Psychology · HL extensions (higher level only)

DATA — Data analysis and interpretation (HL)

Psychology · SL / HL · syllabus-mapped notes

1. Descriptive and inferential statistics

   What each type of statistic does, why HL students interpret rather than calculate, and what a correlation coefficient means.

2. Significance and probability

   Statistical significance, p-values, effect size, and type I and type II errors.

3. Drawing conclusions from data

   Experimental vs non-experimental data, correlation vs causation, bidirectional ambiguity, generalizability, and reading graphs and tables.

4. Interpreting sources in paper 3

   How data-analysis skills are applied to unseen HL-extension sources across the paper's four questions.