The Importance of Statistical Modeling in Data Analysis and Inference

Derrick Rollins, Sr.

Abstract


Statistical inference simply means to draw a conclusion based on information that comes from data. Error bars are the most commonly used tool for data analysis and inference in chemical engineering data studies. This work demonstrates, using common types of data collection studies, the importance of specifying the statistical model for sound statistical analysis and inference and how this reveals unsound approaches such as the use of error bars.


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