Validation of the model is to check the logic of the model and to determine if all the calculations, steps, and procedures are done correctly in the model.

Question

BlackTom AI · Accepted Answer

The question presents a statement about what validation of a model entails, followed by two answer options to label as True or False.
Option 1: True – The claim is that validation checks the logic of the model and determines if all calculations, steps, and procedures are done correctly in the model. This interpretation highlights correctness of procedures and numerical steps, which resembles verification more than validation. Verification asks: 'Are we building the model right?' by checking implementation accuracy, code, formulas, and computational steps. Therefore, labeling validation as primarily about ensuring calculations and procedural correctness mischaracterizes the standard distinction between verification and validation, making this option inaccurate.
Option 2: False – This option aligns with the conventional distinction used in modeling and simulation. Validation concerns whether the model accurately represents the real system or phenomenon of interest, which often involves assessing whether the right questions are being asked and whether the model produces outputs that are credible in the real context. It focuses on the model’s realism and usefulness rather than solely on internal logical consistency or the correctness of each calculation step. Thus, this statement correctly captures that validation is not just about logic and calculation correctness, but about appropriateness and adequacy of the model for the intended purpose.
In summary, the first statement misattributes the scope of validation to verification activities, while the second statement accurately reflects the broader purpose of validation in modeling contexts.

WOOD_V 330 101/WOOD_V 572C 102 2025W1 Quiz 1 - Industrial Engineering & Modeling

Validation of the model is to check the logic of the model and to determine if all the calculations, steps, and procedures are done correctly in the model.

查看解析

登录即可查看完整答案

类似问题

No matter how accurate the input data are, if the model is accurate, the results are accurate.

Once your stochastic model is constructed, how do you check that it is working properly?

Select all appropriate answers from the list below. When using an analytical, statistical or any sort of model you must:

Consider the validation set approach. We estimate the model on the training set, and make predictions on the validation set.

Models need to be validated:

Models selected by automated variable selection techniques do not need to be validated since they are ‘optimal’ models.

In a consumer society, many adults channel creativity into buying things

更多留学生实用工具

考试浏览器助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单