714-0524/02 – Statistics in the environment (SvZP)
| Gurantor department | Department of Mathematics and Descriptive Geometry | Credits | 4 |
| Subject guarantor | prof. RNDr. Radek Kučera, Ph.D. | Subject version guarantor | Mgr. Marcela Rabasová, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 1 | Semester | winter |
| | Study language | Czech |
| Year of introduction | 2013/2014 | Year of cancellation | 2019/2020 |
| Intended for the faculties | HGF | Intended for study types | Bachelor, Follow-up Master |
Subject aims expressed by acquired skills and competences
The course provides theoretical and practical base for understanding the basic concepts of the theory of probability and statistics. Students are familiarized with the methods of statistical data gathering and analyzing, with the issue of choosing the appropriate statistical method and results presentation. The course includes a development of a student project (data analysis using MS Excel).
Teaching methods
Individual consultations
Tutorials
Project work
Summary
The basics of MS Excel.
Combinatorics and probability.
Random variable and its characteristics.
Discrete random variable.
Continuous random variable.
Random vector.
Statistical file with one factor.
Statistical file with two factors.
Regression and correlation.
Point and interval estimations of parameters.
Hypothesis testing.
ANOVA.
Compulsory literature:
Recommended literature:
http://stattrek.com/tutorials/statistics-tutorial.aspx
Way of continuous check of knowledge in the course of semester
Podmínky pro udělení klasifikovaného zápočtu (kombinovaná forma studia):
- 50% účast ve cvičení (50% neúčasti lze omluvit)
- odevzdání semestrálního projektu v zadaném termínu, v předepsané formě
- absolvování písemných testů s minimálním ziskem 10 bodů za každý test
Za semestrální projekt může student získat 30 bodů, za průběžné testy 70 bodů.
Závěrečné hodnocení studenta se provádí podle následující tabulky:
Získané body: Známka:
86-100 výborně
66-85 velmi dobře
51-65 dobře
0-50 nevyhověl
E-learning
http://stattrek.com/tutorials/statistics-tutorial.aspx
Other requirements
- - - - - - - - - - -
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1.-3. Excel – formulas, graphs, contingency tables. Combinatorics. Probability. Random variable.
4.-6. Random vector. Statistical file with one and two factors. Regression and correlation.
7.-9. Point and interval estimates of parameters. Hypothesis testing. ANOVA.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction