FF:PBSNPB42 Basics of the Statistics - Course Information

PBSNPB42 Basics of the Statistics

Extent and Intensity

0/2/0. 4 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. Mgr. Martin Sedláček, Ph.D. (lecturer), doc. PhDr. Dana Knotová, Ph.D. (deputy)

Guaranteed by

doc. Mgr. Petr Novotný, Ph.D.
Department of Educational Sciences – Faculty of Arts
Contact Person: Mgr. Kateřina Zelená
Supplier department: Department of Educational Sciences – Faculty of Arts

Timetable

Tue 12:00–13:40 B2.33

Prerequisites (in Czech)

Základní znalost ovládání PC a tabulového procesoru např. MS Excel.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 15 student(s).
Current registration and enrolment status: enrolled: 0/15, only registered: 0/15, only registered with preference (fields directly associated with the programme): 0/15

fields of study / plans the course is directly associated with

• Social Education and Counselling (programme FF, N-PD)

Course objectives

The aim of the course is to approach basics of statistical analyzing data acquired from a quantitative survey. Students will be introduced especially to work with statistical sets and variables: creating a set, data navigation and data cleaning, set operations, data translation, creating new variables, case selection and to basic data analysis methods, i.e. to: (1) decomposition of categorical and continuous data and characteristics of this decomposition - univariational analysis; (2) comparison of data allocation and average values of these allocations: t-test, variants analysis; (3) basics of inferential statistics and testing of statistical hypothesis; (4) finding relations between variables and evaluating strength of these relations – bivariational analysis using contingency tables, correlative analysis; (5) finding linear relations between continuous variables: linear regression and scatterplot; (6) data reduction using factor analysis as an attempt to identify factors explaining higher correlation between particular variables (basics of multivariational analysis). After finishing the course, students are able to: demonstrate the basics methods of analyzing data acquired from a quantitative survey.

Syllabus

• (1) decomposition of categorical and continuous data and characteristics of this decomposition - univariational analysis;
• (2) comparison of data allocation and average values of these allocations: t-test, variants analysis;
• (3) basics of inferential statistics and testing of statistical hypothesis;
• (4) finding relations between variables and evaluating strength of these relations – bivariational analysis using contingency tables, correlative analysis;
• (5) finding linear relations between continuous variables: linear regression and scatterplot;
• (6) data reduction using factor analysis as an attempt to identify factors explaining higher correlation between particular variables (basics of multivariational analysis)

Literature

• HENDL, Jan. Kvalitativní výzkum : základní metody a aplikace. Vyd. 1. Praha: Portál, 2005, 407 s. ISBN 8073670402. info
• ANDĚL, J. Základy matematické statistiky. Praha: MFF UK, 2005. info
• HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
• SEBEROVÁ, Helena and Martin SEBERA. Počítačové zpracování dat II. 1. vyd. Vyškov: VVŠ PV, 1999, 134 pp. ISBN 80-7231-052-6. info
• ZVÁRA, Karel. Biostatistika. 1. vyd. Praha: Karolinum, 1998, 210 s. ISBN 8071847739. info

Teaching methods

The course is taught as seminars. Attendance and participation in the course (min. 75%).

Assessment methods

written test

Language of instruction

Czech

Further Comments

Study Materials
The course is taught annually.

• Enrolment Statistics (Spring 2020, recent)
  
• Permalink: https://is.muni.cz/course/phil/spring2020/PBSNPB42