AHC611 Principles of Statistics
This is a graduate-level introduction to statistics for human-computer interaction. Topics include principles of inferential statistics, hypothesis testing, and experimental design; data handling, description, and visualization; probability; confidence intervals and t-tests; chi-square test, analysis of variance, and multiple comparisons; and simple linear regression. Students will learn to apply these tools to real-world data using R, and how to interpret and communicate the results of their analyses. No prior statistics or programming knowledge is required.
Distribution
Graduate, In-person, Masters