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SCWCD Certification Practice Tests SCWCD Study Guide (CX-310-081)

 
 PMP Certification Practice Tests  

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Free PMP Certification Practice Questions:

You are using the Three-Points Estimating technique to estimate the duration of a scheduled activity. Which of the following statements are true given the following data?

  • pessimistic = 200 days
  • optimistic = 100 days
  • most likely = 120 days
  • average = 140 days
  • variance = 466.66
    • A) The calculations were performed assuming a triangular distribution
    • B) The calculations were performed assuming a beta distribution
    • C) The calculations were performed assuming a uniform distribution
    • D) The calculations were performed assuming a exponential distribution
    • E) Not enough information is provided
    • [Ans: A]

    • Three Point Estimates is a technique for estimating and planning large projects. One of its advantages is the ability to manage probabilities associated with the project. It utilizes simple statistical mathematics in order to construct a probability distribution for the completion dates of the project milestones, based on three types of estimates: most likely, pessimistic, optimistic.

      For a triangular distribution, the mean and variance are calculated as follows:

      • Mean = (pessimistic + optimistic + most likely) / 3
      • Variance = [(optimistic - pessimistic)^2 + (most likely - pessimistic) * (most likely - optimistic)] / 18

      For a beta distribution, the mean and variance are calculated as follows:

      • Mean = (pessimistic + 4*(most likely)+ optimistic) / 6
      • Variance = ((optimistic - pessimistic)/6)^2

      In this example, the calculations were performed assuming a triangular distribution.

      Mean = (most likely + optimistic + pessimistic) / 3
      = (120 + 100 + 200) / 3
      = 140 days

      Variance = [(optimistic - pessimistic)^2 + (most likely - pessimistic) * (most likely - optimistic)] / 18
      = ((100-200)^2 + (120-200)*(120-100)) / 18
      = (10000 - 1600) / 18
      = 466.66


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