Discussion on What are the attributes of a good quantitative analysis model?

Attributes of Good Quantitative analysis model can be defined as this is the model that can be used scientifically in the analysis of the business as well as this will also use for the making decision for the executive. This method can provide the required raw material in the field of business. This method also provides the mathematical measurement, which will also be used to find out the validity of the material. For the evaluation of quantitative analysis in the scientific methods, the scientist also used the model of qualitative analysis to find out the findings of an experiment by using. The scientist achieves this step by step, and the first step is by observing, developing a hypothesis, ask different questions, and then we experiment has been done. Although rejection and acceptance of a hypothesis. Although the importance of attribution of good quantitative analysis has been identified by creating a questionnaire, to know about the good attribution of quantitative analysis accurately, we also have to understand the required factors of the analysis that were involved in them. (M Closkey, 2019) It is also an important point to be noted that if a problem is not stated correctly, then this will lead the analysis toward a false direction, and the analysis also collects wrong information, which will later result in as in the form of wrong decisions and findings as well. Describing a problem is a complex method, and these issues were based on the corporate goal. Moreover, it is also very difficult to find out the main and leading cause of this problem. It is a necessary part of the experiment to put the appropriate data into the research work. These can be attributed as the Rule of GIGO or Garbage out rule, which can be helpful for the development of a conclusion that is a good form.

References of Discussion on What are the attributes of a good quantitative analysis model?

M Closkey, K. A. (2019). Using attribution to decode binding mechanism in neural network models for chemistry. Proceedings of the National Academy of Sciences , 11624-11629.