APPLIED BUSINESS STATISTICS (2/2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to:

1. Explain the concept of statistic
2. Apply statistical concept properly
3. Analyze the statistical methods ethically to solve economic and business problems

Topics:

1. Describing Data: Numerical Measures, Displaying Data and Exploring Data
2. A Survey of Probability Concepts
3. Discrete Probability Distributions
4. Continuous Probability Distributions
5. Estimation and Confidence Intervals
6. Two Sample Tests of Hypothesis
7. Analysis of Variance
8. Nonparametric Methods: Nominal Level Hypothesis Tests
9. Nonparametric Methods: Analysis of Ordinal Data
10. Lab Introduction to Statistics
11. Lab Validity & Reliability
12. Lab Linear Regression
13. Lab Multiple Regression
14. Lab ANOVA
15. Lab Chi Square
16. Lab Sign Wilcoxon
17. Describing Data: Numerical Measures, Displaying Data and Exploring Data
18. A Survey of Probability Concepts
19. Discrete Probability Distributions
20. Continuous Probability Distributions
21. Estimation and Confidence Intervals
22. One Sample Tests of Hypothesis
23. Two Sample Tests of Hypothesis
24. Correlation, Linear Regression and Multiple Regression Analysis
25. Analysis of Variance
26. Nonparametric Methods: Nominal Level Hypothesis Tests
27. Nonparametric Methods: Analysis of Ordinal Data
28. Partial Least Squares Structural Equation Modeling (PLS-SEM)
29. Introduction to Statistics
30. Validity & Reliability
31. Normality & Classical Assumptions
32. Bivariate Correlation & Partial Correlation
33. Linear Regression
34. Multiple Regression
35. ANOVA
36. Chi Square & Mann Whitney
37. Sign Wilcoxon & Kruskall Wallis
38. Partial Least Squares Structural Equation Modeling (PLS-SEM)