The formula to obtain Binomial Coefficient can be written as:
n! / r! × ( n - r )!
, which is equal to the number of combinations.
Here,
n -> number of unique objects
r -> number of objects that are
considered ( r <= n )
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Suppose n = 4
Objects that are being considered:
( 1 ) A
( 2 ) B
( 3 ) C
( 4 ) D
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Let us restrict ourselves to deal with only three objects at a time. We will attempt to form combinations taking only three objects at a time.
So, here
r = 3
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From the ongoing discussion,
n = 4 and
r = 3
So, No. of combinations =
4! / ( 3! × ( 4 - 3 )! ) = 4
Let us observe the four combinations that are formed:
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SlotI Slot2 Slot3
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A B C
A B D
B C D
A C D
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The thought provoking pattern of combinations tells me to compare the objects- A, B, C, D- with tasks of Computer. These tasks are arranged in three columns- Slot1, Slot2, and Slot3.
Tasks that occur in Slot1 have the highest rank. The Computer will firstly attend the tasks in Slot1. Tasks in Slot2 will get second priority. Slot3 tasks are to be attended at last.
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Tasks 1st View 2nd View 3rd View
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A Slot I Slot I Slot I
B Slot I Slot II Slot II
C Slot II Slot II Slot III
D Slot IIII Slot III Slot IIII
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Paying little attention, we can make out that the Task A always gets Slot I. Task B gets into Slot I only for once. For the rest of the two occurences Task B is seen in Slot II. Task B and Task C appear in Slot II for twice. Task C is seen in Slot III for only once. Task D always resides in Slot III.
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Observation: Combinations can serve to prioritize the participating elements. The resulting priorities can help in allocation of resources to elements in combinations. Prioritizing a list of elements forming combinations is also important as regards Computer Technology. That's it.
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