Jalen Morgan ACME blog

I read the section. From what I understand, the central limit theorem shows a property of probability. It seems to me that the value a function holds for n goes to infinity trials, a value of the PDF. I'm not sure though. The properties of the central limit theorem work for distributions not normally distributed. I could use an explanation of the central limit theorem. I won't be in class this

As with most sections, it seems we've been given lots of definitions and equations I don't quite understand. The first two equations for this section look like something we dealt with in my PDBIO class. They were used for finding the chi value to determine if a set of data is viable. Something I'd like to learn more about during the lecture is some examples on how to use these with data and how it relates to the statistics we learned in the previous section.

I read the section. I feel like the author did a good job of writing this book, and a good follow up from continuous functions is functions in multiple dimensions. For me, this whole section has tons of equations, and I'm just plugging them into the equations. They're really hard to understand. If we could go over the equations again, that would be useful.