1. Statistics Are Everywhere   

2. Visualising Data: Using Graphs to Illustrate Your Data   

3. Middle-ish: Describing the Middle and Spread of Your Data  

4. z-scores: Data Distributions, the Normal Curve, and Probability 

5. Sampling Error, the Central Limit Theorem, and Hypothesis Testing   

6. Effect Sizes and Confidence Intervals   

7. t-Tests: An Introduction to Comparing Two Things  

8. More t-Tests: How to Compare Two Samples  

9. ANOVA: Analysing More Than Two Conditions  

10. Chi-Square: No Means, No Standard Deviations, Just Groups  

11. Correlation: Do Two Things Co-Occur?  

12. Linear Regression: Correlation Prediction   

 

Appendix: Areas Under the Normal Curve (Distribution of z)