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Introduction to Statistics

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

Course Unit Code470-2404/03
Number of ECTS Credits Allocated2 ECTS credits
Type of Course Unit *Compulsory
Level of Course Unit *First Cycle
Year of Study *Second Year
Semester when the Course Unit is deliveredSummer Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
LIT40Ing. Martina Litschmannová, Ph.D.
Summary
Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. This course will teach students the basic concepts used to describe data. With the knowledge gained in this course, students will be ready to undertake their first very own data analysis using the open source software R, which is rapidly becoming the leading programming language in statistics and data science.
Learning Outcomes of the Course Unit
This subject is an introductory course of statistics. The aim of the course is to develop sufficient knowledge of statistical tools and procedures, understanding of the underlying theory on which the procedures are based, and facility in the application of statistical tools to enable the student to incorporate sound statistical methodology into other areas of his or her own work.
Course Contents
1. Descriptive statistics of qualitative variable, i.e. frequency table, frequency graphs (bar and line graph) in MS Excel
2. Basics of working with R software (data matrices, data types, indexing, picking, mathematical and logical operators, loading files, loading files with missing values, ...) + Descriptive statistics of qualitative variables in R
3. Descriptive statistics of a quantitative variable (measures of position, measures of variability, measures of skewness and kurtosis, rounding of numerical characteristics, outliers and their identification, visualization (histogram, box plot))
4. Descriptive statistics of a quantitative variable in MS Excel (2 exercises)
5. Descriptive statistics of a quantitative variable in R
6. Credit test 1
7. Descriptive statistics for the analysis of the dependence of two quantitative variables (correlation coefficients, scattergrams, introduction to linear regression)
8. Descriptive statistics for dependence analysis of two quantitative variables - MS Excel + R
9. Descriptive statistics for paired data in MS Excel + R
10. Descriptive time series analysis (measures of dynamics, moving averages, visualization)
11. Descriptive time series analysis in MS Excel + R
12. Credit test 2
Recommended or Required Reading
Required Reading:
[1] CRAWLEY, Michael J. Statistics: an introduction using R. Chichester, West Sussex, England: J. Wiley, c2005. ISBN 978-0470022986
[2] StatSoft, Inc. (2013). Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB: http://www.statsoft.com

[1] LITSCHMANNOVÁ, M. (2011), Úvod do statistiky, elektronická skripta, dostupné online z: http://mi21.vsb.cz/modul/uvod-do-statistiky
[2] CRAWLEY, Michael J. Statistics: an introduction using R. Chichester, West Sussex, England: J. Wiley, c2005. ISBN 978-0470022986
Recommended Reading:
[1] Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University.
[1] PAVLÍK, T., DUŠEK, L. (2012): Biostatistika, Akademické nakladatelství CERM, ISBN 978-80-7204-782-6
[2] ZVÁROVÁ, J. (2016, 3. vydání): Základy statistiky pro biomedicínské obory I., Karolinum, ISBN 978-80-246-3416-6
[3] StatSoft, Inc. (2013). Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB: http://www.statsoft.com
Planned learning activities and teaching methods
Lectures, Tutorials, Project work
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
CreditCredit40 (40)20
        Project 1Project10 2
        Project 2Project10 2
        Project 3Project10 2
        Project 4Project10 2