Psychological Statistics

Learning Outcomes

At the end of this course, the students will be able to demonstrate techniques, principles, assumption, parameter estimation, hypothesis testing, analysis of variance and regression; correlate independent and dependent variable

Topics

1. Introduction
2. Frequency distribution
3. Tendency central
4. Variability measurement
5. Location score and standard distribution
6. Probability and normal distribution
7. Probability and sampling
8. Hypothesis testing
9. T test statistics
10. T test for two independent samples
11. T test for two related examples; Parameter estimation
12. Analysis of variance
13. Hypothesis testing at analysis of variance
14. Hypothesis testing and repeating measurement at ANOVA
15. ANOVA table and F test
16. Analysis of variance of two factors
17. Correlation of two factors
18. Correlation of two variables
19. Correlation and hypothesis testing
20. Linear regression
21. Multiple linear regression
22. Khi quadrat testing
23. Freedom and proportion testing
24. Non parametric testing
25. Kruskal -Wallis and Friedman testing