Finding the cardinal number for the intersection of two sets

Click For Summary
The discussion focuses on calculating the cardinal number for the intersection of two sets, specifically why inequalities are necessary instead of simply using the formula n(A∩B) = n(A) + n(B) - n(A∪B). Participants clarify that without knowing n(A∪B), one cannot definitively calculate n(A∩B), as it is only known that n(A∪B) is at most 100. The conversation highlights that the maximum number of people liking both cheese and apples is limited by the smaller set, which is 63. Additionally, it is noted that there may be individuals who like neither, further complicating the calculation. Ultimately, the importance of understanding the relationship between the sets and the constraints imposed by the total population is emphasized.
JC2000
Messages
186
Reaction score
16
Homework Statement
A survey shows that ##63 %## Americans like cheese where as ##76 %## like apples. If ##x %## like both, find ##x##.
Relevant Equations
Since ##A \cap B \subset A## and ## A \cap B \subset B## :
##n(A \cap B) \leq n(A)## and ##n(A \cap B) \leq n(B)##
i.e ##n(A \cap B) \leq 63##
Also, ##n(A\cap B ) \geq 39## since ##n(A\cap B) = n(A)+ n(B)-n(A\cup B)## but ##n(A\cup B) \leq 100##

Thus : ## 39 \leq x \leq 63##
My Question :

1.Why are the inequalities considered? Why not simply use ##n(A\cap B) = n(A)+ n(B)-n(A\cup B)## to get ## n(A\cap B) = 39## ?
2. The way I interpret this is : If the set for people liking cheese was to be a subset of the set for people who like apples then the most number of people to like both would be 63. But I still fail to understand why the minimum value should be 39 (Why : ##P(A) + P(B) - P(A \cup B) < 1##)?
 
Last edited:
Physics news on Phys.org
JC2000 said:
My Question :

1.Why are the inequalities considered? Why not simply use ##n(A\cap B) = n(A)+ n(B)-n(A\cup B)## to get ## n(A\cap B) = 39## ?
Because it's not given how many like both cheese and apples.
 
Mark44 said:
Because it's not given how many like both cheese and apples.

Yes but we are given the remaining variables from which ##n(A \cap B)## can be found (?).
 
JC2000 said:
Yes but we are given the remaining variables from which ##n(A \cap B)## can be found (?).
No, since you aren't given ##n(A \cup B)##
 
Mark44 said:
No, since you aren't given ##n(A \cup B)##
Can't it be assumed to be 100? (Also could you shed some light on Q2?) Thanks!
 
JC2000 said:
Can't it be assumed to be 100? (Also could you shed some light on Q2?) Thanks!
All you are given is that ##n(A \cup B) \le 100##, which doesn't imply that it equals 100.
I need to take off in a bit, so maybe somebody else can take a crack at your other question.
 
  • Like
Likes JC2000
JC2000: I assume your numbers are given as percentages, right, so that it should be 76% and 63%?Edit. As Mark44 wrote, you don't have all the data you need. But you are correct that the percentage that like both is at most 63( Since it is a subset of those who like cheese) and the percentage that likes either is at most 100
 
  • Like
Likes JC2000
Oh yes! Thanks!
 
  • Like
Likes WWGD
As Mark44 pointed out, notice that ##n(A\cup B) ## is _at most_ 100, but not necessarily 100. Can you see why?
 
  • Like
Likes JC2000
  • #10
WWGD said:
As Mark44 pointed out, notice that ##n(A\cup B) ## is _at most_ 100, but not necessarily 100. Can you see why?
Is it because there may be a percentage of people that like neither? So this would mean ##n(A) + n(B)-n(A\cap B) \leq n(A\cup B)##?
 
  • Like
Likes WWGD
  • #11
Correct. Good job.
 
  • Like
Likes JC2000
  • #12
Thanks a lot!
 
  • Like
Likes WWGD

Similar threads

  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 17 ·
Replies
17
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
1
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K