20. A leader is evaluating two projects for a January start. The leader cannot decide the best model to use for selection.
Answer: B
Numeric and non-numeric models provide multiple measurements for decision making.
Both numeric and non-numeric models offer a variety of metrics that can assist a leader in making informed decisions regarding project selection. This diverse set of measurements enhances the evaluation process by incorporating both quantitative and qualitative aspects.
A) Numeric and non-numeric models provide too much data for decision making.
This option incorrectly suggests that the abundance of data from these models is a disadvantage. In reality, having multiple data points can enrich the decision-making process rather than hinder it, allowing for a more comprehensive analysis of each project.
B) Numeric and non-numeric models provide multiple measurements for decision making.
This option accurately reflects the strength of both model types, highlighting their ability to offer various metrics that can aid in evaluating different aspects of a project. This multiplicity of measurements is essential for a well-rounded assessment, making it the correct choice.
C) Numeric models provide too many financial details of a project.
While numeric models do focus heavily on financial details, this option presents a negative view by implying that too much financial information is detrimental. Rather, detailed financial data is crucial for understanding the viability and expected returns of a project.
D) Non-numeric models provide the essential data for decision making.
Although non-numeric models do provide valuable qualitative data, stating that they alone provide essential data overlooks the importance of numeric models. A balanced approach that incorporates both types of models is necessary for effective decision making.
Conclusion
The correct answer, B, emphasizes the importance of utilizing both numeric and non-numeric models, as they collectively offer a range of measurements that facilitate informed decision making. Options A, C, and D either misinterpret the role of data in decision making or fail to recognize the complementary nature of the two model types, underscoring why B is the most accurate choice.