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PMI-RMP Specialized Risk Analyses Practice Question

During a Monte Carlo simulation in @RISK, you notice the project completion date distribution is heavily skewed. Which distribution type is most appropriate for modeling task durations that have a hard 'minimum' but a long 'maximum' tail?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Beta distribution.

A PERT or Triangular distribution is often used, but a Beta distribution is generally preferred for modeling skewed task durations with defined minimum, mode, and maximum values.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Normal distribution.

    Why it's wrong here

    Normal distribution is symmetrical and unsuitable for skewed duration data.

  • Beta distribution.

    Why this is correct

    The Beta distribution is flexible and ideal for skewed data with fixed bounds.

  • Discrete distribution.

    Why it's wrong here

    Discrete distributions are for categorical outcomes, not continuous time durations.

  • Uniform distribution.

    Why it's wrong here

    Uniform distribution assumes all values are equally likely, which is rarely true for project tasks.

About these practice questions

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official PMI exam blueprint

This PMI-RMP practice question is part of Courseiva's free PMI certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PMI-RMP exam.