Expected meetings in Room 1 after random assignment
Quick Overview
Evaluates conditional expectation in a balls-in-bins meeting-room assignment problem. Strong answers model Room 1 occupancy as binomial, compute non-empty probability, and derive expected meetings given Room 1 is non-empty.
Expected meetings in Room 1 after random assignment
Company: Meta
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Onsite
Scenario: Meeting rooms are randomly assigned. Given Room 1 already has at least one meeting, calculate its expected total when k meetings are spread across N rooms.
Question 1: Given Room 1 is non‑empty and k meetings are randomly assigned across N rooms, find expected meetings in Room 1. (Hint: conditional probability, linearity of expectation)
Quick Answer: Evaluates conditional expectation in a balls-in-bins meeting-room assignment problem. Strong answers model Room 1 occupancy as binomial, compute non-empty probability, and derive expected meetings given Room 1 is non-empty.
Expected Meetings in Room 1 Conditional on Being Non-empty
There are N rooms and k meetings. Each meeting independently chooses a room uniformly at random, and multiple meetings can be assigned to the same room. Let X1 be the number of meetings assigned to Room 1.
Given that Room 1 is non-empty, compute E[X1 | X1 >= 1].
Constraints & Assumptions
Each meeting assignment is independent.
Each room is equally likely for each meeting.
N and k are positive integers.
Use conditional expectation and linearity of expectation.
Clarifying Questions to Ask Guidance
Can multiple meetings be assigned to the same room?
Is Room 1 fixed in advance?
Are all rooms equally likely?
Are we conditioning on Room 1 specifically being non-empty or some room being non-empty?
What a Strong Answer Covers Guidance
Models X1 as Binomial(k, 1/N).
Computes E[X1] = k/N.
Computes P(X1 >= 1) = 1 - (1 - 1/N)^k.
Uses E[X | X > 0] = E[X] / P(X > 0) for nonnegative X.