There are 6 employees and 3 skills, with exactly two people per skill. Let the skills be: \[ D_a = \text{Data},\quad D_e = \text{Design},\quad M = \text{Marketing} \] Step 1: Assign C’s skill.
C is not in Marketing. So C is either in Data or Design.
We must consider both possibilities.
Case 1: C is in Data.
Then Data has one slot remaining.
Let Data = C, X.
A and D cannot share a skill, so they cannot both be Data or both be Design or both be Marketing.
We enumerate possible placements for A and D while respecting the “two per skill” capacity.
We find that valid A–D pairs are: \[ (C, A)\text{ in Data and }D\text{ in Design or Marketing}, \] \[ (C, D)\text{ in Data and }A\text{ in Design or Marketing} \] This yields exactly 4 valid A–D distributions after checking capacity limits.
Next, handle B’s condition.
Step 1A: B must match exactly one of E or F.
So, the pair (B,E,F) must have exactly one match: \[ B=E\neq F \quad\text{or}\quad B=F\neq E \] Given remaining slots per skill from the A–D–C placements, each A–D layout yields 2 valid assignments for (B,E,F).
Thus, Case 1 gives: \[ 4 \times 2 = 8 \text{ valid assignments.} \] Case 2: C is in Design.
By symmetry with Case 1 (Data ↔ Design), all calculations mirror perfectly.
Thus Case 2 also gives: \[ 8 \text{ valid assignments.} \] Step 2: Combine both cases.
\[ 8 + 8 = 16 \] Final Answer: \(\boxed{16}\)
Disregard commonly known facts. Which conclusion would follow on the basis of given statements only?
Statement (I): Some bottles are car. Some cars are cycle.
Conclusion: \[\begin{array}{rl} \bullet & \text{[(I)] Some bottles are cycle is a possibility.} \\ \bullet & \text{[(II)] All bottles are cycle.} \\ \end{array}\]
For any natural number $k$, let $a_k = 3^k$. The smallest natural number $m$ for which \[ (a_1)^1 \times (a_2)^2 \times \dots \times (a_{20})^{20} \;<\; a_{21} \times a_{22} \times \dots \times a_{20+m} \] is: