From small sample data analysis to massive web data analytics, this course aims to provide the basic statistical methods used in UX to formulate evidence-based recommendations.
Provide basic concepts of statistical analysis and inference as well as advanced statistics methods. In addition to the theoretical concepts, this course will place particular emphasis on practical applications in UX.
Distinction between descriptive statistics and inference
Useful digital and visual indicators in UX
Sampling and data quality
Point estimation
Hypothesis tests
Effect sizes
Comparison of two means (parametric and non-parametric tests)
Comparison of several means from independent samples (parametric and non-parametric tests)
Two-factor ANOVA