20th Sept 2023

The Crab Molt Model, a potent linear modeling technique designed for circumstances where two variables exhibit non-normal distribution, skewness, high variance, and high kurtosis, was the focus of our most recent lesson. Predicting pre-molt size from post-molt size is the main goal of this approach. Using information from “Stat Labs: Mathematical Statistics Through Applications, we also investigated the idea of statistical significance, focusing in particular on disparities in means. When building a model and creating a linear plot for post-molt and pre-molt sizes, we discovered a significant variation in means, with the size and shape of these graphs, which are eerily identical, only varied by 14.68 units. The complexity of our project’s three variables prevented the common t-test, which is used for comparisons of two variables, from being used.

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