ME 634Practical Experimental Statistics and Data Visualization

Experimental variability is examined using a back-to-basics approach showing the fundamental meaning of statistical concepts like mean, standard deviation, and significance. With this foundation, there will be a deeper dive into different techniques to understand data though significance testing, experimental design, typical data distributions, processing non-normal data, and experimental design and analysis. The course will end with a discussion of data visualization, discussing how to maximize the effectiveness of data communication by discussing the theories underpinning effective data communication, matching plotting techniques to presented data and best plotting practices to highlight conclusions. The course concepts will be underpinned by project work to apply the class concept to real-life datasets and figures.