Terminated in academic year 2022/2023
Statistical Methods for Data Processing
| Type of study | Follow-up MasterBachelor |
|---|---|
| Language of instruction | Czech |
| Code | 541-0134/01 |
| Abbreviation | SMTV |
| Course title | Statistical Methods for Data Processing |
| Credits | 5 |
| Coordinating department | Department of Geological Engineering |
| Course coordinator | doc. RNDr. František Staněk, Ph.D. |
Subject syllabus
1. Basic statistical terms
2. Set theory – cartesian product, relation, properties of relations
3. Random event and random variable
4. Descriptive and mathematical statistics
5. Exploratory data analysis – graphical techniques and statistical tests
6. Exploratory data analysis – outliers and data transformation
7. Basic statistical characteristics – classical and robust estimators of central tendency and variability
8. Estimators of central tendency and variability for small datasets
9. Interval estimation - confidence interval
10. The significance level
11. Parametric hypothesis tests
12. Nonparametric hypothesis tests
13. Interpolation, extrapolation, approximation
14. Linear regression and correlation analysis
2. Set theory – cartesian product, relation, properties of relations
3. Random event and random variable
4. Descriptive and mathematical statistics
5. Exploratory data analysis – graphical techniques and statistical tests
6. Exploratory data analysis – outliers and data transformation
7. Basic statistical characteristics – classical and robust estimators of central tendency and variability
8. Estimators of central tendency and variability for small datasets
9. Interval estimation - confidence interval
10. The significance level
11. Parametric hypothesis tests
12. Nonparametric hypothesis tests
13. Interpolation, extrapolation, approximation
14. Linear regression and correlation analysis
Literature
Advised literature
BERTHOUEX, P. Mac a Linfield C. BROWN. Statistics for environmental engineers. 2nd ed. Boca Raton: Lewis Publishers, 2002. ISBN 15-667-0592-4 .
OTT, Lyman a Michael LONGNECKER. An introduction to statistical methods & data analysis. 7th ed. Australia: Cengage Learning, 2016. ISBN 978-1-305-26947-7 .
TRIOLA, Mario F. Essentials of statistics: understanding conventional methods and modern insights. 5th ed. Boston: Pearson, 2015. ISBN 03-219-2459-2 .
OTT, Lyman a Michael LONGNECKER. An introduction to statistical methods & data analysis. 7th ed. Australia: Cengage Learning, 2016. ISBN 978-1-305-26947-7 .
TRIOLA, Mario F. Essentials of statistics: understanding conventional methods and modern insights. 5th ed. Boston: Pearson, 2015. ISBN 03-219-2459-2 .