Applied Statistics

CMH5123.01
Course System Home Terms Winter 2027 Applied Statistics

Course Description

Summary

Develops applied competency in statistical reasoning, including descriptive and inferential statistics, regression, effect sizes, and psychometric foundations. Emphasizes interpretation and communication of statistical findings. Includes AI-assisted data analysis tools and the importance of understanding what automated methods are actually computing.

Learning Outcomes

  • Apply statistical reasoning and appropriate descriptive and inferential methods to analyze and interpret data relevant to psychological and behavioral research
  • Evaluate statistical findings, including regression results, effect sizes, and psychometric evidence, by considering assumptions, limitations, practical significance, and implications for professional decision-making.
  • Critically evaluate and communicate statistical analyses produced through AI-assisted tools, demonstrating an understanding of the underlying computations, assumptions, and limitations and accurately conveying findings to both professional and non-specialist audiences.

Prerequisites

Enrollment in the CMHC graduate program.

Instructor

  • Faculty TBA

Day and Time

TBA

Delivery Method

Hybrid

Length of Course

Full Term

Academic Term

Winter 2027

Credits

3

Course Level

5000

Maximum Enrollment

5

Course Frequency

Every term