Chapter 1: Why is my evil lecturer forcing me to learn statistics? -- Chapter 2: The SPINE of statistics -- Chapter 3: The phoenix of statistics -- Chapter 4: The IBM SPSS Statistics environment -- Chapter 5: Exploring data with graphs -- Chapter 6: The beast of bias -- Chapter 7: Non-parametric models -- Chapter 8: Correlation -- Chapter 9: The Linear Model (Regression) -- Chapter 10: Comparing two means -- Chapter 11: Moderation, mediation and multicategory predictors -- Chapter 12: GLM 1: Comparing several independent means -- Chapter 13: GLM 2: Comparing means adjusted for other predictors (analysis of covariance) -- Chapter 14: GLM 3: Factorial designs -- Chapter 15: GLM 4: Repeated-measures designs -- Chapter 16: GLM 5: Mixed designs -- Chapter 17: Multivariate analysis of variance (MANOVA) -- Chapter 18: Exploratory factor analysis -- Chapter 19: Categorical outcomes: chi-square and loglinear analysis -- Chapter 20: Categorical outcomes: logistic regression -- Chapter 21: Multilevel linear models -- Chapter 22: Epilogue