Weeks | Topics |
1 |
Basic Knowledge of Matrix
|
2 |
Necessity and Definition of Matrix Knowledge
|
3 |
Matrix Types
|
4 |
Four Operations in Matrixes
|
5 |
Data Matrix in Multivariate Analyses and Descriptive Statistics
|
6 |
Standardization
|
7 |
Multivariate Normal Distribution
|
8 |
Missing Data and Evaluation
|
9 |
Multivariate Hypothesis Tests
|
10 |
Simple Linear Regression
|
11 |
Multiple Linear Regression
|
12 |
Correlation Coefficient, Multiple Correlation Coefficient
|
13 |
Use of Dummy Variables, Selection of Variables in Multiple Linear Regression Models, Basic Components Regression
|
14 |
Reliability
|