Abstract
Preface Data, Samples and Statistics Probability Distributions Confidence Intervals Significance Tests Regression Correlation and Covariance Effect Size Statistical Power Exploring Messy Data Dealing with Messy Data Alternatives to Classical Statistical Inference Multiple Regression and the General Linear Model ANOVA and ANCOVA with Independent Measures Interactions Contrasts Repeated Measures ANOVA Modelling Discrete Outcomes Multilevel Models References
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