| Instructor: | Dr. Paul Regier | Time: | 9:30 AM - 10:55 AM Tuesday/Thursday |
| Email: | pregier@usao.edu | Place: | Austin Hall 213 |
| Office hours: | paulregier.com/office-hours |
Advanced Statistics and Data Analysis will focus on building student skills within commonly used research hypothesis tests and methodologies that influence statistical results. The course will include discussions on the purpose and proper use of tests, limitations, interpretation, and computational analysis methods. Students will work with both Microsoft Excel and R software programs. Due to the nature of both the content and assignments of the course, students will develop skills in time management, both written and oral communication, attention to detail, adaptability, and problem-solving throughout this course.
This course will cover chapters 1-5 from the textbook listed below. While the primary textbook emphasizes nonparametric methods, the course will also cover selected parametric techniques for comparison and context.
By the end of this course, students will be able to:
This course will meet in person. In-person attendance is required.
Your active engagement in class is crucial for your success in this course. To develop the understanding and skills required in this course, your sustained and uninterrupted focus will be required. Due to this, as well as my genuine concern for your learning, any reoccurring interruptions or distractions will be discussed, addressed, and eliminated to any extent necessary.
Course grades are made up of the following components:
| Participation & Attendance | 10% |
| Discussions & Video Assignments | 10% |
| Weekly Homework Assignments | 40% |
| Statistical Reports | 40% |
| Total | 100% |
After rounding the final grade to the nearest percent:
\(A = 90-100\%, B = 80-89\%, C = 70-79\%, D =
60-69\%, F = \text{below } 60\%\)
Class sessions are for engaging new ideas together, solving problems, practicing and testing new techniques, asking questions, and helping one another stay motivated, focused, and engaged. To keep you accountable, biweekly Attendance & Participation scores will be recorded according to the rubric on Canvas.
Additionally, periodic surveys may also be included in the Participation and Attendance grades in Canvas.
If something major comes up (a death in the family, illness, hospitalization, etc.) that will cause you to miss more than two cumulative days of class, email me as soon as possible so that we can discuss alternative arrangements.
Canvas Video Quizzes and Discussion Assignments will be periodically assigned to introduce or explore ideas not fully covered in class. Please follow Canvas for instructions and due dates.
Homework exercises will be assigned weekly. Late work will receive a 10% deduction per business day past the assigned due date.
Homework serves as a crucial tool to engage, practice/play with, and assess your understanding of new ideas that are developed in class. Together with your active class participation, giving adequate time to complete online assignments is the best way to excel in this class.
Starting assignments early and turning them in on time will ensure you get the most out of assignments and allow you to integrate what we have learned and go deeper with that material in our next class.
Both inside and outside of class, you are strongly encouraged to work with each other to discuss and help one another to better understand each topic. However, you must still carry out and turn in your own work. Cases of using others’ work, including AI-generated work, as your own will be addressed immediately. (See Academic Misconduct section below.)
During the semester, two to three Statistical Reports will be assigned. Initial drafts of each report will be due one week before the final reports. More details are forthcoming in class.
Be aware and anticipate the following response times for the following types of correspondence:
In all course communication with your instructor and classmates, please follow these net etiquette (netiquette) guidelines: 1
For help with Canvas, check out the help features provided by Canvas, shown below:

The Student Success Center (SSC) offers FREE individual tutoring, hosted on the top floor of Nash Library! See the SSC website for hours and link for scheduling an appointment. It is very helpful to come to tutoring appointments with your specific questions or topics.
This and other useful resources are also provided in the “Student Resources” tab in Canvas.
While the use of the internet and AI is acceptable for brainstorming and generating ideas on a topic, keep in mind that AI-generated results and sources are often made up, and thus must be verified.
Moreover, it is cheating to submit any academic work that originates from another source as your own, including AI tools like ChatGPT, Claude, Google, Bing, etc.
When the use of AI tools is explicitly permitted on an assignment, all content from AI tools used must be cited as such, following current AI citation styles appropriate to your discipline (MLA, APA, Chicago style).
Academic dishonesty in any form is a violation of the Academic Code of Conduct and will not be tolerated. There is a zero-tolerance policy in this course for any form of plagiarism, fabrication, cheating, forgery, or any other type of academic dishonesty. Violations will be addressed one-on-one with the instructor with a report submitted to the Academic Integrity Committee.
For more on the Academic Code of Conduct please see the USAO student handbook.
The University’s accessibility policy is on page 15 of Equity Policy.
The University has a continuing commitment to providing accommodations for students with documented disabilities. To fully participate in this class, those with disabilities who may need accommodation should contact Disability Services, as soon as possible. For this semester, please do this by emailing the Disability Services Office at disabilityservices@usao.edu.
Regular class attendance is necessary to achieve the course objectives. Thus, taking care of your health and avoiding unnecessary exposure to illness is an important part of your success.
However, if you do fall ill for any reason, I want you to be able to rest. Please do not come to class if you are sick. If you are ill, please email me to let me know. Then, when you are well, contact me ASAP to make plans to make up missed work.
If you are absent from class, you are still responsible for completing all course requirements. As the instructor, I will work with you to make up work. However, it is your responsibility to contact me to make plans for making up missed work as soon as you are well. Do not wait until the end of the semester to make up missed work.
It is your responsibility to be aware of all dates listed in the USAO academic calendar.
The instructor reserves the right to make changes to this course as deemed mutually beneficial or necessary to all involved, with appropriate notification.
I encourage any feedback you have at any point during the semester. If you find any structural or content errors in any current course materials, let me know politely and respectfully via the Course Corrections discussion in Canvas, via email, or in person. If you do so, I will give one point extra credit (per correction) toward .
Partially adapted from The Core Rules of Netiquette. Shea, V. (1994). Netiquette (Online ed., pp. 32-45). San Francisco: Albion Books.↩︎