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PMI-RMP · Question #343

The project manager must evaluate two separate contractors for a project with an absolute finish date of 15 December. After performing a Monte Carlo assessment on the submitted schedules, the followin

The correct answer is A. Contractor A should be chosen based on confidence level.. In a Monte Carlo simulation, two key metrics are compared: probability (the likelihood of finishing by a specific date) and confidence level (the statistical reliability/certainty of that estimate). When a simulation is run against an absolute finish date, the confidence level re

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Question

The project manager must evaluate two separate contractors for a project with an absolute finish date of 15 December. After performing a Monte Carlo assessment on the submitted schedules, the following information is found:

Which contractor should be chosen, because of having the highest statistical output?

Options

  • AContractor A should be chosen based on confidence level.
  • BContractor B should be chosen based on probability.
  • CContractor A should be chosen based on probability and confidence level.
  • DContractor B should be chosen based on probability and confidence level.

How the community answered

(28 responses)
  • A
    82% (23)
  • B
    7% (2)
  • C
    4% (1)
  • D
    7% (2)

Explanation

In a Monte Carlo simulation, two key metrics are compared: probability (the likelihood of finishing by a specific date) and confidence level (the statistical reliability/certainty of that estimate). When a simulation is run against an absolute finish date, the confidence level reflects how consistently the contractor's schedule achieves that date across thousands of iterations. Even if Contractor B shows a slightly higher raw probability in one metric, Contractor A's higher confidence level indicates a more dependable, less volatile schedule. In risk management, a higher confidence level is the superior indicator of predictable performance, making Contractor A the safer and statistically stronger choice.

Topics

#Monte Carlo Simulation#Schedule Risk Analysis#Probability and Confidence Level#Contractor Selection

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