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Games. Many kinds of games people play rely on randomness. Cite three different methods commonly used in the attempt to achieve this randomness, and discuss the effectiveness of each.

Short Answer

Expert verified
Dice rolls, spinning wheels, and card shuffling are common methods for game randomness, each with varying effectiveness influenced by execution and potential biases.

Step by step solution

01

Identify Methods for Randomness

The first step is to identify three common methods that games use to introduce randomness. These methods are typically dice rolls, spinning wheels, and shuffling cards.
02

Analyze Randomness of Dice Rolls

Dice are designed to be symmetrical with numbers on each side. The randomness is based on the physical throw, ensuring an equal probability to land on each side. However, the effectiveness can be compromised by factors like loaded dice, wear and tear, or throwing method.
03

Evaluate Randomness of Spinning Wheels

Spinning wheels, such as those used in roulette, rely on uniform balance and spinning force to achieve randomness. Their effectiveness can be influenced by imperfections in the wheel's balance or bias in the croupier's spin method.
04

Assess Randomness of Shuffling Cards

Card shuffling attempts to reorder cards in a random sequence. The effectiveness of shuffling depends on the thoroughness, with techniques like the riffle shuffle needing at least seven shuffles to approach true randomness and prevent predictability.

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Key Concepts

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

Dice Probability
Dice are a classic tool used in many games to generate randomness. Each die is shaped as a cube with six faces, each marked with a different number of dots from 1 to 6. When you roll a die, the goal is that each face has an equal opportunity to land upwards.
To achieve this, the die must be perfectly symmetrical and evenly weighted. This symmetry ensures that there’s a \( \frac{1}{6} \) probability, or about 16.67%, for each side to show up with a single roll.
  • However, real-world conditions can affect this ideal fairness. If a die is not perfectly balanced, it might favor certain numbers. This occurrence can happen due to manufacturing defects or physical damages.
  • Additionally, how you roll the dice, like rolling them gently versus shaking them vigorously, can have an impact on randomness.
By understanding these factors, players can ensure they use fair and true rolls, maintaining the excitement of uncertainty in games.
Spinning Wheel Mechanics
Spinning wheels are another fascinating method used to introduce randomness, famously showcased in games like roulette. These wheels rely on their balance and the force applied during the spin to ensure outcomes remain unpredictable.
For a spinning wheel to be considered truly random, it must be perfectly balanced so that no section has a greater chance of stopping under the ball.
  • Imperfections, such as a wheel being slightly inclined or having unequal distribution of weight, can bias results. These small imperfections can, over numerous spins, lead to patterns that favor certain areas over others.
  • The technique of the person spinning the wheel, often referred to as the croupier in a casino setting, can also influence randomness. If a croupier always uses the same force or speed, it might accidentally introduce a bias.
To maintain the element of chance, gaming establishments frequently check and adjust their equipment, and train their staff to vary their spinning techniques.
Card Shuffling Techniques
Shuffling cards is a critical practice in card-based games to ensure every player has a fair chance by providing a fresh and random order of cards. Various shuffling techniques contribute differently to randomness.
One commonly used method is the riffle shuffle, which involves splitting the deck into two stacks and interleaving them. This technique, if done thoroughly, can be quite effective.
  • Studies have shown that it takes at least seven riffle shuffles to make a card deck's order sufficiently random.
  • Other techniques, such as the overhand shuffle or the pile shuffle, can also contribute to randomness but might require more repetitions to be as effective as the riffle shuffle.
The randomness achieved through shuffling is critical in card games, as playing an unshuffled deck would make games predictable and diminish the fairness. Proper shuffling ensures that no player can predict the sequence of the next cards, maintaining suspense and fairness.

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Most popular questions from this chapter

Two pair or three of a kind? When drawing five cards randomly from a deck, which is more likely, two pairs or three of a kind? A pair is exactly two of the same denomination. Three of a kind is exactly 3 of the same denomination. (Don't count three \(8^{\prime}\) s as a pair-that's 3 of a kind. And don't count 4 of the same kind as two pair-that's 4 of a kind, a very special hand.) How could you simulate 5-card hands? Be careful; once you've picked the 8 of spades, you can'\operatorname{tg} e t ~ i t ~ a g a i n ~ i n ~ t h a t ~ h a n d . ~ a) Describe how you will simulate a component. b) Describe how you will simulate a trial. c) Describe the response variable.

Job discrimination? A company with a large sales staff announces openings for three positions as regional managers. Twenty-two of the current salespersons apply, 12 men and 10 women. After the interviews, when the company announces the newly appointed managers, all three positions go to women. The men complain of job discrimination. Do they have a case? Simulate a random selection of three people from the applicant pool, and make a decision about the likelihood that a fair process would result in hiring all women.

Multiple choice. You take a quiz with 6 multiple choice questions. After you studied, you estimated that you would have about an \(80 \%\) chance of getting any individual question right. What are your chances of getting them all right? Use at least 20 trials.

Bad simulations. Explain why each of the following simulations fails to model the real situation properly: a) Use a random integer from 0 through 9 to represent the number of heads when 9 coins are tossed. b) A basketball player takes a foul shot. Look at a random digit, using an odd digit to represent a good shot and an even digit to represent a miss. c) Use random digits from 1 through 13 to represent the denominations of the cards in a five-card poker hand.

Beat the lottery. Many states run lotteries to raise money. A Web site advertises that it knows "how to increase YOUR chances of Winning the Lottery." They offer several systems and criticize others as foolish. One system is called Lucky Numbers. People who play the Lucky Numbers system just pick a "lucky" number to play, but maybe some numbers are luckier than others. Let's use a simulation to see how well this system works. To make the situation manageable, simulate a simple lottery in which a single digit from 0 to 9 is selected as the winning number. Pick a single value to bet, such as 1 , and keep playing it over and over. You'll want to run at least 100 trials. (If you can program the simulations on a computer, run several hundred. Or generalize the questions to a lottery that chooses two- or three-digit numbers-for which you'll need thousands of trials.) a) What proportion of the time do you expect to win? b) Would you expect better results if you picked a "luckier" number, such as \(7 ?\) (Try it if you don't know.) Explain.

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