Hi Sajal193,Nice work getting
X = 50% on your own. For
Y, the key is to flip your thinking: instead of
spreading overlaps out, you want to
cram them into as few students as possible.
Start with the same total you already used:
- Marketing
50 + Finance
25 + Operations
30 + Strategy
60 =
165 memberships across
100 students.
Those
165 "slots" have to land on
100 people. A student counted in
2 or more disciplines is exactly the kind of person who soaks up extra slots. So to
minimize how many such people exist, give each of them the maximum load -
4 disciplines each - and let everyone else hold at most
1.
Setting up the boundLet
t = number of students with
2+ concentrations. The most memberships you can possibly cover is:
-
4·t from the heavy students, plus
1·(100 - t) from the rest.
That must reach
165:
4t + (100 - t) ≥ 165 →
3t + 100 ≥ 165 →
3t ≥ 65 →
t ≥ 21.7Since
t must be a whole number,
t ≥ 22. You can't dip below
22 - there simply aren't enough "slots per person" to cover
165 otherwise.
Why 22 actually worksThe bound is only useful if
22 is reachable. Put
22 students into all four disciplines (that uses
22 of each - fine, since Finance has
25 and Operations has
30 available). That leaves Marketing
28, Finance
3, Operations
8, Strategy
38 =
77 leftover memberships, which you hand out
one each to
77 of the remaining
78 students. Everyone outside the
22 now has exactly
1 concentration, so nobody new joins the "2+" group.
Everything balances, so
Y = 22%.
The one habit to carry forward: to
minimize the overlap count, maximize the load per overlapping student; to
maximize it (like your X), you spread thin instead.
Answer: Column 1 (X) = 50%; Column 2 (Y) = 22%Sajal193
I got x as 50, need an explanation for Y
I took the min value of highest 3, subtracted the value from each , then took remaining elements and added the min value common to remaining three and added to previous value. This way got X as 50.
Adit_ please provide solution for Y. You may DM me if required. Thanks