Posts

6.3, due November 9th

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

6.1, due November 4th

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.

5.7, due November 1st

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.

5.4, due October 26th

I read the section. The section was pretty straightforward. There were a lot of definitions and theorems. I think the thing that would most help me with this section is if we went over the intuitive idea behind some of these definitions and theorems. Help on the homework is always nice too.

5.3, due October 24th

I read the section. I found Bayes' rule to be pretty difficult to understand as well as the whole concept of the prosecutor's fallacy. I thought the example of the world war two ships was an interesting and intuitively sound example that helped me understand the fallacy in thinking this way. These past three sections seem to be connected well and build off each other in a smooth way.

5.1, due October 17th

I read the section. I think it's interesting how much detail the section goes into making probability so formal. There seems to be a lot of vocabulary associated with that. This section seems pretty easy because a lot of it is similar to what we've done before, with finding the number of possibilities of a situation. For example, finding the number of possible full houses is something we've learned to do. Now we just have to find the number of possible hands and divide the former by the latter.

4.5, due October 15th

I read the section. I thought it was super interesting. This is a topic I spent a lot of time learning about on my own during high school. There's a lot of problems that are classified as NP. The first problem I learned about was the Knapsack problem. The travelling salesman problem is also a common one I've learned about. I think it's nice to be learning about the formal process of trying to prove things about these equations.