Koszalka, Inga Monika (2018) Teaching statistics with Lagrangian trajectories. [Poster] In: AGU Fall Meeting 2018. , 10.-14.12.2018, Washington, D.C., USA .

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Abstract

Have you ever felt your teaching of Statistics is dry, and also boring to students? Some topics are more challenging and grueling in this respect than others. Here, I will show how certain statistical topics and concepts, namely: probability distributions and moments, inference with confidence intervals and hypothesis testing (traditional and more modern approaches like bootstrap), random processes, correlation and cross-correlation, can be compellingly presented using Lagrangian surface drifter trajectories. It is thanks to the physical interpretation of Lagrangian trajectories, which encode information about the ocean flow kinematics and its spatio-temporal variability, that makes the process of applying statistical methods captivating.

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