Course: Methodology and Statistics 2

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Course title Methodology and Statistics 2
Course code OSE/ZTA20
Organizational form of instruction Lesson + Seminary
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 1
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Reiterová Eva, RNDr. Ph.D.
Course content
Main topics (blocks) of teaching: - Descriptive statistics, frequency tables and histograms, types of frequencies - Descriptive statistical characteristics of the base and sample set - Data files, their creation and processing - Work with categorical data, contingency tables - Statistical hypothesis testing (parametric and non-parametric tests) - Working with basic statistical methods in Microsoft Excel - Presentation of the results of statistical methods

Learning activities and teaching methods
  • Homework for Teaching - 20 hours per semester
  • Attendace - 19 hours per semester
Learning outcomes
The study expands and deepens the knowledge and skills of the student acquired in the subject Methodology and Statistics 1, especially about the use of interference statistics, working with data in quantitative research and processing the design of a research project (within the seminar arm).

Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • Hendl, J. (2016). Kvalitativní výzkum: základní teorie, metody a aplikace. Praha: Portál.
  • Hron, K.,Kunderová, P., Vencálek, O. Základy počtu pravděpodobnosti a metod matematické statistiky. Olomouc. 2021.
  • Janáček, J. (2022). Statistika jednoduše. Praha.
  • Lachout, P. (2022). Teorie pravděpodobnosti. Praha.
  • Vévodová, Š., & Ivanová, K. Základy metodologie výzkumu pro nelékařské zdravotnické profese.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Health Sciences Study plan (Version): Imaging Technology in Diagnostic Radiology (2019) Category: Health service 2 Recommended year of study:2, Recommended semester: Winter