MATH 456-02: Syllabus

Applied Statistical Methods II

BSS Building 237

TTh 9.30 - 10.45am

Contact Information

Edward A. Roualdes (call me Edward)

email: eroualdes@csuchico.edu

Office hours:

Course Description

Advanced topics in applied statistics including multiple and logistic regression, multivariate methods, multi-level modeling, repeated measures, and others as appropriate. The statistical programming language R is used. Appropriate for biology, agriculture, nutrition, business, psychology, social science and other majors. 3 hours discussion

Student Learning Objectives / Goals

Textbook

Here's some other free references which I like on the topic.

Additional Requirements

Content Delivery

Lectures are in person at the times listed above. No recordings will be available. As Gil Scott-Heron says, the revolution will not be televised; this class will be live.

All course materials will be posted to my website: roualdes.us/teaching/456.

Course Communication

The absolute best place to ask a question is during lecture. I understand, though, that not all students feel comfortable asking questions publicly.

If you prefer more private and in person communication, come to office hours.

If you prefer written and identifiable communication, email me at eroualdes@csuchico.edu. If your questions become too complex for email, as judged by me, I reserve the right to ask you to come visit my office to receive your answers in person.

If for any reason I need to address everyone in the course, I will send you an email to your student email account, eg you@csuchico.edu.

Course Grading

Your final grade for this course will be given according to the +/- grading system, based on the following percentages and scale: 90 - 100, A; 80 - <90, B; 70 - <80, C; 60 - <70, D; <60, F.

Component Percentage
Homework 10%
Quizzes 30%
Tests: 3 @ 20% each 60%

Grades will be posted to a shared (between me and each of you, individually and exclusively) Google Sheets file.

So long as you understand the Academic Integrity Policy below, I encourage you to use large language models, like ChatGPT, to help you learn. However, I refuse to grade AI slop. If I judge the content of your work to be AI slop, I reserve the right to give you a failing grade on that assignment. You can meet me in office hours to try to defend your case.

Assignments

All assignments must be created using Quarto, compiled into HTML (preferred) or PDF, and uploaded to our shared Google folder.

There will be so much time to work on homework in class, that homeworks will be part at home and part in class. This is part of the reason that access to a laptop is essential to this course.

Each homework assignment should be uploaded into its own subfolder, called say homework01 which itself is located within our shared Google folder. Notice how I'm attempting to force you on proper computer organization. Folders should provide the context, not file names.

Tests

There will be three tests. Two mid-terms and one final. Tests will be pen and paper. No notes. No GPT (nor any other LLM). No computers.

Make-Up Policy

Homework assignments can be submit late, or resubmit, one time, for a maximum of 50% of the points you missed. You can submit a homework assignment as late up until the next test, but not after.

You can make up a test so long as you missed the test for an unavoidable emergency. Please contact me within 24 hours of the test to let me know of your unintended absence, and so that we can schedule your make up.

Diversity Policy

Respect: Students in this class are encouraged to speak up and participate during class meetings. Because the class will represent a diversity of individual beliefs, backgrounds, and experiences, every member of this class must show respect for every other member of this class (this includes me).

Academic Integrity Policy

Students are permitted and encouraged to collaborate on all assignments other than quizzes and tests. I even encourage you to learn from GPT (or another LLM of your choice). However, each student must turn in their own work. Your own work is not produced by any LLM. Submitting work that is even suspected to be not yours will be met with an immediate 0% grade. Repeated submission of not your own work will be dealth with as cheating, as described below.

Further, it is the expressed expectation of this instructor that all students demonstrate integrity and individual responsibility in all actions related to this course. Unethical behavior of any kind is unacceptable and will be prosecuted vigorously. Any sign of cheating in any way on any course assignment will be addressed directly, according to University standards. If you do not understand what plagiarism is, or what cheating entails, you must seek information regarding this matter from the current University Catalog and from me. The consequences of plagiarism begin with a failing grade on the work, and possibly a failing grade in the course, depending upon University action. More information is found on the Student Conduct, Rights, and Responsibilities campus webpage.

Disability Support

If you have any disability related needs, please contact Disability Support Service (Colusa Hall 898-5959 or campus information 898-INFO for directions) on campus to obtain the appropriate documentation. Afterwards, email me to identify your needs within the first two weeks of class so that any necessary arrangements can be made.

Confidentiality and Mandatory Reporting

As an instructor, one of my responsibilities is to help create a safe learning environment on our campus. I am required to share information regarding sexual misconduct with the University. Students may speak to someone confidentially by contacting the Counseling and Wellness Center (898-6345) or Safe Place (898-3030). Information on campus reporting obligations and other Title IX related resources are available here: www.csuchico.edu/title-ix.

Course Outline