714-0896 – Statistics (Statistics)

Gurantor department	Department of Mathematics and Descriptive Geometry
Subject guarantor	Mgr. Marcela Rabasová, Ph.D.
Study level	undergraduate or graduate

Subject version
Version code	Year of introduction	Year of cancellation	Credits
714-0896/01	2010/2011	2019/2020	5

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:

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 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

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.