Crab molt model
The linear model is designed to predict the size of a crab shell before molting (pre-molt size) based on the size of the crab shell after molting (post-molt size). In a linear model, the relationship between these two variables is assumed to be linear, meaning that changes in the post-molt size are proportional to changes in the pre-molt size. we tried to understand if the difference between both the states means statistical significance or not and came to the conclusion that by standard statistical inference across a lot of cases, the p value in this case was less than 0.05 with makes us reject the null hypothesis that there is no real difference.We also got to know about the t-test analysis, which is a a statistical hypothesis test used to determine if there is a significant difference between the means of two groups or populations. For eg. Imagine you have two groups, like group A and group B. Group A, who were taught using Method 1, and Group B, who were taught using Method 2. You want to determine if there is a significant difference in the average test scores between the two groups. The t-test wishes it knew the scores of a special secret ingredient (lets call it “scaling term”) in the math, but it doesn’t. So, it has to guess it from the numbers. If it guesses right (under some specific conditions), it can use its rulebook to say if the groups are different or not.