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Lecturer(s)
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Fiedor David, doc. Mgr. Ph.D.
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Course content
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1. Introduction to statistics and its role in the process of cognition 2. Basic statistical concepts - statistical features and their types, statistical units, statistical set 3. Frequency processing of the statistical file, determination of the number of intervals for group distribution of frequencies 4. Cross tabulation 5. Basic statistical characteristics - position characteristics 6. Basic statistical characteristics - variability characteristics 7. Introduction to probability theory 8. Theoretical Frequency Distribution - Normal and Normalized Normal Distribution 9. Introduction to dependent theory 10. Dependencies of nominal and ordinal characters 11. Cardinal Characteristics - Pearson's correlation coefficient
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Learning activities and teaching methods
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Lecture, Demonstration, Training in job and motor Skils
- Attendace
- 12 hours per semester
- Preparation for the Exam
- 12 hours per semester
- Homework for Teaching
- 6 hours per semester
- Preparation for the Course Credit
- 10 hours per semester
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Learning outcomes
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The Basics of Statistics course introduces students basic concepts and statistics. The student gets an overview of what statistics are and what statistical procedures can be used based on the types of data. Basic statistical characteristics are calculated without the use of software to give the student an overview of how a given characteristic or method works and thus better interpret its outcome.
The aim of this course is to acquire basis skills in descriptive statistics. It means to create one's own data sets and to use other data sets. Students are able to manage data, to apply basic statistical procedures (one-way and manifold classification, creation of contingency tables and use of coefficients for measuring the power of association of two variables, correlation and regression analysis) and mainly to interpret the analytical findings.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral exam, Written exam
passing two tests (credit) and oral exam
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Recommended literature
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Frankfort-Nachmias, Ch., Leon-Guerrero, A. (2017). Social Statistics for a Diverse Society. Los Angeles: Sage Publications.
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Mareš, P., Rabušic., L., Soukup, P. (2015). Analýza sociálněvědních dat (nejen) v SPSS. Brno: Masarykova univerzita.
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Řezanková, H. (2010). Analýza dat z dotazníkových šetření. Professional Publishing.
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