STAT 412 …

You have just landed on the STAT 412 course website. The class meets twice a week in Fulmer Hall 125, and the times are 10.35am-11.50am on Tuesdays and Thursdays. I will post lecture notes on this webpage. However, class announcements and homework assignments will be made via Blackboard

Announcements

  1. Exam 2 time and location: from 10:35am to 11:50am, November 7, 2017 in Fulmer Hall room 125

Syllabus and Helpful Learning Materials

  1. The syllabus is here (please click).

  2. The source files (with .Rmd suffix) for lecture slides and notes are in the directory: http://math.wsu.edu/faculty/xchen/stat412/; the latex files for the pdf notes are also there, and they are all generated using R and R packages markdown, knitr, and revealjs package. If you want to learn how to geneate these lecture slides and notes, you need to install Rstudio, R, R packages markdown, knitr and revealjs, and other needed R packages used by the R codes in the Rmd file.

  3. Two very helpful reference books: Applied Linear Statistical Models, by Michael H. Kutner, Christopher J. Nachtsheim, John Neter and William Li; Design and Analysis of Experiments, by Douglas C. Montgomery

  4. How to write up homework answers using R markdown and knitr: R markdown file ( Rmd file ) and the html file it generates ( html file).

  5. A video demo in .swf format on how to create and compile Rmd file. A video demo for setting knitr in sweave in RStudio

Office Hours and Contact Information

  1. Office hours: 1:15pm---2:30pm on Wednesdays and Fridays, or by appointment; office hours are held at Neill Hall 230

  2. My email address: xiongzhi.chen@wsu.edu; My office phone number: (509) 335-3150

  3. Math & Stat Department office and phone number: Neill Hall 103 (campus map); (509) 335-3926

Lectures

  1. Lecture 1 for Weeks 1 and 2: slides, notes and source.

  2. Lecture 2 for Weeks 3 and 4: slides, notes and source. Extra metrial on CLT, CI and p-value by Wei Hao at Princeton University

  3. Lecture 3 for Weeks 5 and 6: slides, notes and source.

  4. Lecture 4 for Weeks 7 and 8: slides, notes and source.

  5. Lecture 5 for Weeks 9: slides, notes and source.

  6. Lecture 6 for Weeks 10-13: slides, notes and source.

  7. Lecture 7 for Weeks 15: slides, notes and source.

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