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About Study Course

Department: Statistical Unit
Credit points / ECTS:2 / 3
Course supervisor: Diāna Kalniņa
Study type:Full time
Course level:Master's
Target audience:Communication Science
Language:Latvian
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics

Objective

Promote knowledge acquisition of key issues, statistical indicators and tests used in health statistics. Raise the students’ awareness of the role of statistics in research and interpretation.

Prerequisites

Basic knowledge of Mathematics.

Learning outcomes

Knowledge

1. Accurate use of basic statistical concepts.
2. Describe measurement data using basic statistical tests and indicators.

Skills

1. Able to enter data in the processing program.
2. Determine the type of data and evaluate their distribution.
3. Able to formulate hypotheses (zero; alternative) and choose the appropriate test.
4. Able to calculate ratios of the regression equation.
5. Able to calculate Pearson and Spearman’s correlation ratios.
6. Able to draw data specific diagrams.

Competence

Students will be able to select appropriate statistical data processing methods, formulate hypotheses, process data and interpret the obtained results. Evaluate the obtained data using statistical and analytical tools.

Study course planning

Planning period:Year 2020, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Health Communication2Master’sLimited choiceDiāna Kalniņa
Planning period:Year 2021, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Health Communication2Master’sLimited choiceDiāna Kalniņa