Integrate a Two-Sided Exponential Density

Quick Overview

For a random variable with density 0.5 times exp(-abs(x)), compute the probability that it lies between 1 and 3.

Integrate a Two-Sided Exponential Density

Company: Goldman Sachs

Role: Data Scientist

Category: Statistics & Math

Difficulty: easy

Interview Round: Online Assessment

# Integrate a Two-Sided Exponential Density A continuous random variable has probability density `f(x) = 0.5 * exp(-abs(x))` for every real `x`. Compute `P(1 <= X <= 3)` and show the integral used. ### Constraints & Assumptions - Endpoint inclusion does not change the probability for a continuous distribution. - The density is already normalized over the real line. ### Clarifying Questions to Ask - Is an exact expression, a decimal approximation, or both desired? - Should normalization of the density also be verified? ```hint Remove the absolute value on the interval Every `x` between 1 and 3 is positive, so the density has one simple exponential form there. ``` ### What a Strong Answer Covers - The correct definite integral and antiderivative. - Correct handling of `abs(x)` on a positive interval. - An exact result and a sensible numerical check. ### Follow-up Questions - What is `P(abs(X) <= a)` for nonnegative `a`? - What are the mean and variance of this distribution?

Quick Answer: For a random variable with density 0.5 times exp(-abs(x)), compute the probability that it lies between 1 and 3.

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Sep 2, 2026
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Integrate a Two-Sided Exponential Density

A continuous random variable has probability density f(x) = 0.5 * exp(-abs(x)) for every real x. Compute P(1 <= X <= 3) and show the integral used.

Constraints & Assumptions

  • Endpoint inclusion does not change the probability for a continuous distribution.
  • The density is already normalized over the real line.

Clarifying Questions to Ask Guidance

  • Is an exact expression, a decimal approximation, or both desired?
  • Should normalization of the density also be verified?

What a Strong Answer Covers Guidance

  • The correct definite integral and antiderivative.
  • Correct handling of abs(x) on a positive interval.
  • An exact result and a sensible numerical check.

Follow-up Questions Guidance

  • What is P(abs(X) <= a) for nonnegative a ?
  • What are the mean and variance of this distribution?
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