546-0341/01 – Statistical Methods in Waste Management (StatMvOH)
| Gurantor department | Department of Environmental Engineering | Credits | 4 |
| Subject guarantor | Ing. Jaroslav Závada, Ph.D. | Subject version guarantor | Ing. Jaroslav Závada, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Choice-compulsory |
| Year | 2 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2005/2006 | Year of cancellation | 2015/2016 |
| Intended for the faculties | HGF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
In this subject students will meet with application of statistics methods in analyse and evaluation of chemical, mineralogical, biotechnological and environmental data which is important part of waste management.
Teaching methods
Lectures
Tutorials
Summary
The students of this course learn about the application of calculus of
probability and mathematical statistics for rating of raw materials and
dressing processes and their application in the area of environmental
engineering, about basic knowledge of collection and
processing of experimental data, statistical analysis of data and its
application in the laboratory and operational practice and in the evaluation
of environmental problems. Next, they will be informed about hypothesis
testing, analysis of variance and its application in the evaluation of
experiments.
Compulsory literature:
Hradecký, P.; Madryová, A.; Turčan, M. Pravděpodobnost. Ostrava: VŠB-TU, 1998
Turčan, M.; Hradecký, P.; Madryová, A.; Harbichová, 1.; Holčapek, M.
Statistika. Ostrava: VŠB - TU, 2002.
Recommended literature:
Floreková,L. Matematické modelovanie.Vysoká škola technická v Košiciach,
1986
Friedrich,V. Statistika 1 : Vysokoškolská učebnice pro distanční studium.
Plzeň : Vydavatelství ZČU, 2002.
Way of continuous check of knowledge in the course of semester
Students will pass 2 credit written tests during a semester.
E-learning
Other requirements
Condition of the credit is also a regular attendance.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. One-dimensional statistic group.
2. Types of statistic investigation.
3. Basic group and random sample.
4. Selection characteristics
5. Empirical characteristics of statistic group.
6. Parameters estimates of basic group.
7. Normal distribution.
8. Point estimates of basic group parameters.
9. Interval estimates of basic group parameters.
10. Hypotesis testing.
11. Pair test
12. Testing of distant results.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.