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A deck of 52 cards is mixed well, and 5 cards are dealt. a. It can be shown that (disregarding the order in which the cards are dealt) there are 2,598,960 possible hands, of which only 1,287 are hands consisting entirely of spades. What is the probability that a hand will consist entirely of spades? What is the probability that a hand will consist entirely of a single suit? b. It can be shown that 63,206 of the possible hands contain only spades and clubs, with both suits represented. What is the probability that a hand consists entirely of spades and clubs with both suits represented?

Short Answer

Expert verified
The probabilities are roughly 0.000495 for a hand consisting entirely of spades, 0.00198 for a hand consisting entirely of a single suit and 0.02432 for a hand consisting entirely of spades and clubs with both suits represented.

Step by step solution

01

Compute the probability of a hand consisting entirely of spades

The total number of possible hands is 2,598,960. Among these, there are 1,287 hands that consist entirely of spades. The probability is thus calculated by dividing the number of desirable outcomes (entirely spade hands) by the total number of outcomes, which results in \( \frac{1287}{2,598,960} \).
02

Compute the probability of a hand consisting entirely of a single suit

A standard deck has 4 suits, so the possible hands that consist entirely of a single suit are 4 times the number of pure spade hands. Thus, the probability can be calculated as \( \frac{4 \times 1287}{2,598,960} \).
03

Compute the probability of a hand consists entirely of spades and clubs with both suits represented

If we sum the number of hands that only consist of spades and clubs, we get 63,206. Again, we divide this by the total number of outcomes to get the probability, which is \( \frac{63,206}{2,598,960} \).

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Key Concepts

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

Probability Theory
Probability theory is a branch of mathematics that deals with quantifying the likelihood of events. It is fundamental in understanding how often we can expect certain outcomes to occur during random processes, such as dealing cards from a shuffled deck. In card games, each card drawn alters the composition of the deck and therefore changes the probabilities of future events.

For example, in the exercise provided, the concept of probability is applied to determine how likely it is to draw a hand consisting entirely of spades, or one consisting of just spades and clubs. The calculations hinge on a key principle of probability: the ratio of the number of favorable outcomes to the total number of possible outcomes.

In a 52-card deck, there are initially an equal number of cards in each suit, so the probability of drawing a card from any particular suit is the same. As we draw more cards without replacement, the probability of drawing a card from a specific suit changes in a predictable way, which can be mathematically analyzed using probability theory.
Combinatorics in Probability
Combinatorics is a field of mathematics primarily concerned with counting, combinations, and permutations, which is crucial when calculating probabilities, especially in games like poker where the order of events can significantly impact outcomes. The exercise demonstrates combinatorics through the counting of possible hands from a standard deck.

A standard 52-card deck can be arranged in a vast number of possible combinations when dealt into a hand of five cards. This is often calculated using the combinatorial function known as 'n choose k', which is the number of ways to choose k items from a set of n, regardless of order. When you multiply the number of combinations by the number of suits, as in Step 2 of the solution, you use combinatorial principles to find the number of hands consisting of a single suit.

Combinatorics is particularly helpful for understanding the large quantities involved in card probabilities and can simplify seemingly complex problems into more manageable calculations.
Statistical Outcomes
In the context of probability in card games, 'statistical outcomes' refers to the results that arise from the multitude of ways cards can be distributed. These outcomes are fundamental to making predictions about future events, such as the likelihood of being dealt a particular hand.

In the exercise, statistical outcomes are highlighted by the number of possible hands that can be dealt from the deck. With 2,598,960 total hands possible, grasping the scale and using it to calculate probabilities is a key part of solving probability problems. These outcomes are also influenced by conditions, such as requiring that a hand consists of only spades and clubs with both suits represented, which reduces the number of favorable outcomes to 63,206 for that specific scenario.

Understanding how to work with statistical outcomes is pivotal when applying probability theory to real-life situations. It allows us to make informed decisions based on the likelihood of various events, which is valuable in fields ranging from gaming to finance.

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Most popular questions from this chapter

The probability of getting a king when a card is selected at random from a standard deck of 52 playing cards is \(\frac{1}{13}\). a. Give a relative frequency interpretation of this probability. b. Express the probability as a decimal rounded to three decimal places. Then complete the following statement: If a card is selected at random, I would expect to see a king about_____ times in 1000 .

According to The Chronicle for Higher Education (Aug. 26, 2011), there were 787,325 Associate degrees awarded by U.S. community colleges in the \(2008-2009\) academic year. A total of 488,142 of these degrees were awarded to women. a. If a person who received an Associate degree in 2008 2009 is selected at random, what is the probability that the selected person will be female? b. What is the probability that the selected person will be male?

Each time a class meets, the professor selects one student at random to explain the solution to a homework problem. There are 40 students in the class, and no one ever misses class. Luke is one of these students. What is the probability that Luke is selected both of the next two times that the class meets? (Hint: See Example 5.8 )

Four students must work together on a group project. They decide that each will take responsibility for a particular part of the project, as follows: Because of the way the tasks have been divided, one student must finish before the next student can begin work. To ensure that the project is completed on time, a time line is established, with a deadline for each team member. If any one of the team members is late, the timely completion of the project is jeopardized. Assume the following probabilities: 1\. The probability that Maria completes her part on time is 0.8 2\. If Maria completes her part on time, the probability that Alex completes on time is \(0.9,\) but if Maria is late, the probability that Alex completes on time is only 0.6 . 3\. If Alex completes his part on time, the probability that Juan completes on time is \(0.8,\) but if \(\mathrm{Alex}\) is late, the probability that Juan completes on time is only 0.5 . 4\. If Juan completes his part on time, the probability that Jacob completes on time is \(0.9,\) but if Juan is late, the probability that Jacob completes on time is only 0.7 . Use simulation (with at least 20 trials) to estimate the probability that the project is completed on time. Think carefully about this one. For example, you might use a random digit to represent each part of the project (four in all). For the first digit (Maria's part), \(1-8\) could represent on time, and 9 and 0 could represent late. Depending on what happened with Maria (late or on time), you would then look at the digit representing Alex's part. If Maria was on time, \(1-9\) would represent on time for Alex, but if Maria was late, only \(1-6\) would represent on time. The parts for Juan and Jacob could be handled similarly.

The student council for a school of science and math has one representative from each of five academic departments: Biology (B), Chemistry (C), Mathematics (M), Physics (P), and Statistics (S). Two of these students are to be randomly selected for inclusion on a university-wide student committee. a. What are the 10 possible outcomes? b. From the description of the selection process, all outcomes are equally likely. What is the probability of each outcome? c. What is the probability that one of the committee members is the statistics department representative? d. What is the probability that both committee members come from laboratory science departments?

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