Pooled degrees of freedom

Okay kiddo, let me explain what pooled degrees of freedom means. Imagine you have two groups of toys, group A and group B. Group A has 5 toys and group B has 3 toys.

Now, let's say we want to know how heavy the toys are in each group. We can take the average weight of the toys in group A and the average weight of the toys in group B.

But here's the thing, we can't just add up all the weights in group A and group B and divide by the number of toys. This is because the size of the groups is different, and we have to take that into account.

So, what we do is we pool the degrees of freedom. This means we combine the sample size of both groups to get a bigger sample size. So instead of having a sample size of 5 and a sample size of 3, we have a pooled sample size of 8.

This is important because when we calculate the average weight of the toys, we want to make sure we're taking into account the fact that we have a larger sample size. It helps us get a more accurate estimate of the true average weight of all the toys.

So, in summary, pooled degrees of freedom means combining the sample size of two groups to get a larger sample size, which helps us get a more accurate estimate of the true average value.