\((n+k-1)C_{k-1}\)
\((n)C_{k-1}\)
\(^{(n-1)}C_{{k-1}}\)
\((n+k-1)C_{k}\)
\(nC_{k}\)
Given: We need to distribute \( n \) identical balls into \( k \) distinct boxes.
The number of ways to distribute \( n \) identical items into \( k \) distinct boxes is given by the formula:
\[ \text{Number of ways} = \binom{n + k - 1}{k - 1} \]
This formula comes from the stars and bars theorem, where we represent the balls as stars and the dividers between boxes as bars. We need \( k - 1 \) bars to divide \( n \) stars into \( k \) groups.
Let's verify the options:
Therefore, the correct answer is (C) \( \binom{n + k - 1}{k - 1} \).
The number of ways to distribute \( n \) identical balls into \( k \) distinct boxes is given by the stars and bars method. We have \( n \) identical balls (stars) and we want to divide them into \( k \) boxes. To do this, we need \( k-1 \) dividers (bars).
The number of ways to arrange \( n \) stars and \( k-1 \) bars is given by:
\[ \binom{n+k-1}{k-1} = \binom{n+k-1}{n} \]
Therefore, there are \( \binom{n+k-1}{k-1} \) ways to distribute \( n \) identical balls into \( k \) distinct boxes.
Permutation is the method or the act of arranging members of a set into an order or a sequence.
Combination is the method of forming subsets by selecting data from a larger set in a way that the selection order does not matter.