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Refer to exercise \(5.11\) for information about cards. If you draw one card randomly from a standard 52 -card playing deck, what is the probability that it will be the following: a. A black card b. A diamond c. A face card (jack, queen, or king) d. A nine e. A king or queen

Short Answer

Expert verified
a) 0.5, b) 0.25, c) 0.231, d) 0.077, e) 0.154

Step by step solution

01

Probability of drawing a black card

Half of the deck is black, which means there are 26 black cards in the deck. Thus, the probability is \( P = \frac{26}{52} = 0.5 \).
02

Probability of drawing a diamond

A quarter of the deck is made of each suit, so there are 13 diamond cards in a deck. So the probability is \( P = \frac{13}{52} = 0.25 \).
03

Probability of drawing a face card

There are three types of face cards: king, queen, and jack. As there is one of each in every suit, there are \( 3 * 4 = 12 \) face cards in total. Thus, the probability is \( P = \frac{12}{52} = 0.231 \).
04

Probability of drawing a nine

Like any other individual card, there are four nines in the deck (one of each suit). Thus, the probability is \( P = \frac{4}{52} = 0.077 \).
05

Probability of drawing a king or a queen

There are four kings and four queens in the deck, so eight successful outcomes in total. Thus, the probability is \( P = \frac{8}{52} = 0.154 \).

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Key Concepts

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

Probability Principles
Understanding probability principles is crucial when working with any sort of unpredictable event, such as drawing cards from a deck. One fundamental principle of probability is that it's a measure of how likely an event is to occur, ranging from 0 (impossible event) to 1 (certain event). It's important to know that the sum of the probabilities of all possible outcomes of a single experiment must be 1.
In the context of drawing cards, each card has an equal chance of being chosen because the deck is well-shuffled. This is an example of a uniform probability model. When we calculate the probability of drawing a black card, we apply the principle that the chance of an event occurring is the number of successful outcomes over the total number of possible outcomes. Since there are 26 black cards and the deck has 52 cards in total, this results in a probability of 0.5, meaning there's an equal chance of drawing a black card or not drawing one.
Probability Calculations
Probability calculations in the realm of a standard playing deck involve understanding and applying basic arithmetic to find the likelihood of different card combinations. The probability formula for an event E in a finite sample space is defined as:
\[\begin{equation}P(E) = \frac{\text{number of favorable outcomes}}{\text{total number of possible outcomes}}\end{equation}\]
The foundational step is to count the favorable outcomes for the event and then place that number over the total count of possible outcomes. For example, to calculate the probability of drawing a face card, we consider that there are 12 face cards out of 52 total cards. This is a straightforward example of applying the probability formula, resulting in a probability of approximately 0.231.
Standard Playing Deck Probabilities
When it comes to standard playing deck probabilities, it's important to visualize the deck's composition: 52 cards with 4 suits (hearts, diamonds, clubs, and spades), and each suit has 13 ranks (numbers 2 through 10, and face cards Jack, Queen, King, and Ace).
For more intricate probabilities involving combinations, such as the chance of drawing a king or a queen, we must remember that these events are not mutually exclusive; a card can be a king or a queen. There are 4 kings and 4 queens, yielding 8 possible outcomes that satisfy the condition, out of the 52-card deck. Therefore, the probability calculation for this combined event is:
\[\begin{equation}P(\text{king or queen}) = \frac{8}{52} = 0.154\end{equation}\]
Through understanding the composition and probabilities associated with a standard deck, one can apply the principles of probability to any card-related question and arrive at accurate solutions.

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