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In the U.S. Senate, there are 21 members on the Committee on Banking, Housing, and Urban Affairs. Nine of these 21 members are selected to be on the Subcommittee on Economic Policy. How many different committee structures are possible for this subcommittee?

Short Answer

Expert verified
There are 293,930 different committee structures possible.

Step by step solution

01

Identify the problem type

Recognize that this is a combination problem; you need to find how many ways you can choose a subset of 9 members out of a larger set of 21 members. The order in which members are selected does not matter.
02

Understand the combination formula

The number of ways to choose a subset of size r (in this case, 9) from a set of size n (in this case, 21) is given by the combination formula \( \binom{n}{r} = \frac{n!}{r!(n-r)!} \).
03

Assign values to the combination formula

Assign the values from the problem into the combination formula: \( n = 21 \) and \( r = 9 \). Therefore, the formula becomes: \[ \binom{21}{9} = \frac{21!}{9!(21-9)!} = \frac{21!}{9!12!} \].
04

Calculate factorials

Compute the factorials involved. However, it's often easier to use a combination calculator or a math tool, as these numbers can be very large: \( 21! \), \( 9! \), and \( 12! \).
05

Simplify the combination

Simplify the expression \( \frac{21!}{9!12!} \). This yields a result of 293,930.
06

State the final answer

There are 293,930 different ways to structure the subcommittee.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Combination Formula
In statistics, the combination formula helps us determine the number of ways to choose a subset of items from a larger set. It's essential when the order of selection doesn’t matter. This is different from permutations, where order does count. The combination formula is represented as: \ \( \binom{n}{r} = \frac{n!}{r!(n-r)!} \), where \(n\) is the total number of items, and \(r\) is the number of items to choose. In the given problem, \(n = 21\) and \(r = 9\). This calculates to: \ \[ \binom{21}{9} = \frac{21!}{9!(21-9)!} = \frac{21!}{9!12!} \].
This formula might look complex at first, but understanding each part makes it easier. The exclamation mark (!) denotes a factorial, which we'll explain next.
Factorials
Factorials are a fundamental part of the combination formula. A factorial, denoted by an exclamation mark (!), represents the product of all positive integers up to a given number.
For example:
  • \( 5! = 5 \times 4 \times 3 \times 2 \times 1 = 120 \)
  • \( 3! = 3 \times 2 \times 1 = 6 \)
  • \( 1! = 1 \)
  • \( 0! = 1 \) by definition.
    In our problem, we'd need to compute \( 21! \), \( 9! \), and \( 12! \). Computing these directly can be cumbersome due to their large size, so using a calculator or a math tool is helpful.
    Plugging these into the combination formula: \ \[ \binom{21}{9} = \frac{21!}{9!12!} \], simplifies to 293,930 ways to choose 9 members out of 21 for the subcommittee.
Subsets
Subsets are a smaller group of elements selected from a larger group. In combinatorics, subsets are comprised of elements chosen without regard to order. This makes combinations an ideal way to calculate the number of possible subsets.
For the Subcommittee on Economic Policy example, we are choosing a subset of 9 members out of a total of 21. Each potential group is a subset of the original committee.
It's important to note that if order did matter, we would be dealing with permutations instead of combinations. But here, since we only care about which members are chosen, not the sequence in which they are selected, combinations apply.
Using the combination formula, we find that there are exactly 293,930 possible subsets (committee structures) for the subcommittee. This ensures we account for all different groups that can be formed without considering order.

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Most popular questions from this chapter

The data in the following table show the results of a national study of 137,243 U.S. men that investigated the association between cigar smoking and death from cancer. Note: Current cigar smoker means "cigar smoker at time of death." $$\begin{array}{|l|c|}\hline & \text { Died from cancer } & \text { Did not die from cancer } \\ \hline \text { Never smoked cigars } & 782 & 120,747 \\\\\hline \text { Former cigar smoker } & 91 & 7,757 \\ \hline \text { Current cigar smoker } & 141 & 7,725 \\\\\hline\end{array}$$ (a) What is the probability that a randomly selected individual from the study who died from cancer was a former cigar smoker? (b) What is the probability that a randomly selected individual from the study who was a former cigar smoker died from cancer?

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