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About Study Course

Department: Statistics Unit
Credit points / ECTS:2 / 3
Course supervisor:Ināra Kantāne
Course level:Master's
Target audience:Rehabilitation
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics

Objective

To get in-depth knowledge in data processing methods (descriptive statistics, inferential statistics to estimate characteristics of the entire population), that can be used in thesis work and in their speciality.

Prerequisites

Secondary school level knowledge in Mathematics and Informatics.

Learning outcomes

Knowledge

On completion of the study course, students will demonstrate knowledge that allows to:
* recognise terminology used in statistics and methods used in different publications;
* know Excel and IBM SPSS Statistics offered data processing tools;
* know data processing method criteria;
* correctly interpret obtained research results.

Skills

On completion of this course, students will demonstrate skills to:
* prepare data for statistical analysis correctly;
* choose appropriate statistic data processing methods;
* statistically analyse research data using computer programs Microsoft Excel and IBM SPSS Statistics;
* create tables and graphs in Excel and IBM SPSS Statistics programs with obtained results;
* precisely describe the obtained research results.

Competence

On completion of this course, students will be able to argument and make decisions about statistical data processing methods, use them to achieve research aims, using computer programs Excel and IBM SPSS Statistics, practically use acquired statistical methods to process research data.

Study course planning

Course planning not avalible right now.