Problem 30
Question
Twelve children are divided up into three groups, of five, four, and three children, respectively. In how many ways can this be done if the order within each group is not important?
Step-by-Step Solution
Verified Answer
There are 27,720 ways to divide the children into groups of 5, 4, and 3.
1Step 1: Calculate Ways to Select the First Group
Since the order within the group is not important, we can use combinations to determine the number of ways to select the first group of 5 children from the total of 12. This is given by the combination formula: \( \binom{12}{5} = \frac{12!}{5!(12-5)!} \). Calculate this value to find the number of ways to select the first group.
2Step 2: Calculate Ways to Select the Second Group
After selecting the first group of 5 children, 7 children remain. We need to form the second group with 4 of these remaining children. The number of ways to do this is \( \binom{7}{4} = \frac{7!}{4!(7-4)!} \). Calculate this value to find the number of ways to select the second group.
3Step 3: Calculate Ways to Form the Last Group
Once the first two groups have been formed, the remaining 3 children automatically form the last group. Since there is only one way to choose all 3 remaining children, it is straightforwardly \( \binom{3}{3} = 1 \).
4Step 4: Multiply to Find the Total Arrangements
Multiply the number of ways calculated in Steps 1, 2, and 3. This will give the total number of ways to divide the children into three groups of 5, 4, and 3 respectively. The total number of ways is given by \( \binom{12}{5} \times \binom{7}{4} \times \binom{3}{3} \).
5Step 5: Evaluate the Numerical Result
Calculate each combination: \( \binom{12}{5} = 792 \), \( \binom{7}{4} = 35 \), and \( \binom{3}{3} = 1 \). Multiply these values together: \( 792 \times 35 \times 1 = 27720 \). Thus, there are 27,720 ways to divide the children into the specified groups.
Key Concepts
Permutations and CombinationsCombinatoricsMathematical Counting Principles
Permutations and Combinations
Understanding the difference between permutations and combinations is crucial when dealing with problems related to arranging or grouping objects. **Permutations** refer to the different arrangements of a set of items where the order matters. For example, arranging students in line involves permutations because the order in which they stand affects the outcome.
Conversely, **combinations** are used when the order does not matter. This is exactly what is used in our problem about dividing children into groups. The formula for combinations, which is denoted as \( \binom{n}{r} \), represents the number of ways to choose \( r \) items from \( n \) without regard to the order of selection. Mathematically, it is represented as:
\[ \binom{n}{r} = \frac{n!}{r!(n-r)!} \] where \( n! \) (n factorial) is the product of all positive integers less than or equal to \( n \).
In permutation problems, if each arrangement of items is distinct due to the order of selection, then permutations are used, often calculated with: \[ P(n, r) = \frac{n!}{(n-r)!} \]. Hence, choosing the right method between permutations and combinations depends on whether the order matters in the given scenario.
Conversely, **combinations** are used when the order does not matter. This is exactly what is used in our problem about dividing children into groups. The formula for combinations, which is denoted as \( \binom{n}{r} \), represents the number of ways to choose \( r \) items from \( n \) without regard to the order of selection. Mathematically, it is represented as:
\[ \binom{n}{r} = \frac{n!}{r!(n-r)!} \] where \( n! \) (n factorial) is the product of all positive integers less than or equal to \( n \).
In permutation problems, if each arrangement of items is distinct due to the order of selection, then permutations are used, often calculated with: \[ P(n, r) = \frac{n!}{(n-r)!} \]. Hence, choosing the right method between permutations and combinations depends on whether the order matters in the given scenario.
Combinatorics
Combinatorics is a branch of mathematics dealing with counting, arrangement, and combination of objects. It is a field that includes a variety of techniques used for calculating possible configurations of objects and is essential for understanding complex problems in fields like computer science, physics, and engineering.
In the context of our exercise, combinatorics helps in determining how many ways we can divide a set of twelve children into groups without considering any order within each group. We apply combinations to find the number of ways to select specific groups of children from the total set:
In the context of our exercise, combinatorics helps in determining how many ways we can divide a set of twelve children into groups without considering any order within each group. We apply combinations to find the number of ways to select specific groups of children from the total set:
- First, choose a group of 5 from 12 children using \( \binom{12}{5} \).
- Then, choose 4 from the remaining 7 children using \( \binom{7}{4} \).
- The final remaining children automatically form the last group since there are no choices left, calculated as \( \binom{3}{3} \).
Mathematical Counting Principles
Mathematical Counting Principles are foundational concepts that guide us in determining the number of ways events can occur. They encompass rules and formulas that simplify the counting of combinations, permutations, and arrangements of sets.
In the given problem, the counting principle is applied through a step-by-step decomposition of the total grouping task:
In the given problem, the counting principle is applied through a step-by-step decomposition of the total grouping task:
- **Product Rule**: Multiply together the number of ways to accomplish each step in a multi-step procedure. For instance, once groups are formed step-by-step, multiplying these combinations \( \binom{12}{5} \times \binom{7}{4} \times \binom{3}{3} \) gives the total number of ways.
- **Sum Rule**: This would apply if there were different, non-overlapping processes contributing to a task.
Other exercises in this chapter
Problem 30
Suppose that \(X\) is normally distributed with mean \(-1\) and standard deviation 2. Find \(P(-3.5 \leq X \leq 0.5)\).
View solution Problem 30
An urn contains four green and three blue balls. You take one ball out of the urn, note its color, and replace it. You then take a second ball out of the urn, n
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For \(n=50\) and \(p=0.5\), compute \(P\left(S_{n}=25\right)\) (a) exactly, (b) by using a Poisson approximation, and (c) by using a normal approximation.
View solution Problem 31
We have two formulas for computing the variance of \(X\), namely, $$\operatorname{var}(X)=E[X-E(X)]^{2}$$ and $$\operatorname{var}(X)=E\left(X^{2}\right)-[E(X)]
View solution