STATISTICS FOR EDUCATION (4 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: Explain statistical concept; Apply knowledge and skills with variety of statistical concept; Apply skills with tools useful for statistical applications.

Topics:

1. Basic Concept in Statistics;
2. Descriptive Statistics;
3. The Normal Curve and Standard Scores;
4. Confidence Interval, Hypothesis Testing, Z-Test;
5. The T-Test;
6. The T-Test  Using SPSS;
7. Independent-Sample T-Test;
8. Independent-Sample T-Test Using SPSS;
9. Analysis Of Variance;
10. ANOVA Using SPSS;
11. Correlation;
12. Correlation Using SPSS;
13. Regression;
14. Regression Using SPSS;
15. Reliability and Validity;
16. The Chi-Square Goodness of Fit Test;
17. The Chi-Square Goodness of Fit Test Using SPSS;
18. The Sign Test and The Wilcoxon Rank Sum Test;
19. The Kolmogorov-Smirnov One-Sample Test;
20. The Wilcoxon test using SPSS and The Kolmogorov-Smirnov One-Sample test using SPSS;
21. The Mann-Whitney Test;
22. The Mann-Whitney Test Using SPSS;
23. The Kruskal-Wallis Test (Small Data);
24. The Kruskal-Wallis Test (Small Data) Using SPSS;
25. The Kruskal-Wallis Test (Large Data);
26. The Kruskal-Wallis Test (Large Data) Using SPSS.