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About Study Course

Department: Statistical Unit
Credit points / ECTS:2 / 3
Course supervisor:Ināra Kantāne
Study type:Part time, Full time
Course level:Bachelor
Target audience:Rehabilitation
Language:Latvian
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics

Objective

To get basic knowledge in data processing methods (descriptive statistics, inferential statistics to estimate differences), that can be used in bachelor's paper and in their speciality.

Prerequisites

Secondary school knowledge in Mathematics and Informatics.

Learning outcomes

Knowledge

Upon completion of this course, students will demonstrate knowledge that allows to:
* recognise terminology used in statistics and basic methods used in different publications;
* know Excel and IBM SPSS Statstics offered data processing tools;
* know data processing method criteria;
* correctly interpret the most important statistical indicators.

Skills

Upon completion of this course, students will demonstrate skills to:
* input and edit data in computer programs Excel and IBM SPSS Statistics;
* prepare data for statistical analysis correctly;
* choose appropriate data processing methods, incl., ability to do statistical hypothesis testing;
* statistically analyse research data using computer programs Excel and IBM SPSS Statistics;
* create tables and graphs in Excel and IBM SPSS Statistics programs with obtained results;
* correctly describe obtained research results.

Competence

Upon 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 learned statistical basic methods to process research data.

Study course planning

Planning period:Year 2021, Autumn semester
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