Veidlapa Nr. M-3 (8)
Study Course Description
Mathematical Statistics
Course Code
SL_040
Branch of Science
Mathematics; Theory of probability and mathematical statistics
ECTS
3.00
Target Audience
Medicine; Pharmacy
LQF
Level 8
Study Type And Form
Full-Time
Study Course Implementer
Course Supervisor
Māra Grēve
Structure Unit Manager
Andrejs Ivanovs
Structural Unit
Statistics Unit
Contacts
23 Kapselu street, 2nd floor, Riga, statistika@rsu.lv, +371 67060897
About Study Course
Objective
To provide knowledge in the basic concepts of statistics;
Create awareness of the role of evidence-based medicine in healthcare.
Preliminary Knowledge
Knowledge in mathematics and informatics.
Learning Outcomes
Knowledge
1.On successful completion of the study course students will have knowledge that will allow: To recognize the statistical terminology and the basic methods used in various publications; To characterize measurement data using statistical indicators.
Skills
1.On successful completion of the study course, students will be able to: Correctly prepare and enter data in the IBM SPSS environment; Create and edit tables, charts; Select appropriate methods of data processing, incl. being able to perform statistical hypotheses testing; Use suitable reflection tools for statistical analysis in the description of the results.
Competences
1.On successful completion of the study course students will be able to correctly interpret the most important statistical indicators and to use the acquired basic statistical methods in the study data processing.
Assessment
Individual work
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Individual work |
-
|
-
|
|
Students have to study literature, analyze scientific publications.
|
||
Examination
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
-
|
-
|
|
Active participation in lectures and practical classes, written description of statistical analysis of own research data.
|
||
Study Course Theme Plan
FULL-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
The role of statistics in research. Descriptive statistics and inferential statistics. Testing statistical hypothesis with P-value and confidence intervals.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Types of data and measurement scales. Normal distribution. Vast range of statistical methods.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
3
|
Topics
|
Preparing data for IBM SPSS. Descriptive statistics, inferential statistics and visualization of data for proportion analysis.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
3
|
Topics
|
Descriptive statistics, inferential statistics and visualization of quantitative data and data in ordinal scale, comparing two or more than two groups.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
3
|
Topics
|
The use of correlation, linear regression and binary logistic regression analysis. Scale reliability analysis (Cronbach's alfa).
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
3
|
Topics
|
Sample size calculation in different types of research. Practical work: description of statistical methods that will be used in research.
|
Total ECTS (Creditpoints):
3.00
Contact hours:
16 Academic Hours
Final Examination:
Test
Bibliography
Required Reading
1.
Petrie A. & Sabin C. Medical Statistics at a Glance, 4th edition, Wiley-Blackwell, 2019. ISBN: 978-1-119-16781-5
2.
Peat J. & Barton B. Medical Statistics: A Guide to SPSS, Data Analysis and Critical Appraisal, 2nd edition, John Wiley & Sons, 2014. ISBN-13: 978-1118589939
3.
Field A. Discovering Statistics using IBM SPSS Statistics, 4th edition, Sage Publications, 2013. ISBN-13: 978-1446249185
Other Information Sources
1.
www.laerd.com