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ECTS Course Overview



Statistics

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code310-2305/01
Number of ECTS Credits Allocated5 ECTS credits
Type of Course Unit *Compulsory
Level of Course Unit *First Cycle
Year of Study *
Semester when the Course Unit is deliveredWinter, Summer Semester
Mode of DeliveryFace-to-face
Language of InstructionEnglish
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
KAH14Mgr. Marcela Rabasová, Ph.D.
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.
Learning Outcomes of the Course Unit
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.
Course Contents
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.
Recommended or Required Reading
Required Reading:
W.J. DeCoursey: Statistics and Probability for Engineering Applications With Microsoft(R) Excel. Copyright © 2003 Elsevier Inc. ISBN 978-0-7506-7618-2. Available on-line: http://www.sciencedirect.com/science/book/9780750676182
W.J. DeCoursey: Statistics and Probability for Engineering Applications With Microsoft(R) Excel. Copyright © 2003 Elsevier Inc. ISBN 978-0-7506-7618-2. Available on-line: http://www.sciencedirect.com/science/book/9780750676182
Recommended Reading:
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
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
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Tasks are not Defined