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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

Use the following information to answer the next six exercises. A jar of 150 jelly beans contains 22 red jelly beans, 38 yellow, 20 green, 28 purple, 26 blue, and the rest are orange. Let B = the event of getting a blue jelly bean Let G = the event of getting a green jelly bean. Let O = the event of getting an orange jelly bean. Let P = the event of getting a purple jelly bean. Let R = the event of getting a red jelly bean. Let Y = the event of getting a yellow jelly bean. Find P(G)

Given events J and K: P(J) = 0.18; P(K) = 0.37; P(J OR K) = 0.45 a. Find P(J AND K). b. Find the probability of the complement of event (J AND K). c. Find the probability of the complement of event (J AND K).

An experiment consists of tossing a nickel, a dime, and a quarter. Of interest is the side the coin lands on. a. List the sample space. b. Let A be the event that there are at least two tails. 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 justification.

Use the following information to answer the next two exercises. Suppose that you have eight cards. Five are green and three are yellow. The cards are well shuffled. Suppose that you randomly draw two cards, one at a time, with replacement. Let G1 = first card is green Let G2 = second card is green a. Draw a tree diagram of the situation. b. Find P(G1 AND G2). c. Find P(at least one green). d. Find P(G2|G1).

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.

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