Converting Optimistic, Most Probable & Pessimistic Time Estimates


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question 1 of 3

Which of the three estimates involves positive outcomes occurring?

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1. Which of the following best describes the likelihood of the various estimates within the Three Point Estimation?

2. What is the Three Point Estimate for an optimistic estimate of 5 days, a pessimistic estimate of 30 days, and a most probably estimate of 15 days?

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About This Quiz & Worksheet

With this fun worksheet/quiz combo, test your knowledge about most probable, optimistic and pessimistic time estimates and how to convert them. Our multiple-choice quiz will ask you to identify which estimates have positive outcomes, what the Three Point Estimation method entails and show that you can apply it in practice problems.

Quiz & Worksheet Goals

Use these short quiz questions to test yourself on the following subjects:

  • Which estimate types involve positive outcomes
  • The definition of the Three Point Estimation method
  • How to use Three Point Estimation to solve a variety of practice problems
  • The benefits of using Three Point Estimation

Skills Practiced

  • Reading comprehension - ensure that you draw the most important information from the related converting time estimates lesson
  • Problem solving - use acquired knowledge to solve practice problems involving Three Point Estimation
  • Distinguishing differences - compare and contrast topics from the lesson, such as an optimistic estimate and a pessimistic estimate
  • Knowledge application - use your knowledge to answer questions about some of the advantages of the Three Point Estimation method

Additional Learning

If you'd like to learn more about this subject, take a look at our lesson called Converting Optimistic, Most Probable & Pessimistic Time Estimates. This fun lesson will review the subjects covered on the quiz, plus the following:

  • The definition of optimistic estimate, most probable estimate and pessimistic estimate
  • How many more times the probable estimate is likely to occur
  • What standard deviation is