Statistics and Maple: Constructing a Team of 4 from 3 Groups"

In summary: You have 89-3 = 86 people remaining to choose from, which you can do in numbcomb(86,1) ways.In summary, the first question asks how many ways a team of 4 people can be constructed from three groups of 21, 18, and 50 people, and the answer is numbcomb(21+18+50,4). The second question adds the requirement that there must be at least one person from each group in the team, which can be calculated by first choosing 1 person from each group, and then choosing 1 more person from the remaining 86 people, giving a total of numbcomb(86,1) ways.
  • #1
Mathman2013
23
1

Homework Statement



We have three groups, group 1 contains 21 people, group two contains 18 people and group 3 contain 50 people.

First we need to construct a team of 4 people of three groups.

How many ways can such a team be constructed?

I use combinate such that it will be calculated in Maple.

numbcomb(21+18+50, 4) is number of ways this group can constructed.


second question is tricky one.

How many ways can the group of 4 be constructed if its a requirement that there must be at least one person from each group in the group of 4 ?

The Attempt at a Solution



I know its numbcomb(21+18+50,4) to be used to again. But I am not sure howto proceed.

So any hints of help would be apriacated.
 
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  • #2
Mathman2013 said:

Homework Statement



We have three groups, group 1 contains 21 people, group two contains 18 people and group 3 contain 50 people.

First we need to construct a team of 4 people of three groups.

How many ways can such a team be constructed?

I use combinate such that it will be calculated in Maple.

numbcomb(21+18+50, 4) is number of ways this group can constructed.second question is tricky one.

How many ways can the group of 4 be constructed if its a requirement that there must be at least one person from each group in the group of 4 ?

The Attempt at a Solution



I know its numbcomb(21+18+50,4) to be used to again. But I am not sure howto proceed.

So any hints of help would be apriacated.

Using numbcomb(89,4) again would be a mistake, unless you were willing to perform the very laborious process of then subtracting out the "illegitimate" combinations.

Much easier: first make sure you choose 1 person from each group, giving you a partial group of 3 people. Then you need to choose 1 more person.
 

1. What is the purpose of constructing a team of 4 from 3 groups using statistics and Maple?

The purpose of this task is to use statistical analysis and the software Maple to create a team of 4 individuals from 3 different groups, while ensuring that the team has a balanced representation of each group. This can be useful in various scenarios such as creating diverse work teams or balancing the skill sets of a project team.

2. How does Maple help with constructing the team of 4?

Maple is a powerful software that can perform various statistical calculations and analysis. It can help with constructing a team of 4 by generating random samples from the given groups, calculating the mean and standard deviation of each group, and determining the best combination of individuals to form a balanced team.

3. What is the importance of using statistics in this task?

Statistics is important in this task because it allows us to make data-driven decisions and ensure that the team is truly balanced. By using statistical measures such as mean and standard deviation, we can objectively evaluate the characteristics of each group and create a team that is representative of all three groups.

4. Can this method be applied to other scenarios besides creating a team?

Yes, this method can be applied to various scenarios where there is a need to create a representative group or team from a larger pool of individuals. For example, it can be used in market research to select a diverse sample of participants or in clinical trials to create a balanced control group.

5. Are there any limitations to using this method?

One limitation of using this method is that it relies on the assumption that the data from each group is normally distributed. If the data is skewed or has outliers, it may not accurately reflect the characteristics of the group. Additionally, this method may not be suitable for scenarios where there are strict requirements for team composition, such as gender or ethnicity quotas.

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