Applied Statistics
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
11APAS | Z,ZK | 4 | 2P+2C+12B | Czech |
- Course guarantor:
- Lecturer:
- Pavla Pecherková, Evženie Uglickich
- Tutor:
- Pavla Pecherková, Evženie Uglickich
- Supervisor:
- Department of Applied Mathematics
- Synopsis:
-
Descriptive statistics, data preprocessing, discretize continuous data. Hypothesis testing - continuous and discrete variables. Regression and correlation analysis. Multivariable methods - multiple regression analysis, logistic regression analysis, ROC curve, MANOVA, PCA, Factor analysis. Power analysis, preparation, processing and evaluation of hte experiment.
- Requirements:
-
Completion of the course 11STAT (or alternatives)
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
-
To teach students the statistical processing of data, the choice of the correct processing procedure and the following evaluation of the obtained data, including adequate graphical outputs and the defense of the chosen procedure.
- Study materials:
-
D.G. Kleinbaum, L.L.Kuper, A. Nizam, K.E. Muller: Applied Regression Analysis and Other Multivariable Methods 4th edition, ISBN-13: 978-049538496
- Note:
- Time-table for winter semester 2024/2025:
-
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri - Time-table for summer semester 2024/2025:
- Time-table is not available yet
- The course is a part of the following study plans:
-
- PL nav.prez.22/23 (pro program PL) (compulsory course)
- PL nav.kombi 22/23 (pro program PL) (compulsory course)
- PL nav.prez.23/24 (pro program PL) (compulsory course)
- PL nav.kombi 23/24 (pro program PL) (compulsory course)
- PL nav.prez.24/25 (pro program PL) (compulsory course)
- PL nav.kombi 24/25 (pro program PL) (compulsory course)