Mathematical Statistics I (SL_008)
About Study Course
Objective
To get basic knowledge about descriptive statistics, hypothesis testing and IBM SPSS options in data processing.
Prerequisites
Secondary school background in mathematics and informatics. Preferably informatics lectures should be taken during first year.
Learning outcomes
As a result of successful acquisition of the course, students:
• will name and explain the basis for the most important descriptive statistics and hypothesis testing in Latvian and English.
• recognise basic situations in the processing of descriptive statistics and hypotheses at basic level.
As a result of successful acquisition of the course, students will be able to:
• prepare data for processing in the IBM SPSS environment.
• select data based on different criteria in the SPSS environment.
• take decisions on the calculation of appropriate descriptive statistics, the design of charts and the verification of hypotheses at basic level.
• calculate descriptive statistics, design charts and tables.
• perform hypothesis testing at the base level in IBM SPSS environments.
• interpret data processing results according to speciality.
As a result of successful learning of the course, students will be able to correctly interpret static indicators by reading scientific literature in a specialty.
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Public Health, SVF | 3 | Bachelor’s | Required | Vinita Cauce |
