Course: Statistical Processing of Data on PC

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Course title Statistical Processing of Data on PC
Course code KVV/STPC
Organizational form of instruction Tutorial
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 2
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)
  • Myslivec Jaroslav, Ing. Ph.D.
Course content
Basic terms. The calculation of the basic characteristics of statistical data. Explorative methods. The analysis of the data. The visualization of the data and the interpretation of the results.

Learning activities and teaching methods
Monologic (reading, lecture, briefing)
Learning outcomes
The objective of the course is to introduce the students to the statistical processing of data on PC and to the possibilities of their presentation. The attention will be drawn to the calculation of basic characteristics of the statistical data, to explorative methods and to the analysis of the data, to the visualization of the data and interpretation of the results.
The students will enhance their knowledge in the field of Statistical Processing of Data on PC with regard to the students´ specialization.
Prerequisites
unspecified
KVV/MEPČ

Assessment methods and criteria
Written examination

Before entering the course the students are required to have passed the course MEPČ. Participation in the seminars and a paper.
Recommended literature
  • Hebák, P.; SVOBODA, L. Statistika v SPSS.. Praha: Vysoká škola ekonomická, 2004.
  • Ho, R. Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS. Boca Raton: Chapman & Hall/CRC, 2006.
  • Chajdiak, J. Štatistika v Exceli. . Bratislava: Statis, 2002.
  • Meloun, M.; Militký, J. Kompendium statistického zpracování dat. . Praha: Academia, 2006.
  • Meloun, M.; Militký, J.; Hill, M. Počítačová analýza vícerozměrných dat v příkladech. . Praha: Academia, 2006.
  • Petr, P.; Jonášová, H. Základy informačních technologií. Excel. . Pardubice: Univerzita Pardubice, 2004.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Arts and Philosophy Study plan (Version): Resocialization Pedagogy (2013) Category: Pedagogy, teacher training and social care 2 Recommended year of study:2, Recommended semester: Winter