310-2305/01 – Statistics (Statistics)
| Gurantor department | Department of Mathematics and Descriptive Geometry | Credits | 5 |
| Subject guarantor | Mgr. Marcela Rabasová, Ph.D. | Subject version guarantor | Mgr. Marcela Rabasová, Ph.D. |
| Study level | undergraduate or graduate | | |
| | Study language | English |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | FMT, HGF, FS, FEI, FAST, FBI | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
This is an introductory course in statistics. The aim is to understand of statistical methods for data analysis. Students will be able to interpret results of basic statistical analysis in a selected statistical software. The theory behind statistical tools and procedures will be described as well. Lectures will be in English. It is necessary to complete Mathematics 1 and Mathematics 2 courses or their equivalents.
Teaching methods
Lectures
Tutorials
Summary
Introduction to probability, Discrete and continuous random variables, Numerical characteristics of random variables, Exploratory data analysis, Point and interval estimations of parameters, Hypothesis testing, Simple linear regression model.
Compulsory literature:
Recommended literature:
Radim Briš, Petra Škňouřilová. STATISTICS I. VŠB - Technical University of Ostrava, Ostrava 2007.
Atwood C. L. Hits per Trial: Basic Analysis of Binomial Data. Department of Energy, 1994 ; DOI: 10.2172/10191270. Available on-line: http://www.osti.gov/bridge/product.biblio.jsp?osti_id=10191270
Additional study materials
Way of continuous check of knowledge in the course of semester
Course-credit
-participation on tutorials is obligatory, 20% of absence can be apologized,
-elaborate one program - statistical data analysis
-pass the written tests,
Point classification: 5-20 points.
Exam
Practical part of an exam is classified by 0 - 60 points. Practical part is successful if student obtains at least 25 points.
Theoretical part of the exam is classified by 0 - 20 points.
Point quantification in the interval 100 - 91 90 - 81 80 - 71 70 - 61 60 - 51 50 - 0
ECTS grade A B C D E F
Point quantification in the interval 100 - 86 85 - 66 65 - 51 51 - 0
National grading scheme excellent very good satisfactory failed
E-learning
http://stattrek.com/tutorials/statistics-tutorial.aspx
Other requirements
There are no other requirements on students.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Introduction to probability
2. Discrete and Continuous random variables
3. Numerical characteristics of random variables
4. Exploratory data analysis
5. Point and interval estimations of parameters
6. Hypothesis testing
7. Simple linear regression model.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.