Basic Statistics (SL_019)
About Study Course
Objective
To provide students with the opportunity to acquire basic knowledge and skills in statistical methods of data processing (descriptive statistics, inferential statistical methods in difference estimation) which are necessary for the final work development and statistical indicators for use in specific field.
Prerequisites
Secondary level knowledge in mathematics and informatics.
Learning outcomes
After completion of this course, students will demonstrate basic knowledge that allow:
• to recognise terminology and used methods in different kind of publications;
• to know MS Excel and IBM SPSS offered data processing tools;
• to know data processing method criteria;
• correctly interpret the most important statistical indicators.
After completion of this course, students will demonstrate skills:
• to input and edit data in computer programs MS Excel and IBM SPSS;
• to prepare data for statistical analysis correctly;
• to choose appropriate data processing methods, incl., are able to do statistical hypothesis testing;
• statistically analyse research data using computer programs MS Excel and IBM SPSS;
• create tables and graphs in MS Excel and IBM SPSS programmes with obtained results;
• precisely describe obtained research results.
After 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 MS Excel and IBM SPSS, practically use learned statistical basic methods to process research data.
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Social work, SD | 2 | Bachelor’s | Required | Ināra Kantāne |
