Based on a previous project that has been completed, a project manager decides the best way to estimate costs is through historical data.
Based on a previous project that has been completed, a project manager decides the best way to estimate costs is through historical data.
Using historical data from previous projects is a hallmark of the analogous estimation technique, where the cost of a current project is estimated based on the costs of similar past projects. This method leverages lessons learned and provides a quicker estimation process by drawing from established figures.
Parametric estimation involves using statistical relationships between variables to calculate cost estimates, often employing unit costs and productivity rates. While it can utilize historical data, it relies more on mathematical models rather than directly comparing completed projects, making it less suitable for this scenario in which historical data is specifically emphasized.
Analogous estimation is the correct choice because it directly utilizes historical data from similar projects to derive cost estimates for the current project. This approach is particularly effective when past projects are comparable in scope and complexity, allowing the project manager to make informed estimates based on previous experiences.
Bottom-up estimation entails breaking down project components into smaller parts and estimating costs for each, then aggregating those costs to arrive at a total. This method does not primarily rely on historical data from previous projects and instead focuses on detailed analysis, which makes it more time-consuming and less suitable for quick estimates based on prior work.
Three-point estimation involves calculating an average based on optimistic, pessimistic, and most likely estimates for project costs. This technique incorporates uncertainty into the estimation but does not specifically use historical data from completed projects, making it less relevant for the scenario described.
Choosing the appropriate estimation technique is crucial in project management, particularly when leveraging historical data. Analogous estimation stands out in this context for its reliance on past project costs, thus providing a practical and efficient approach to estimating costs for new projects. Other methods, while valuable in their own right, do not align as closely with the requirement of using historical data as the basis for cost estimation.
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