People Innovation Excellence

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.

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