Final answer:
Numeric project selection models are true to their objective nature as they utilize objective values in decision-making. Models such as simulation models can visualize complex relationships effectively, supporting the true nature of these models as objective.
Step-by-step explanation:
Numeric project selection models are based on objective values which quantify aspects of a project such as cost, benefit, time, and risk. The statement that 'Numeric project selection models, by their very nature, employ objective values' is true. These models assist entities in making decisions where complex data needs to be analyzed and a choice must be made among competing projects or investments. Numerical techniques within these models help to visualize complex relationships and, for example, a simulation model would be effective in addressing mathematically complex systems as it can represent different scenarios and outcomes.
Similarly, when dealing with mathematics or science-based problems, objective truths such as wave-particle duality only existing at the quantum level (false for macroscopic scale) or using the Pythagorean theorem to calculate vector lengths (true for vectors at right angles to each other) are understood through numerical analysis or empirical evidence. This contrasts with topics like voting rates, which are subject to statistical study but not numerical modeling in the same sense.
In the context of precision and accuracy, a set of measurements can be precisely grouped yet inaccurate if they are not close to the intended target, while precision coupled with accuracy shows both a tight grouping of measurements and closeness to the target. Lack of both represents scatter without a pattern.