EXSC 520 Statistical Analysis in Exercise Science

This course targets the development of understanding in statistical methodology as it relates to the field of exercise science. Students will be able to summarize, analyze, and interpret data using descriptive and inferential statistics.

For information regarding prerequisites for this course, please refer to the Academic Course Catalog.

Course Guide

View this course’s outcomes, policies, schedule, and more.*

*The information contained in our Course Guides is provided as a sample. Specific course curriculum and requirements for each course are provided by individual instructors each semester. Students should not use Course Guides to find and complete assignments, class prerequisites, or order books.


The ability to comprehend, correctly analyze, and interpret data is essential for conducting and critiquing scientific literature. As a profession, exercise scientists are required to provide their vocational services in an evidence-based manner, which requires a complete understanding of the current academic research as well as the statistical methods used to conduct that research.


Textbook readings and presentations

No details available.

Course Requirements Checklist

After reading the Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview Section.

Discussions (2)

Discussions are collaborative learning experiences. Therefore, the student is required to provide a thread in response to the provided prompt for each Discussion. Each thread must be at least 400-500 words, demonstrate course-related knowledge, integrate 1 biblical principle, and provide a total of 2 citations from any of the following sources: peer-reviewed journal articles, published textbooks, or publications directly associated with the content being discussed (requires prior approval from the instructor).

In addition to the thread, the student is required to reply to 2 other classmates’ threads. Each reply must be at least 200-250 words and include at least 1 citation from any of the same types of sources as those approved for the thread.

Case Study Assignments (6)

Each case study will cover the reading material for the module: week in which it is assigned. Each case study will contain a practical scenario for which the student will perform the statistical analysis in SPSS, determine the outcome of the performed analysis (providing p-value(s) and an explanation of whether the finding(s) is/are significant), and explain the meaning of the outcome in relation to the stated scenario.

This quiz will cover the Learn material for the assigned module: week. This quiz will be open-book/open-notes, contain 34 multiple-choice and 2 short answer questions, and will have an 1-hour and 15-minute time limit.

This quiz will cover the Learn material for the assigned module: week. This quiz will be open-book/open-notes, contain 46 multiple-choice questions, and will have an 1-hour and 30-minute time limit.


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