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Question

Question: How do you evaluate \({}^9{P_3}\)?...

How do you evaluate 9P3{}^9{P_3}?

Explanation

Solution

use the formula for permutation and substitute the values of n and r in the formula. After substituting the required values solve the factorial to get the desired answer.

Complete step by step solution:
In the above question we are required to evaluate the value of 9P3^9{P_3}
We know that,
nPr=n!(nr)!^n{P_r} = \dfrac{{n!}}{{(n - r)!}}
On comparing the given equation with the above formula we come to the conclusion that
n=9n = 9 and
r=3r = 3
Now substitute the values of n and r in the formula and we reach:
9P3=9!(93)!^9{P_3} = \dfrac{{9!}}{{(9 - 3)!}}
On simplifying we get
9P3=9!(6)!^9{P_3} = \dfrac{{9!}}{{(6)!}}
Which can also be written as
9P3=9×8×7×6!(6)!^9{P_3} = \dfrac{{9 \times 8 \times 7 \times 6!}}{{(6)!}}
On further simplifying we get
9P3=9×8×7^9{P_3} = 9 \times 8 \times 7

9P3=504^9{P_3} = 504

Note:
Factorial is defined as the product of all natural numbers less than or equal to a given number.
For the natural number ‘n’, it’s factorial is denoted as n!
And n!=n(n1)(n2)(n3)(n4)....3×2×1n! = n(n - 1)(n - 2)(n - 3)(n - 4)....3 \times 2 \times 1
Remember that:
0!=1 1!=1  0! = 1 \\\ 1! = 1 \\\
And
The permutation is the arrangement of objects in a definite order.
The number of permutations of n different objects taken r at a time without replacement, where 0<rn0 < r \leqslant n, is given by:
nPr=n!(nr)!^n{P_r} = \dfrac{{n!}}{{(n - r)!}}
The selection of some or all objects from a given set of different objects where the order of selection is not considered is called Combination. Therefore, the number of combinations of n different objects taken r objects out of them without replacement, 0<rn0 < r \leqslant n, is given by:
nCr=n!r!(nr)!=nPrr!^n{C_r} = \dfrac{{n!}}{{r!(n - r)!}} = \dfrac{{^n{P_r}}}{{r!}}
Remember:
If in a problem statement, you are asked for selection and their ordering, then you should use permutation.
In simple words, we can say that,
Permutation=Selecting + Ordering
If in any problem statement, you are asked only for selection then you should use a combination.
In simple words, we say that,
Combination= Selection.