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Calculate Expected Users Adopting Wallet Feature

Last updated: Mar 29, 2026

Quick Overview

This question evaluates probabilistic reasoning and basic statistical concepts—expectation, independent Bernoulli trials, and conditional probability—relevant to a Data Scientist role in the Statistics & Math domain.

  • easy
  • Coinbase
  • Statistics & Math
  • Data Scientist

Calculate Expected Users Adopting Wallet Feature

Company: Coinbase

Role: Data Scientist

Category: Statistics & Math

Difficulty: easy

Interview Round: Technical Screen

##### Scenario For N users, each independently adopts the wallet feature with probability p. ##### Question Derive the expected number of users who adopt the wallet feature. 2) Compute the probability that at least one user adopts it. 3) State the core statistical assumption used in these calculations. 4) Given that at least one of two specific users adopted the feature, what is the probability both of them did? ##### Hints Apply linearity of expectation, Bernoulli independence, complement rule, and conditional probability.

Quick Answer: This question evaluates probabilistic reasoning and basic statistical concepts—expectation, independent Bernoulli trials, and conditional probability—relevant to a Data Scientist role in the Statistics & Math domain.

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Coinbase
Aug 4, 2025, 10:55 AM
Data Scientist
Technical Screen
Statistics & Math
2
0

Wallet Feature Adoption – Probability and Expectation

Setup

  • You are analyzing adoption of a new wallet feature.
  • There are N users. Each user independently adopts the feature with probability p.

Questions

  1. What is the expected number of users who adopt the feature?
  2. What is the probability that at least one user adopts it?
  3. What core statistical assumption underlies these calculations?
  4. Given that at least one of two specific users adopted the feature, what is the probability both of them did?

Solution

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