a fair game when we approach the roulette table, which means every segment should have an equal chance of being hit. However, physical imperfections or wear and tear could lead to an unbalanced wheel, influencing the probability of where the ball lands.

Looking at large amounts of data can provide statistical evidence of such biases. In our exercise, analyzing 1000 spins gives a significant sample size to gauge if the colors are appearing roughly in proportion to the number of segments they represent. A major deviation from the expected number, especially persistently, can be a red flag for an unbalanced wheel. For example, if the red segments should appear approximately 18 out of every 38 spins, a lower or higher frequency over the 1000 spins can indicate discrepancies. Recognizing these patterns is crucial not only in gaming but also in understanding real-world systems where irregularities can suggest underlying issues.

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Most popular questions from this chapter

"N.Y. Lottery Numbers Come Up \(9-1-1\) on \(9 / 11\) " was the headline of an article that appeared in the San Francisco Chronicle (September 13,2002 ). More than 5,600 people had selected the sequence \(9-1-1\) on that date, many more than is typical for that sequence. A professor at the University of Buffalo was quoted as saying, "I'm a bit surprised, but I wouldn't characterize it as bizarre. It's randomness. Every number has the same chance of coming up. People tend to read into these things. I'm sure that whatever numbers come up tonight, they will have some special meaning to someone, somewhere." The New York state lottery uses balls numbered \(0-9\) circulating in three separate bins. One ball is chosen at random from each bin. What is the probability that the sequence \(9-1-1\) would be selected on any particular day?

The paper "Action Bias among Elite Soccer Goalkeepers: The Case of Penalty Kicks" ( Journal of Economic Psychology [2007]: \(606-621\) ) presents an interesting analysis of 286 penalty kicks in televised championship soccer games from around the world. In a penalty kick, the only players involved are the kicker and the goalkeeper from the opposing team. The kicker tries to kick a ball into the goal from a point located 11 meters away. The goalkeeper tries to block the ball from entering the goal. For each penalty kick analyzed, the researchers recorded the direction that the goalkeeper moved (jumped to the left, stayed in the center, or jumped to the right) and whether or not the penalty kick was successfully blocked. Consider the following events: \(L=\) the event that the goalkeeper jumps to the left \(C=\) the event that the goalkeeper stays in the center \(R=\) the event that the goalkeeper jumps to the right \(B=\) the event that the penalty kick is blocked Based on their analysis of the penalty kicks, the authors of the paper gave the following probability estimates: $$ \begin{array}{rrr} P(L)=0.493 & P(C)=0.063 & P(R)=0.444 \\ P(B \mid L)=0.142 & P(B \mid C)=0.333 & P(B \mid R)=0.126 \end{array} $$ a. For each of the given probabilities, write a sentence giving an interpretation of the probability in the context of this problem. b. Use the given probabilities to construct a "hypothetical 1000" table with columns corresponding to whether or not a penalty kick was blocked and rows corresponding to whether the goalkeeper jumped left, stayed in the center, or jumped right. (Hint: See Example 5.14) c. Use the table to calculate the probability that a penalty kick is blocked. d. Based on the given probabilities and the probability calculated in Part (c), what would you recommend to a goalkeeper as the best strategy when trying to defend against a penalty kick? How does this compare to what goalkeepers actually do when defending against a penalty kick?

Consider a chance experiment that consists of selecting a customer at random from all people who purchased a car at a large car dealership during 2010 . a. In the context of this chance experiment, give an example of two events that would be mutually exclusive. b. In the context of this chance experiment, give an example of two events that would not be mutually exclusive.

A professor assigns five problems to be completed as homework. At the next class meeting, two of the five problems will be selected at random and collected for grading. You have only completed the first three problems. a. What is the sample space for the chance experiment of selecting two problems at random? (Hint: You can think of the problems as being labeled \(\mathrm{A}, \mathrm{B}, \mathrm{C}, \mathrm{D},\) and \(\mathrm{E} .\) One possible selection of two problems is \(\mathrm{A}\) and \(\mathrm{B}\). If these two problems are selected and you did problems \(\mathrm{A}, \mathrm{B}\) and \(\mathrm{C}\), you will be able to turn in both problems. There are nine other possible selections to consider.) b. Are the outcomes in the sample space equally likely? c. What is the probability that you will be able to turn in both of the problems selected? d. Does the probability that you will be able to turn in both problems change if you had completed the last three problems instead of the first three problems? Explain. e. What happens to the probability that you will be able to turn in both problems selected if you had completed four of the problems rather than just three?

Suppose you want to estimate the probability that a randomly selected customer at a particular grocery store will pay by credit card. Over the past 3 months, 80,500 payments were made, and 37,100 of them were by credit card. What is the estimated probability that a randomly selected customer will pay by credit card?

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