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A certain company assigns employees to offices in such a way that some of the offices can be empty and more than one employee can be assigned to an office. In how many ways can the company assign 3 employees to 2 different offices?
Let's break down what this problem is asking in everyday language. We have 3 employees and 2 offices. The key conditions are:
Think of it this way: each employee walks into the building and has to choose between Office A or Office B. There are no restrictions - they can all crowd into one office if they want, or split up however they like.
Process Skill: TRANSLATE - Converting the assignment language into the core concept that each employee makes an independent choice
This is the crucial insight: each employee's choice is completely independent of what the others do.
Let's call our employees Employee 1, Employee 2, and Employee 3, and our offices Office A and Office B.
No matter what Employee 1 chooses, Employee 2 still has both offices available. Same for Employee 3. This independence is what makes the problem solvable using basic counting principles.
Since each choice is independent, we can use the fundamental counting principle: when you have a sequence of independent choices, you multiply the number of options for each choice.
In plain English:
This gives us: \(2^3 = 8\) total ways
Let's verify this by listing out all possibilities to make sure our logic is correct:
Employee assignments (Office A, Office B):
Counting these up: 8 different arrangements, which confirms our calculation.
The company can assign 3 employees to 2 different offices in 8 different ways.
The answer is D. 8
Students often confuse this with arranging employees in specific positions within offices, leading them to consider order within offices as important. They might think "Employee 1 in Office A, Employee 2 in Office A" is different from "Employee 2 in Office A, Employee 1 in Office A" and try to use permutation formulas like \(\mathrm{P}(3,2)\) or factorial calculations.
Many students assume that each office must have at least one employee assigned to it, similar to distribution problems where every container must be used. This leads them to exclude valid scenarios where all employees could be assigned to just one office, significantly undercounting the total possibilities.
Students may think that once one employee chooses an office, it affects the choices available to other employees. They might approach this as a sequential selection problem with dependencies rather than recognizing that each employee's choice is completely independent of others.
Even when students correctly identify this as \(2^3\), they might make basic arithmetic mistakes, calculating \(2^3\) as 6 (confusing it with \(2 \times 3\)) or 9 (confusing it with \(3^2\)) instead of the correct value of 8.
When attempting to verify by listing all possibilities, students commonly miss cases where all employees go to the same office, particularly the case where everyone goes to Office B. They tend to focus on mixed distributions and forget the extreme cases.
No likely faltering points - The calculation directly gives 8, which matches answer choice D exactly, leaving little room for selection errors.