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Number Of Permutations Of N Different Things Taken R At Once Given One Specific Thing Always Occurs Calculator

Formula Used:

\[ P = \frac{(r!) \times ((n-1)!)}{(n-r)! \times (r-1)!} \]

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1. What is the Number of Permutations Formula?

This formula calculates the number of distinct arrangements (permutations) of 'N' different things taken 'R' at a time, given that one specific thing always occurs in each selection.

2. How Does the Calculator Work?

The calculator uses the permutation formula:

\[ P = \frac{(r!) \times ((n-1)!)}{(n-r)! \times (r-1)!} \]

Where:

Explanation: The formula accounts for the constraint that one specific item must always be included in each permutation, reducing the effective selection pool.

3. Importance of Permutation Calculation

Details: Calculating permutations with constraints is crucial in combinatorial mathematics, probability theory, and various real-world applications where specific items must be included in arrangements.

4. Using the Calculator

Tips: Enter positive integer values for N and R, where N must be greater than or equal to R. The calculator will compute the number of valid permutations.

5. Frequently Asked Questions (FAQ)

Q1: Why subtract 1 from n in the numerator?
A: Because one specific item is always included, we're effectively working with n-1 items for the remaining selections.

Q2: What is the range of valid values for n and r?
A: Both n and r must be positive integers, and r must be less than or equal to n.

Q3: How does this differ from regular permutations?
A: Regular permutations formula is nPr = n!/(n-r)!, while this formula incorporates the constraint that one specific item must always be included.

Q4: Can this formula handle large values of n and r?
A: While mathematically sound, very large values may cause computational limitations due to factorial calculations.

Q5: What are practical applications of this formula?
A: Useful in scheduling problems, tournament arrangements, and combinatorial designs where certain elements must always be present.

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