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Calculate Expected Flips for Two Heads Coin Toss

Last updated: Jun 15, 2026

Quick Overview

An Experian DataLabs Data Scientist online-assessment probability set covering coin-flip distributions and conditional probability. Candidates must find the expected number of flips to get two heads (negative binomial, E = 4), the probability of exactly two heads in three flips (binomial, 3/8), and conditional probabilities P(A|B) for independent events. It tests fluency with discrete distributions and the conditional-probability formula.

  • easy
  • Experian
  • Statistics & Math
  • Data Scientist

Calculate Expected Flips for Two Heads Coin Toss

Company: Experian

Role: Data Scientist

Category: Statistics & Math

Difficulty: easy

Interview Round: Technical Screen

##### Scenario Experian DataLabs online assessment – core probability section. Several short probability problems are asked back to back, covering coin-flip distributions and conditional probability. ##### Question Answer the following: 1. You repeatedly flip a fair coin until you obtain two heads (not necessarily consecutive). What is the expected number of flips? 2. If you flip a fair coin three times, what is the probability of getting exactly two heads? 3. Given two events A and B with P(A) = 0.3, P(B) = 0.5, and P(A ∩ B) = 0.15, compute P(A | B). 4. Given two events A and B with P(A) = 0.3, P(B) = 0.4, and P(A ∩ B) = 0.12, compute P(A | B). ##### Hints - For waiting-time problems, use the geometric / negative-binomial expectation E[T] = r / p. - For a fixed number of flips, use the binomial PMF P(X = k) = C(n, k) p^k (1 − p)^(n − k). - For conditional probability, apply P(A | B) = P(A ∩ B) / P(B), and check whether the events are independent.

Quick Answer: An Experian DataLabs Data Scientist online-assessment probability set covering coin-flip distributions and conditional probability. Candidates must find the expected number of flips to get two heads (negative binomial, E = 4), the probability of exactly two heads in three flips (binomial, 3/8), and conditional probabilities P(A|B) for independent events. It tests fluency with discrete distributions and the conditional-probability formula.

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

Experian DataLabs online assessment – core probability section. Several short probability problems are asked back to back, covering coin-flip distributions and conditional probability.

Question

Answer the following:

  1. You repeatedly flip a fair coin until you obtain two heads (not necessarily consecutive). What is the expected number of flips?
  2. If you flip a fair coin three times, what is the probability of getting exactly two heads?
  3. Given two events A and B with P(A) = 0.3, P(B) = 0.5, and P(A ∩ B) = 0.15, compute P(A | B).
  4. Given two events A and B with P(A) = 0.3, P(B) = 0.4, and P(A ∩ B) = 0.12, compute P(A | B).
Hints
  • For waiting-time problems, use the geometric / negative-binomial expectation E[T] = r / p.
  • For a fixed number of flips, use the binomial PMF P(X = k) = C(n, k) p^k (1 − p)^(n − k).
  • For conditional probability, apply P(A | B) = P(A ∩ B) / P(B), and check whether the events are independent.

Solution

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