Calculate Probability of Heads in Coin Flip Experiment

Quick Overview

This interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Calculate Probability of Heads in Coin Flip Experiment states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

Calculate Probability of Heads in Coin Flip Experiment

Company: PayPal

Role: Data Scientist

Category: Statistics & Math

Difficulty: easy

Interview Round: Onsite

##### Scenario Statistics quick check during experimentation round ##### Question A fair coin is flipped 10 times. Calculate (a) the total number of possible outcome sequences, (b) the probability of exactly 3 heads, and (c) the probability of at most 3 heads. ##### Hints Use binomial coefficients C(10,k) and probability (0. 5)^10.

Overview: This interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Calculate Probability of Heads in Coin Flip Experiment states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

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Aug 4, 2025
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Calculate Probability of Heads in Coin Flip Experiment

Coin Flips: Counting and Binomial Probabilities

Context

Assume 10 independent flips of a fair coin (probability of heads p = 0.5 for each flip). Each length-10 outcome sequence is equally likely.

Question

Calculate:

(a) The total number of possible outcome sequences.

(b) The probability of exactly 3 heads.

(c) The probability of at most 3 heads.

Clarifying Questions to Ask Guidance

  • Clarify the random variables, distributional assumptions, independence assumptions, and desired output.
  • Show enough derivation for the interviewer to follow the reasoning.
  • Explain how you would validate the result with simulation or sensitivity checks.

What a Strong Answer Covers Guidance

  • A correct setup with definitions, formulas, and boundary conditions.
  • A step-by-step derivation or estimation plan.
  • Interpretation of the result, including uncertainty and practical limitations.
  • Checks for assumptions, edge cases, and numerical stability.

Follow-up Questions Guidance

  • How would the result change if the assumptions were relaxed?
  • Can you verify the answer with a simulation?
  • What is the most likely source of estimation error?
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