Mathematical Statistics II

About Study Course

Department: Statistics Unit

ECTS:9

Course supervisor:Vinita Cauce

Study type:Full time

Course level:Master's

Target audience:Public Health

Language:Latvian

Study course description Full description, Full time

Branch of science:Mathematics; Theory of probability and mathematical statistics

Objective

To acquire in-depth knowledge, skills and abilities in specific mathematical statistical data processing methods for study purposes; for work in public health specialty; as well as promote the learning of statistical terminology and its practical application.

Prerequisites

Research methodology, basic topics in statistic, mathematics, knowledge in computer science.

Learning outcomes

Knowledge

1.Upon successful acquisition of the course, the students will:
Recognise statistical terminology and basic methods used in scientific publications;
Know SPSS offered probabilities in data processing methods;
Know different statistics methods role in scientific research work.

Skills

1.Upon successful acquisition of the course, the students will be able to:
* Set up and edit database in SPSS;
* Precisely prepare data for statistical analysis;
* Create and edit tables, graphics;
* Choose correct regression model;
* Analyse time till event data;
* Clarify tests Reliability and Validity;
* Explain results;
* Choose correct data analysis reporting methods to represent results.

Competence

1.Upon successful acquisition of the course, the students will interpret main statistical indicators in health science and practically use gained knowledge. To plan public health research work accordingly to data gathering and aggregation. Analyse processes and predict development.

Study course planning

Planning period:Year 2025, Spring semester

Study programme	Study semester	Program level	Study course category	Lecturers	Schedule
Public Health	2	Master's	Required	Vinita Cauce

Mathematical Statistics II (SL_012)

Objective

Prerequisites

Learning outcomes

Study course planning