This course is a hands-on, practical journey into the world of data analysis and statistical modeling. Using professional statistical software, students will learn to uncover patterns, test ideas, and make confident predictions from real-world data.
Prerequisites: One of the following: STAT 104 with a B, STAT 106, or STAT 270
Timetable: Each Fall semester on Abbotsford Campus
This course is ideal for students in:
- Biology
- Business and Economics
- Health Sciences
- Environmental Studies
- Engineering
- Social Sciences
- Any field where data-driven decision-making is essential
Course Examples
Plant Growth Study
A botanist is interested in investigating how Sunlight (Low vs. Medium vs. High) and Watering Frequency (Weekly vs. Daily) affect plant growth (measured by height).
How do they examine:
- The individual effect of sunlight?
- The individual effect of watering frequency?
- Whether there is an interaction effect between sunlight and watering frequencies on plant growth?
Investigating Time to Cancer Relapse
Non-small cell lung cancer (NSCLC) is a common form of lung cancer, and many patients experience cancer relapse even after successful initial treatment such as surgery or chemotherapy. An important clinical question is not only whether relapse occurs, but how long patients remain relapse-free after treatment. A new adjuvant therapy, Drug X, has been developed to delay cancer relapse. How can a research study investigate whether patients receiving Drug X have a longer time to relapse compared to patients receiving the current standard of care?
More information:
See official Course Outline
https://www.ufv.ca/calendar/CourseOutlines/PDFs/STAT/STAT271-20210226.pdf
See all department’s statistics course offerings and their descriptions
https://www.ufv.ca/calendar/current/CourseDescriptions/STAT.htm