Ad Hoc and Statistical Model Visualization Using JMP®, SAS® and Microsoft Excel

By Jon Weisz, SAS

Ad Hoc and Statistical Model Visualization Using JMP, SAS and Microsoft Excel

Models can be defined as abstractions of real-life systems used to facilitate understanding and to aid in decision making. However, models mean different things in different disciplines. Engineers, financial analysts and statisticians all employ modeling, as a core tool, but each discipline would define models differently. Even with the differences in how models are defined and developed, all disciplines need ways to communicate models, perform what-if analyses and simulations.

This paper examines how to create, visualize and communicate findings from three types of models; spreadsheet models, statistical models and scientific models. Using the methods detailed in this paper, creators of the three different models types will learn how to more effectively communicate with each other.

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