Problem 35
Question
You randomly select one card from a 52-card deck. Find the probability of selecting: a red 2 or a black 3
Step-by-Step Solution
Verified Answer
The probability of selecting either a red 2 or a black 3 from a 52-card deck is \(\frac{1}{13}\).
1Step 1: Determining the number of desired cards
In a 52-card deck, there are two red 2s (diamonds and hearts), and two black 3s (clubs and spades). Thus, the total number of desired cards is 2 + 2 which equals 4.
2Step 2: Calculate total number of outcomes
The total number of outcomes is equivalent to the total number of cards in the deck which is 52.
3Step 3: Calculating Probability
The probability is computed by dividing the number of desired outcomes by the total number of outcomes. Thus, the probability of selecting either a red 2 or a black 3 is \(\frac{4}{52} = \frac{1}{13}\)
Key Concepts
CombinatoricsCard ProbabilityBasic Probability Concepts
Combinatorics
Combinatorics is a branch of mathematics focused on counting, arranging, and combination of elements within a set. It helps us calculate probabilities by allowing us to figure out how many ways we can arrange or select items from a set.
For example, in our card problem, combinatorics helps determine the number of specific cards we can draw – such as the two red 2s and the two black 3s from a deck of 52 cards.
Counting these specific cards gives us 4 cards of interest out of a deck of 52. Combinatorics provides the foundational tools to make these precise calculations, ensuring we consider only the configurations relevant to our problem. This methodical counting process is the first step in computing probabilities effectively.
For example, in our card problem, combinatorics helps determine the number of specific cards we can draw – such as the two red 2s and the two black 3s from a deck of 52 cards.
- When we say there are two red 2s, we count the 2 of hearts and the 2 of diamonds.
- For the black 3s, we count the 3 of clubs and the 3 of spades.
Counting these specific cards gives us 4 cards of interest out of a deck of 52. Combinatorics provides the foundational tools to make these precise calculations, ensuring we consider only the configurations relevant to our problem. This methodical counting process is the first step in computing probabilities effectively.
Card Probability
Calculating card probabilities revolves around determining the likelihood of drawing a specific card or set of cards from a standard 52-card deck. Each card in the deck provides different outcomes, and understanding these is key to solving probability problems.
In our problem, we want to determine the probability of drawing either a red 2 or a black 3. To find this:
Then by dividing the number of favorable outcomes (4) by the total number of possible outcomes (52), we validate that the probability of drawing a red 2 or a black 3 from the deck is \(\frac{1}{13}\). Card probability leverages both the total size of the deck and the specific characteristics of the cards to yield an accurate measure of likelihood.
In our problem, we want to determine the probability of drawing either a red 2 or a black 3. To find this:
- We identified 4 favorable outcomes: two red 2s and two black 3s.
- The total number of possible outcomes is the total number of cards, which is 52.
Then by dividing the number of favorable outcomes (4) by the total number of possible outcomes (52), we validate that the probability of drawing a red 2 or a black 3 from the deck is \(\frac{1}{13}\). Card probability leverages both the total size of the deck and the specific characteristics of the cards to yield an accurate measure of likelihood.
Basic Probability Concepts
To understand basic probability concepts, it's important to grasp where probabilities originate and how they are calculated. Probability measures how likely an event is to occur and is calculated using a simple formula: the number of desired outcomes divided by the total number of possible outcomes.
This results in a probability expressed as a fraction or a decimal between 0 and 1 – where 0 means the event is impossible, and 1 means the event is certain. In our card example, the probability of drawing a red 2 or a black 3 is \(\frac{1}{13}\), indicating it's a possible yet not very likely event. Understanding these basics helps in virtually any scenario where determining likelihood is required, making this concept invaluable across countless applications.
- Desired Outcomes: These are the events or results we're interested in – in our card exercise, drawing a red 2 or a black 3.
- Total Outcomes: This is the complete set of all possible options, here represented by all 52 cards in a deck.
This results in a probability expressed as a fraction or a decimal between 0 and 1 – where 0 means the event is impossible, and 1 means the event is certain. In our card example, the probability of drawing a red 2 or a black 3 is \(\frac{1}{13}\), indicating it's a possible yet not very likely event. Understanding these basics helps in virtually any scenario where determining likelihood is required, making this concept invaluable across countless applications.
Other exercises in this chapter
Problem 34
Find each indicated sum. $$\sum_{k=1}^{4}(k-3)(k+2)$$
View solution Problem 35
Write the first three terms in each binomial expansion, expressing the result in simplified form. $$ \left(x^{2}+1\right)^{16} $$
View solution Problem 35
In Exercises \(35-36,\) find \(S_{1}\) through \(S_{5}\) and then use the pattern to make a conjecture about \(S_{n}\). Prove the conjectured formula for \(S_{n
View solution Problem 35
Use the formula for \(_{n} P_{r}\) to solve Exercises \(33-40\) For a segment of a radio show, a disc jockey can play 7 records. If there are 13 records to sele
View solution