University of Minnesota, Twin Cities School of Statistics Stat 5102 Rweb
New! Exam grades and grades for the course are finally up.
New! Solutions and grade distributions for the final exam posted.
New! As someone requested, I have made the entire notes available in PDF (palatable dog food) format.
|First Midterm||Friday, Mar 2|
|Second Midterm||Friday, Apr 13|
|Final Exam||10:30am-12:30pm Tuesday, May 8|
The second midterm will cover the material since the first midterm. It is not cumulative.
Specifically, the second midterm covers Section 9.5 and Chapters 10 and 11 of the notes and the corresponding sections of Lindgren (7.10, 7.11, 8.6, 8.7, 9.1, 9.2, 9.4, 9.5, 9.6. 9.7, 9.10, 10.1, 10.2, 10.3)
The final exam is cumulative.
New! The entirety of both semester's notes are available in Adobe palatable dog food (PDF) format.
ntoc.pdfand throw away the appendices (replacing all of them with those from
This section is just copied from the 5101 page. It will be revised later.
We will be using computers in the course, mostly in second semester. First semester we will only use the computers like a fancy calculator. In fact it could be replaced by some calculators for all the use we are going to make of it first semester, although most calculators, even expensive ones do not have all the probability distributions we want built in. Two that do are the Texas Instruments TI-83 and TI-83 Plus, but you probably don't want to buy such a calculator just for this course. If you have to buy a calculator, one that can do calculus like a TI-89 or a TI-92 Plus would perhaps be more helpful.
The default statistical computing package will be R, which can be used in the lab or downloaded (it's free software), and its web interface Rweb, which can be used in any web browser. If you are familiar with another computer statistics package, you may use that, but the instructor and teaching assistant may not be able to help you with it.
A recently added page explains using R and Rweb to calculate probabilites.
A recently added page illustrates the CLT using Rweb.