Overview
Having been introduced to the idea that many common statistical tests are variations on a common theme (the linear model), the next topic looks at some specific statistical concepts that have relevance to this model. Although this is, of course, a vast oversimplification, if you understand the five concepts described in this tutorial then you have already grasped most of what you need to know to get going with analysing data with classical models. The five concepts are:
1. Parameters
2. Estimation
3. Null Hypothesis Significance Testing (NHST)
4. Interval estimates (confidence intervals)
5. Standard error
This tutorial is a whistle stop tour of these five concepts.
Resources
- PDF Handout on effect sizes and Null Hypothesis Significance Testing.