In today’s class, we discussed about two important things: the Crab Molt Model and the T-Test.
The Crab Molt Model is a way to make predictions when we have data that doesn’t follow a normal pattern. Imagine you have information about crabs, and sometimes their sizes don’t follow the usual pattern. This model helps us predict how big a crab will be after it sheds its old shell by looking at its size after the molt.
Post-molt data is what we collect when crabs have just shed their old shells and are growing new ones. Pre-molt data is information we gather from crabs just before they shed their old shells, which can show us how they are changing.
The T-Test is a statistical tool used to figure out if the differences we see between two groups are real or just random. This is really useful in research and data analysis when we want to compare two things to make sure our conclusions are reliable.