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# Difference Between Permutation and Combination      LIVE
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## What is Permutation and Combination: Introduction

To explain permutation and combination: Permutation and combination are mathematical concepts that deal with the arrangement and selection of elements. Permutation refers to the arrangement of objects in a specific order, considering every possible order or sequence. It calculates the number of ways objects can be arranged, taking into account all the different positions each object can occupy. On the other hand, combination focuses on the selection of objects from a given set without considering their order. It determines the number of ways objects can be chosen without repetition, where the order of selection does not matter. Both permutation and combination play vital roles in various fields, including probability, statistics, and combinatorial analysis. Let’s further know about them in detail.

### Defining Permutation

Permutation is a mathematical concept that deals with the arrangement of objects in a specific order. It refers to the different ways objects can be ordered or arranged, taking into account every possible order or sequence. The number of permutations can be calculated using factorial notation, where the factorial of a number represents the product of all positive integers less than or equal to that number. Permutations are used in various fields, such as combinatorics, probability, and statistics, to analyze and determine the number of possible arrangements or outcomes. They provide a foundation for understanding the possibilities and variations within a given set of elements.

• Order Matters: Permutations take into account the specific order or arrangement of elements. Even a slight change in the order of elements leads to a different permutation.

• No Repetition: In permutations, each element can only be used once. Once an element is placed in a position, it cannot be used again in the same arrangement.

• Exhaustive: Permutations consider all possible arrangements of elements within a set. Every element is utilized, and no combination is left out.

• Countable: The number of permutations can be determined using factorial notation. The factorial of a number represents the product of all positive integers less than or equal to that number.

• Applied in Probability and Combinatorics: Permutations are extensively used in fields such as probability theory, combinatorics, and statistics to calculate the number of possible outcomes or arrangements in different scenarios.

### Defining Combination

Combination is a mathematical concept that focuses on the selection of objects from a given set without considering their order. It represents the number of ways objects can be chosen, where the order of selection is not taken into account. Combinations are used to calculate the number of distinct subsets that can be formed from a larger set, without repetition. Unlike permutations, combinations do not consider the arrangement or order of the selected objects. They are often used in probability and statistics to analyze and calculate the likelihood of certain events or outcomes. Combinations provide a valuable tool for counting and organizing possibilities when order is not relevant.

• Order Does Not Matter: Unlike permutations, combinations do not consider the specific order or arrangement of elements. Different orders of the same elements are considered as the same combination.

• No Repetition: Combinations do not allow repetition of elements within a selection. Each element can only be chosen once in combination.

• Subset Selection: Combinations focus on selecting subsets from a larger set. It determines the number of distinct subsets that can be formed, without considering the order or repetition of elements.

• Countable: The number of combinations can be calculated using combinatorial formulas, such as the binomial coefficient or combination formula. These formulas involve factorial notation and provide the count of possible combinations.

• Probability and Combinatorial Analysis: Combinations are widely used in probability theory, combinatorics, and statistics to calculate the likelihood of certain events or outcomes. They are crucial in scenarios where the order of selection is irrelevant.

### Permutation and Combination Differences

 S.No Category Permutation Combination 1. Order Order matters (different arrangements) Order does not matter (same selection) 2. Counting Principle Permutations Count all possibilities Combinations Count distinct subsets 3. Subset Selection Not applicable (arrangements) Focuses on selecting subsets 4. Formula n! / (n - r)! n! / (r! * (n - r)!) 5. Notation nPr nCr 6. Example Arranging people in a line Selecting a committee from a group

Understanding the key differences between permutation and combination is crucial when tackling problems related to arrangement and selection within a set. This table differentiates on the basis of characteristics of permutation and combination

### Summary

Permutation deals with the arrangement of objects in a specific order, while combination focuses on the selection of subsets without considering their order. Permutations use the factorial formula, while combinations involve the binomial coefficient formula. The number of permutations can be calculated using the formula $\dfrac{n!}{(n - r)!}$ where n represents the total number of objects and r represents the number of objects being arranged. Whereas the number of combinations can be calculated using the formula $\dfrac{n!}{(r! \times (n - r)!)}$, where n represents the total number of objects and r represents the number of objects being selected.

Last updated date: 26th Sep 2023
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## FAQs on Difference Between Permutation and Combination

1. How do I calculate the number of permutations?

To calculate the number of permutations, you can use the formula $\dfrac{n!}{(n - r)!}$ where n represents the total number of objects and r represents the number of objects being arranged. Here's how it works: First, find the factorial of n by multiplying all positive integers from 1 to n. Then, subtract r from n and find the factorial of the result. Finally, divide the factorial of n by the factorial of (n - r). This formula accounts for the number of ways objects can be arranged in a specific order, considering all possible orders or sequences, without repetition.

2. What does repetition mean in permutations and combinations?

Repetition in permutations and combinations refers to whether or not an element can be used more than once in an arrangement or selection. In permutations, repetition is not allowed, which means that each element can only be used once in a specific order. For example, if arranging letters, once a letter is placed in a position, it cannot be repeated in the same arrangement. In combinations, repetition is also not allowed, indicating that each element can only be selected once without considering its order. Repetition adds an additional constraint and affects the number of possible outcomes in both permutations and combinations.

3. When should I use combinations?

Combinations should be used when the order of selection is not important, and the focus is on choosing subsets from a larger set. Combinations are suitable when the arrangement or order of elements does not matter. For example, selecting a committee from a group of individuals, choosing a team from a pool of players, or picking a combination of items from a menu. Combinations ignore the specific sequence or arrangement of the selected elements and only consider the distinct subsets. Thus, when the problem involves selecting a group without regard to their order, combinations provide an appropriate approach for analysis and calculation.

4. Can permutations and combinations be used in probability calculations?

Yes, permutations and combinations are commonly used in probability calculations. Permutations are used when calculating the probability of specific outcomes where the order matters, such as the probability of drawing a certain sequence of cards from a deck. Combinations, on the other hand, are employed when the order does not matter, such as the probability of selecting a particular group of objects from a larger set. Both concepts are fundamental in determining the number of favourable outcomes and total possible outcomes, enabling the calculation of probabilities in various scenarios and making them essential tools in probability theory and statistics.

5. Can you give an example of a real-life scenario where permutations or combinations are used?

When setting a password, you often need to choose from a set of characters, such as lowercase letters, uppercase letters, digits, and special symbols. The number of possible password combinations is determined by calculating the total number of permutations or combinations based on the available character options and password length. This ensures a wide range of unique password possibilities, enhancing security by making it difficult for others to guess or crack the password. Permutations and combinations help create a diverse set of password choices while considering the desired level of complexity.