Using ANOVA is a critical skill that every chemical engineer should have in their repertoire. While many of you use multiple t-tests to compare groups, you are unknowingly introducing more risk to your calculations. Frequently, they use hypothesis tests, including comparing means between different groups. Chemical engineers often need to make decisions and choose the best option among several candidates. See how Minitab’s new Graph Builder enables you to visualize your data in different ways, with the artificial intelligence to highlight the best graphs for you. Visualizing your data is critical! Do you know the “center and spread” of your data? Do you have outliers? What are the largest areas of improvement? There are many different ways to graph your data – from commonly used histograms and pareto charts to more advanced heat maps and correlograms. Visualize Data to Gain Insights and Identify Improvements. Learning data analysis and data science skills will enable you to provide unique and in-depth insights from your data that can create significant value for your organization today. As a result, chemical engineers are dealing with more, and more complex, data than ever before. Because of the proliferation of inexpensive instrumentation, an engineer working in a modern plant has access to a tremendous amount of data. Statistics plays a big role in all engineering professions and has become even more important for chemical engineers.

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