STA 106

Mathematical Statistics: Brief Course

Summer Session I, Spring 2021

In brief:

This course will be held remotely. Lectures will be held in zoom meetings; they will also be recorded and made available afterwards. All discussion sections and office hours will also be held using zoom, and all exams and homework assignments will be distributed through Canvas. Grading for the course will be based on weekly homework assignments, two midterms, and a final exam.

People:

Instructor: Andrew Farris ([email protected] (mailto:[email protected]) )

TA: TBA

Please note: for all emails, use "[STA106-SU2021]" without the quotes in your subject line. Also, don't try to contact Andrew using canvas messages; use email or Piazza.

Office hours:

Please see the office hours page here.

Lectures:

MTW 2:10-3:50pm PT (zoom link)

Recorded lectures can be found here.

Discussion sections:

Discussion sections will take place on Thursdays at the scheduled times via zoom (links).

Communications:

We will use Piazza    (http://piazza.com/uc_davis/summer2021/sta106) (access code "scheffe" without the quotes) for this course to answer questions and facilitate discussion. Ask routine questions about course material and policies there; direct any sensitive or specifically personal matters to your TA or the instructor by email.

Code of conduct:

You are expected to strictly adhere to the UCD Code of Academic Conduct. Cheating, plagiarism, or other violations will not be tolerated; they will be referred immediately to Student Judicial Affairs, and necessitate a failing grade.

It is very important that you familiarize yourself with the code of conduct: https://ossja.ucdavis.edu/code-academic-conduct    (https://ossja.ucdavis.edu/code-academic-conduct)

IMPORTANT: Bear in mind that with remote instruction, it is in some ways easier to cheat (mostly by sharing answers to exams and assignments, asking for help on websites, and paying people online to do work); however, these things have also proved easy to detect. In the Spring quarter, an unusually large number of students were caught cheating. Do not cheat in this class.

Textbook

Applied Linear Statistical Models, 5th Edition, by Kutner, Nachtsheim, Neter, and Li (datasets here (http://users.stat.ufl.edu/~rrandles/sta4210/Rclassnotes/data/textdatasets/index.html) )

Material Covered:

● Basics of experimental design

● One-way and two-way fixed effects analysis of variance models

● Randomized complete and incomplete block design

● Multiple comparisons procedures

● One-way random effect models

Grading:

Letter grades will be assigned to final class scores, computed with the following weights:

Midterm I: 20%

Midterm II: 20%

Final: 35%

Homework: 25%

The grade curve will be determined at the end of the class, taking into account difficulty of exams/assignments, relative performance as a class, improvement over the course of the quarter, and any special circumstances.

Homeworks

Each week, a homework assignment will be posted to canvas. Each assignment will be due, via pdf submitted through Canvas, the following week. The lowest homework score will be dropped from consideration with respect to the final grade.

Homeworks are open-note, open-book, and unproctored, and students are encouraged to work on them together in groups no larger than five. However, it is forbidden to post on sites other than our course's Piazza page asking for help, and plagiarism is strictly prohibited (see Code of Conduct, above). This will be enforced.

Exams:

There will be two midterm exams, given during the scheduled lecture times on Tuesday, July 6 and Monday, July 19.

The cumulative final exam will be given on Thursday, July 29.

All exams will be in a take-home, free response style, and you will have 2 hours in which to complete each one.

A missing exam will be scored as zero unless an absence has been approved by the instructor. The weight of an approved missing midterm exam can be shifted to the final exam, and a missing final exam must be made up in a supplementary exam, which may take the form of a (zoom) oral exam.

The instructor reserves the right to replace any student's exam or assignment, beforehand or afterward, with such a supplementary exam or assignment, because of technical difficulties, suspected irregularities, etc.

Disabilities:

Any student with a documented disability who needs to arrange reasonable accommodations must contact the Student Disability Center (SDC). Instructors are authorized to provide only the accommodations requested by the SDC. If you have any questions, please contact the SDC at (530)752-3184 or [email protected] (mailto:[email protected]) .

Remote resources:

For student resources to help with remote learning, please see https://keepteaching.ucdavis.edu/student-resources    (https://keepteaching.ucdavis.edu/student-resources) .

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If necessary, changes will be made to these course policies; if so, this will be communicated through canvas announcements.