Here is a link to the page of common comments on graded assignments.
Here is a link back to the course syllabus/policy page.
This schedule is will be changing very frequently, please check it at least every class day, and before starting work on any assignment (in case the content of the assignment has changed).
Below, we refer to the text Introduction to Statistics, hosted by Saylor Academy, as SIS. The book was originally written by Douglas S. Shafer and Zhiyi Zhang, both of the University of North Carolina, and is released under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0 license. Here is an on-line version of this book, while here is a PDF of the full book (and here is a local copy) and here is a DOCx, either of which can be downloaded and saved, printed, or searched.
If you see the symbol below, it means that class was videoed and you can get a link by e-mailing me. Note that if you know ahead of time that you will miss a class, you should tell me and I will be sure to video that day for you.
When there is a reading assignment, please read the named section(s) before that day.
Homework for a particular day is due that day, either in class or handed in at my office by 3pm.
If you are looking for a good source of possible statistics in the wild to analyze on an ASE, you could try:
Note also that paying attention to this issue sometimes requires that an experiment be interrupted early, if preliminary data show that one treatment or another in the experiment is doing harm to some of the subjects.
In the US, the Food and Drug Administration (FDA) has oversight of medical products and drugs, some of which includes detailed control of the clinical experiments done to validate them.
After four years of this study, it was found that there was almost no difference in colon cancer rates.
Please also hand in any unused Homework Late Passes you have left, for course extra credit.
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