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Calculate Probability of Third Card Being an Ace

Last updated: Mar 29, 2026

Quick Overview

Evaluates conditional probability with cards drawn without replacement after observing at least one Ace. Strong answers define the conditioning event, account for the number of Aces among the first two cards, and compute the probability that the third card is an Ace as 49/825.

  • medium
  • Citadel
  • Statistics & Math
  • Data Scientist

Calculate Probability of Third Card Being an Ace

Company: Citadel

Role: Data Scientist

Category: Statistics & Math

Difficulty: medium

Interview Round: Technical Screen

##### Scenario A probability puzzle during a first-round technical screen. ##### Question You draw three cards without replacement from a standard 52-card deck. Given that among the first two cards there is at least one Ace, what is the probability that the third card is an Ace? ##### Hints Condition on the Ace count in the first two draws and apply Bayes.

Quick Answer: Evaluates conditional probability with cards drawn without replacement after observing at least one Ace. Strong answers define the conditioning event, account for the number of Aces among the first two cards, and compute the probability that the third card is an Ace as 49/825.

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|Home/Statistics & Math/Citadel

Calculate Probability of Third Card Being an Ace

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Citadel
Jul 12, 2025, 6:59 PM
mediumData ScientistTechnical ScreenStatistics & Math
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Calculate the Probability of the Third Card Being an Ace

You draw three cards without replacement from a standard 52-card deck with 4 Aces and 48 non-Aces. You are told that among the first two cards there is at least one Ace.

Constraints & Assumptions

  • Cards are drawn without replacement.
  • The given information applies only to the first two cards.
  • Use conditional probability; do not assume the third card remains exactly 4/52 .
  • Give an exact fraction and an approximate decimal if useful.

Clarifying Questions to Ask

  • Does "among the first two" mean at least one Ace in the first two ordered draws?
  • Are we conditioning only on that event, or did someone intentionally reveal an Ace?
  • Is the deck standard and well shuffled?

Part 1 - Define Events

What events would you define to solve the conditional probability?

What This Part Should Cover

  • Event A : at least one Ace among the first two cards.
  • Event T : the third card is an Ace.
  • Target probability P(T | A) .

Part 2 - Compute the Probability

What is the probability that the third card is an Ace given the first two contain at least one Ace?

What This Part Should Cover

  • Conditioning on whether the first two contain exactly one Ace or two Aces, or using Bayes' rule directly.
  • Correct accounting for the remaining deck.
  • Exact final probability 49/825 .

What a Strong Answer Covers

A strong answer conditions on the observed information, handles without-replacement dependence correctly, and avoids the common mistake of treating the third draw as unconditioned.

Follow-up Questions

  • How would the answer change if exactly one of the first two cards was an Ace?
  • What if at least one Ace is revealed from all three cards rather than only the first two?
  • How would you solve it by enumerating ordered card types?
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