| Code |
Course Name |
Language |
Type |
| END 493E |
Applied Statistics |
English |
Elective |
| Local Credits |
ECTS |
Theoretical |
Tutorial |
Laboratory |
| 3 |
4 |
3 |
0 |
0 |
| Course Prerequisites and Class Restriction |
| Prerequisites |
END 311 MIN DD
or END 311E MIN DD
|
| Class Restriction |
4.Class |
| Course Description |
| This course examines the application of multivariate methods to the analyses of data related to the field of
industrial engineering. The course will begin with a brief review of univariate statistics and related concepts.
Some time will also be spent on issues in data screening. Major emphasis will be given to dependence techniques
such as multivariate analysis of variance (MANOVA), general linear models, and multiple linear regression;
however, interdependence techniques such as factor analysis and cluster analysis will also be covered. As an
applied course, emphasis will be less on formulae and their derivation, and more on the review of (1) major
assumptions, (2) the conditions under which the analysis might be appropriate, (3) implementation of the
analysis in major statistical packages (SPSS and R). |
|
