Set Theory Question(inclusion-exclusion principle related)

In summary, the auto insurance company has a total of 10,000 policyholders, with 3000 being young, 4600 being male, and 7000 being married. Of these, there are 1320 young males, 3010 married males, and 1400 young married persons. Finally, there are 600 young married males. Using these numbers, it is possible to find the number of young females and single females. However, the precise number of young, female, and single policyholders cannot be determined with the given information.
  • #1
camcool21
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0

Homework Statement


An auto insurance has 10,000 policyholders. Each policyholder is classified as:
(i) young or old;
(ii) male or female;
(iii) married or single.
Of these policyholders, 3000 are young, 4600 are male, and 7000 are married. The policyholders can also be classi ed as 1320 young males, 3010 married males, and 1400 young married persons. Finally, 600 of the policyholders are young married males. How many of the company's policyholders are young, female, and single?

Homework Equations



[tex]|A \cup B| = |A| + |B| - |A \cap B|[/tex]​

The Attempt at a Solution



Y = young, O = old
M = male, F = female
MR = married, S = single
n(Y) = 3000
n(O) = 10000 - 3000 = 7000,
n(M) = 4600,
n(F) = 10000 - 4600 = 5400
n(MR) = 7000
n(S) = 10000 - 7000 = 3000
n(Y∩M) = 1320
n(MR∩M) = 3010
n(Y∩MR) = 1400
n(Y∩MR∩M) = 600

Try to find n(Y∩F∩S)?

That's all I can get from the question. This is starred in my textbook as a difficult problem. Any thoughts?
 
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  • #2
There is a few more you could write down. For instance, there are 3000 young people, and you know that 1320 of them are young males. Can you make a statement about how many young females there are, and then use this method to find other amounts?
 
  • #3
Let ysm,osm,ymm,omm = number of young single males, old single males, young married males and old married males, respectively. Similarly, define ysf, osf, ymf,omf. You are given a total of 8 conditions involving these 8 variables.

RGV
 

What is the inclusion-exclusion principle in set theory?

The inclusion-exclusion principle is a counting technique used in set theory to determine the size of a set formed by combining multiple smaller sets. It states that the size of the union of two sets is equal to the sum of their individual sizes minus the size of their intersection.

How is the inclusion-exclusion principle used in probability?

The inclusion-exclusion principle can be applied in probability to calculate the probability of events occurring in a given sample space. By finding the size of the union and intersection of different events, the probability of their occurrence can be determined.

What is the formula for the inclusion-exclusion principle?

The formula for the inclusion-exclusion principle is:

|A ∪ B| = |A| + |B| - |A ∩ B|

where |A| represents the size of set A, |B| represents the size of set B, and |A ∩ B| represents the size of the intersection of sets A and B.

Can the inclusion-exclusion principle be extended to more than two sets?

Yes, the inclusion-exclusion principle can be extended to more than two sets. The general formula for n sets is:

|A1 ∪ A2 ∪ ... ∪ An| = ∑|Ai| - ∑|Ai ∩ Aj| + ∑|Ai ∩ Aj ∩ Ak| - ... + (-1)n+1|A1 ∩ A2 ∩ ... ∩ An|

What are some real-world applications of the inclusion-exclusion principle?

The inclusion-exclusion principle has various applications in different fields, such as computer science, genetics, and statistics. It is used in the analysis of algorithms, DNA sequencing, and survey sampling, among others.

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