PSY 60000 Statistical Inference
- Prerequisites: None
- Delivery: On-Campus
This course introduces the foundations of inferential statistics, both parametric and nonparametric, including probability theory. Students study the general linear model, statistical analyses for inferences about mean differences (e.g., t-tests, ANOVA) and strengths of relation (e.g., correlation, regression), and their application to research.
- Display, interpret, and explore data using descriptive statistics and graphs.
- Explore assumptions about the data, including normality, skew, and kurtosis.
- Use random variables and probability distributions.
- Determine whether and how to perform statistical inference.
- Perform parametric (e.g., t-test, ANOVA, ANCOVA, MANOVA) and nonparametric (e.g., chi-square) hypothesis testing and correlation.
- Fit linear regression models and interpret their parameters.