Statistics for Psychology
Arthur P. Aron, Elaine N.. Auteur du texte Aron, Elliot J. Coups · 1994
1. Displaying the order in a group of numbers. 2. Central tendency and variability. 3. Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probability. 4. Introduction to hypothesis testing. 5. Hypothesis testing with means of samples. 6. Making sense of statistical significance: Effect size and statistical power. 7. Introduction to the t test: Single sample and dependent means. 8. The t test for independent means. 9. Introduction to the analysis of variance. 10. Factorial analysis of variance. 11. Correlation. 12. Prediction. 13. Chi-square tests. 14. Strategies when population distributions are not normal: Data transformations and rank-order tests. 15. Integration and the general linear model. 16. Making sense of advanced statistical procedures in research articles.