Lecturer(s)


Zapletalová Jana, Mgr. Dr.

Kolářová Hana, prof. RNDr. CSc.

Course content

Basic principles of statistical reasoning, deduction and induction, risks of errors, the types of errors, kinds of clinical studies, concepts of population and sample taken from it and random sampling methods. The types of data, descriptive statistics, the characteristics of the data location and variability should be presented, the same for frequency distribution, distribution function and theoretical models of probability distributions; also the principles of testing hypotheses, parametric and nonparametric tests as well, correlation and regression should be presented.

Learning activities and teaching methods

Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming), Training in job and motor Skils

Learning outcomes

The goal is to make students familiar with basic principles of statistical reasoning, deduction and induction, with risks of the errors and the kind of errors, with the kind of clinical studies, with the concepts of population and the sample taken from it and with the random sampling methods. The kinds of data, descriptive statistics, the characteristics of the data location and variability should be presented, the same for frequency distribution, distribution function and theoretical models of probability distributions; also the principles of testing hypotheses, parametric and nonparametric tests as well, correlation and regression should be presented.
When going through the subject the student should be able to implement acquired knowledge in practice and in the research activities as well, student should manage the basic techniques of statistical computation by means of the statistical software accessible.

Prerequisites

Students ought to have fundamental attainments in mathematics and statistics at the secondary education level.
OPD/RDA01 and LBF/RDA01 and LBF/RDA02 and LBF/RDA03 and RAM/RDA01 and LBF/RDB04 and PAT/RDB01 and OPD/RDB01 and RAM/RDB04 and OPD/RDB10 and HUM/RDB03 and OPD/RDB10

Assessment methods and criteria

Written exam, Student performance
Tutorial completion, meet the point limit for written test.

Recommended literature


Zapletalová. Statistika (výukové texty v pdf).

Zvárová. učebnice statistiky na ucebnice.euromise.cz.
