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In seven-card stud poker, a player is dealt seven cards. The probability that the player is dealt two cards of the same value and five other cards of different value so that the player has a pair is 0.48. Explain what this probability means. If you play seven-card stud 100 times, will you get a pair exactly 48 times? Why or why not?

Short Answer

Expert verified
No, you will not get a pair exactly 48 times. Probability indicates a trend, not a precise prediction for a finite number of trials.

Step by step solution

01

Understand the Given Probability

The problem states that the probability of being dealt a pair in seven-card stud poker is 0.48. This means that over many games, a player can expect to get a pair 48% of the time.
02

Interpret the Probability

Probability in this context is a measure of likelihood. It does not guarantee outcomes in small samples. Instead, it indicates a trend over a large number of hands. In theory, playing 100 games should result in about 48 games with a pair.
03

Consider Variability in Actual Outcomes

Probability deals with long-term trends, not short-term guarantees. Even though the probability is 0.48, playing 100 times does not guarantee exactly 48 pairs. The number of pairs can be slightly higher or lower due to natural variability.
04

Statistical Expectation

On average, if you play 100 games, you can expect to get a pair around 48 times. However, due to random fluctuations, this number may not be exactly 48 in a single set of 100 games. The concept is based on the law of large numbers, which states that the observed frequency will get closer to the expected probability as the number of trials increases.

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Key Concepts

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

seven-card stud poker
Seven-card stud poker is a popular variant of poker where each player receives a total of seven cards throughout the course of a game. The game is known for its strategic complexity because some cards are dealt face up. This allows other players to see part of your hand as the game progresses. In seven-card stud poker:

• Each player is first dealt two face-down cards and one face-up card.
• Subsequent rounds involve dealing cards face-up, then concluding with a face-down card.
• Players aim to make the best five-card combination out of the seven cards they receive.

The probability of specific card combinations, such as getting a pair, is a key aspect of the game's strategy.
expected value
Expected value is a fundamental concept in probability theory that provides a measure of the average outcome of a random event over many trials. In the context of seven-card stud poker, if you know the probability of getting a pair is 0.48, you can calculate the expected value over multiple games.

• The probability of getting a pair is 0.48.
• If you play 100 games, the expected number of games where you get a pair is calculated as:
\(\text{Expected Value} = 100 \times 0.48 = 48\)

Expected value helps players understand what to anticipate over a long period of play, but it does not predict exact results in a small sample of games.
law of large numbers
The law of large numbers is a theorem in probability theory that describes how the average of a large number of trials gets closer to the expected value as the number of trials increases. Essentially:

• In seven-card stud poker, while the probability of getting a pair is 0.48, you may not see exactly 48 pairs in every set of 100 games.
• Over thousands of games, the ratio of pairs to total games will likely converge to 0.48.

This means that the more you play, the closer your actual results will get to the expected 48% probability. Short-term results may vary, but long-term trends will align more closely with the theoretical probability.
statistical variability
Statistical variability refers to the natural fluctuations that occur in random events. Even though the probability of getting a pair in seven-card stud poker is 0.48, actual outcomes in a finite number of games may differ.

• When you play 100 games, the number of pairs is likely to be around 48, but it could be slightly higher or lower.
• This variability is due to the random nature of the game.

Understanding statistical variability is crucial in interpreting probabilities. It reminds us that single sets of trials do not always reflect the underlying probabilities perfectly. Over many repeated trials, these variations average out, resulting in outcomes that align more closely with theoretical expectations.

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Most popular questions from this chapter

The following data represent the number of driver fatalities in the United States in 2002 by age for male and female drivers: $$\begin{array}{|l|c|c|} \hline \text { Age} & \text { Male } & \text { Female }\\\\\hline \text { Under } 16 & 228 & 108 \\\\\hline 16-20 & 5696 & 2386 \\\\\hline 21-34 & 13,553 & 4148 \\\\\hline 35-54 & 14,395 & 5017 \\\\\hline 55-69 & 4937 & 1708 \\\\\hline 70 \text { and over } & 3159 & 1529 \\\\\hline\end{array}$$ (a) What is the probability that a randomly selected driver fatality who was male was 16 to 20 years old? (b) What is the probability that a randomly selected driver fatality who was 16 to 20 was male? (c) Suppose you are a police officer called to the scene of a traffic accident with a fatality. The dispatcher states that the victim is 16 to 20 years old, but the gender is not known. Is the victim more likely to be male or female? Why?

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