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What is the probability of drawing a red card in a standard deck of 52 cards?

Short Answer

Expert verified
The probability of drawing a red card is \( \frac{1}{2} \).

Step by step solution

01

Understanding the Deck

A standard deck of cards consists of 52 cards, which are divided into four suits: hearts, diamonds, clubs, and spades. Each suit contains 13 cards. The hearts and diamonds are red suits, containing 26 red cards in total.
02

Setting Up the Probability Formula

The probability of an event occurring is calculated by dividing the number of favorable outcomes by the total number of possible outcomes. In this case, the favorable outcomes are drawing a red card, and the total outcomes are drawing any card from the deck.
03

Calculating the Probability

There are 26 red cards in a deck and 52 cards in total. Using the probability formula, calculate the probability of drawing a red card: \[\text{Probability} = \frac{\text{Number of red cards}}{\text{Total number of cards}} = \frac{26}{52}\]
04

Simplifying the Fraction

Simplify the fraction \( \frac{26}{52} \) by finding the greatest common divisor (GCD) of 26 and 52, which is 26. Divide both the numerator and the denominator by 26 to get \( \frac{1}{2} \).

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Key Concepts

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

Deck of Cards
A standard deck of cards is a foundational concept in many probability exercises. It consists of 52 cards equally distributed among four suits: hearts, diamonds, clubs, and spades. Each suit holds 13 cards, and the suits can be grouped by color. Hearts and diamonds are red suits, adding up to a total of 26 red cards. Meanwhile, the suits of clubs and spades are considered black and account for the remaining 26 cards.

Understanding how a deck is structured is essential for calculating probabilities, especially when you must determine the chance of drawing a specific card. By recognizing the division of cards by suit and color, you gain insights into how card distributions affect the likelihood of drawing various types of cards.
Probability Formula
Calculating probabilities involves using a straightforward formula that helps predict how likely an event is to occur. This formula requires two key numbers: the number of favorable outcomes and the total number of possible outcomes. These components are used in the formula:

\[\text{Probability} = \frac{\text{Number of favorable outcomes}}{\text{Total number of possible outcomes}}\]

Applying this to the example of drawing a red card from a standard deck, the favorable outcomes are the 26 red cards, and the total outcomes are the 52 cards in the deck. This allows you to set up the probability as \(\frac{26}{52}\).

Understanding and using this formula correctly is fundamental to solving probability problems across different contexts. It provides a clear method for determining the likelihood of simple or complex events.
Simplifying Fractions
After setting up a probability calculation, simplifying the resulting fraction is a crucial step. Simplifying makes the fraction easier to interpret and compare to other probabilities. The simplification process requires finding the greatest common divisor (GCD) of the numerator and denominator. This tells us by how much we can reduce the fraction.

In the case of the fraction \(\frac{26}{52}\), both the numerator and the denominator can be divided by 26, which is their GCD. This results in the simplest form: \(\frac{1}{2}\).

Always aim to express probabilities in their simplest forms as it makes the results cleaner and easier to understand. This not only helps in probability scenarios, but is also a valuable skill when working with fractions in general.

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Most popular questions from this chapter

When the Euro coin was introduced in 2002, two math professors had their statistics students test whether the Belgian one Euro coin was a fair coin. They spun the coin rather than tossing it and found that out of 250 spins, 140 showed a head (event H) while 110 showed a tail (event T). On that basis, they claimed that it is not a fair coin. a. Based on the given data, find P(H) and P(T). b. Use a tree to find the probabilities of each possible outcome for the experiment of tossing the coin twice. c. Use the tree to find the probability of obtaining exactly one head in two tosses of the coin. d. Use the tree to find the probability of obtaining at least one head.

Use the following information to answer the next two exercises. You are rolling a fair, six-sided number cube. Let E = the event that it lands on an even number. Let M = the event that it lands on a multiple of three. What does P(E|M) mean in words?

An experiment consists of first rolling a die and then tossing a coin. a. List the sample space. b. Let A be the event that either a three or a four is rolled first, followed by landing a head on the coin toss. Find P(A). c. Let B be the event that the first and second tosses land on heads. Are the events A and B mutually exclusive? Explain your answer in one to three complete sentences, including numerical justification.

After Rob Ford, the mayor of Toronto, announced his plans to cut budget costs in late 2011, the Forum Research polled 1,046 people to measure the mayor’s popularity. Everyone polled expressed either approval or disapproval. These are the results their poll produced: • In early 2011, 60 percent of the population approved of Mayor Ford’s actions in office. • In mid-2011, 57 percent of the population approved of his actions. • In late 2011, the percentage of popular approval was measured at 42 percent. a. What is the sample size for this study? b. What proportion in the poll disapproved of Mayor Ford, according to the results from late 2011? c. How many people polled responded that they approved of Mayor Ford in late 2011? d. What is the probability that a person supported Mayor Ford, based on the data collected in mid-2011? e. What is the probability that a person supported Mayor Ford, based on the data collected in early 2011?

A special deck of cards has ten cards. Four are green, three are blue, and three are red. When a card is picked, its color of it is recorded. An experiment consists of first picking a card and then tossing a coin. a. List the sample space. b. Let A be the event that a blue card is picked first, followed by landing a head on the coin toss. Find P(A). c. Let B be the event that a red or green is picked, followed by landing a head on the coin toss. Are the events A and B mutually exclusive? Explain your answer in one to three complete sentences, including numerical justification. d. Let C be the event that a red or blue is picked, followed by landing a head on the coin toss. Are the events A and C mutually exclusive? Explain your answer in one to three complete sentences, including numerical justification.

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