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Andy is always looking for ways to make money fast. Lately, he has been trying to make money by gambling. Here is the game he is considering playing: The game costs $$\$ 2$$ to play. He draws a card from a deck. If he gets a number card \((2-10),\) he wins nothing. For any face card ( jack, queen or king), he wins $$\$ 3$$. For any ace, he wins $$\$ 5$$, and he wins an extra $$\$ 20$$ if he draws the ace of clubs. (a) Create a probability model and find Andy's expected profit per game. (b) Would you recommend this game to Andy as a good way to make money? Explain.

Short Answer

Expert verified
Andy's expected profit per game is \(-0.54\). I do not recommend this game to Andy as a good way to make money.

Step by step solution

01

Define the Outcomes

First, we determine the possible outcomes of drawing a card from the deck. A standard deck has 52 cards consisting of number cards, face cards, and aces.
02

Determine Probabilities

Calculate the probability of each type of outcome. There are 36 number cards (9 of each suit), 12 face cards (3 of each suit), 4 aces, and only 1 ace of clubs. The probability for each outcome is computed as follows:- Probability of a number card (2 through 10): \( \frac{36}{52} \)- Probability of a face card (J, Q, K): \( \frac{12}{52} \)- Probability of drawing an ace: \( \frac{4}{52} \)- Probability of drawing the ace of clubs specifically: \( \frac{1}{52} \)
03

Calculate Expected Values for Each Outcome

Next, calculate the expected monetary outcome for each possible result:- Number card: Andy wins \(0, so the expected value is \( 0 \times \frac{36}{52} = 0 \).- Face card: Andy wins \)3, so the expected value is \( 3 \times \frac{12}{52} \).- Ace: Andy wins $5, so add to this probability the extra win from the ace of clubs. - Non-club aces (3 of them): \( 5 \times \frac{3}{52} \). - Ace of clubs: (5 + 20) \( = 25 \), \( 25 \times \frac{1}{52} \).
04

Calculate Total Expected Value

Sum the expected values computed in Step 3 and subtract the cost of playing the game ($2) from this total to compute the profit:\[E(X) = (3 \times \frac{12}{52}) + (5 \times \frac{3}{52}) + (25 \times \frac{1}{52}) - 2\]
05

Compute the Final Expected Profit

Calculate the final expected value:- \( \frac{36}{52} \times 0 = 0 \)- \( \frac{12}{52} \times 3 = \frac{36}{52} \)- \( \frac{3}{52} \times 5 = \frac{15}{52} \)- \( \frac{1}{52} \times 25 = \frac{25}{52} \)Combine these: \( E(X) = \frac{36}{52} + \frac{15}{52} + \frac{25}{52} - 2 \)Simplified: \( E(X) = \frac{76}{52} - 2 = \frac{76}{52} - \frac{104}{52} = -\frac{28}{52} \)Therefore, the expected profit per game is \(-0.54\).
06

Conclusion and Recommendation

Based on the previous calculations, the expected profit per game is negative \(-0.54\). This means, on average, Andy is expected to lose money every time he plays. Therefore, I would recommend against Andy playing this game as a way to make money.

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Key Concepts

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

Expected Value
When we dive into the world of probability, one important concept that often comes up is the expected value. It provides a way to predict the average outcome of a probabilistic event. In our scenario, Andy is interested in knowing whether a card game is worth playing. The game involves different winnings for various card outcomes, and the expected value can help determine his average gain or loss.

The expected value is calculated by multiplying each possible outcome by its respective probability and then summing these values. In Andy's game, we have several outcomes:
  • Drawing a number card: probability of \(\frac{36}{52}\), expected value of \(0\).
  • Drawing a face card: probability of \(\frac{12}{52}\), expected value of \(3 \times \frac{12}{52}\).
  • Drawing a non-club ace: probability of \(\frac{3}{52}\), expected value of \(5 \times \frac{3}{52}\).
  • Drawing the ace of clubs: probability of \(\frac{1}{52}\), expected value of \(25 \times \frac{1}{52}\).
By calculating these separately and then summing them up, we can deduct the cost of playing, resulting in the final expected value. For Andy, the calculation turned out to be negative, indicating a loss on average. This showcases the utility of expected value in evaluating gaming strategies.
Gambling Probabilities
Gambling probabilities give us insight into how likely various outcomes are when playing games of chance, such as Andy's card game. Understanding these probabilities enables players to assess their chances of winning, helping them make informed decisions about whether or not to engage in the game.

For Andy, different types of cards have distinct probabilities:
  • Number cards (2-10) have a high probability due to their abundance, \(\frac{36}{52}\).
  • Face cards (J, Q, K) appear less frequently with a probability of \(\frac{12}{52}\).
  • Aces are even rarer, with a probability of \(\frac{4}{52}\).
  • The ace of clubs is the rarest, with just \(\frac{1}{52}\).
Knowing these probabilities is vital because they are foundational to calculating potential gains or losses in games. For Andy, a savvy gambler, this determines whether the game's odds are in his favor. Using these values, he can understand the risk and more importantly, the likelihood of different card draws influencing his potential earnings.
Card Game Statistics
In card games, statistics play a huge role in determining the outcome probabilities. Each card has a specific frequency based on its number and suit. Understanding these statistics allows players to gauge how likely they are to draw a particular card or hand, which is crucial in games like poker or blackjack.

The deck Andy plays with consists of:
  • 36 number cards, making drawing them quite likely.
  • 12 face cards. Their probability is significant but less than number cards.
  • 4 aces, including the ace of clubs which offers a significant win.
Card game statistics empower players to analyze how a deck structure can influence their outcomes, helping them in strategizing their play. By understanding the distribution of each type of card, Andy can better anticipate his winnings and losses in the long run. He can also identify certain scenarios where his chances increase, adapting his moves accordingly.
Probability Calculation
Calculating probabilities accurately is a fundamental skill in assessing chances in any game involving elements of chance, like Andy's card game. It involves both straightforward and sometimes complex mathematical operations to determine how often particular outcomes occur.

For the probability calculation in Andy's game, the process included:
  • Determining each card type's frequency in a 52-card deck.
  • Computing probabilities such as \(\frac{36}{52}\) for number cards and \(\frac{1}{52}\) for the ace of clubs.
  • Utilizing these probabilities to compute expected monetary outcomes.
This systematic approach ensures that Andy understands the likelihood of each potential draw, enabling a straightforward evaluation of the game's financial viability. By factoring in the cost of playing against potential returns, probability calculations help reveal whether the game's risk aligns with Andy's financial goals.

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Most popular questions from this chapter

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