Veidlapa Nr. M-3 (8)
Study Course Description
Statistics
Course Code
SZF_096
Branch of Science
Economics and Business
ECTS
4.00
Target Audience
Business Management; Marketing and Advertising
LQF
Level 6
Study Type And Form
Full-Time; Part-Time
Study Course Implementer
Course Supervisor
Evija Liepa-Hazeleja
Structure Unit Manager
Ieva Puzo
Structural Unit
Faculty of Social Sciences
Contacts
Dzirciema street 16, Rīga, szf@rsu.lv
About Study Course
Objective
To develop students’ understanding of the role of statistics in market conditions.
Preliminary Knowledge
Mathematics.
Learning Outcomes
Knowledge
1.After the completion of the study course, students acquire knowledge about information, possibilities for its acquisition, grouping, data processing methods.
Skills
1.Students answer logically and reasonably the questions on the topics covered, analyse the theoretical matters discussed in the lectures; are able to perceive and systematically present in a concise way the main theoretical questions and regularities of statistics.
Competences
1.Students will be able to classify populations, perform economic interpretation of matrices, explain the function research algorithm, define concepts of financial mathematics.
Assessment
Individual work
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Individual work |
-
|
-
|
|
Home assignment, report, summaries.
The purpose of writing summaries (each topic: 3 – 4 pages, excluding the title page) is to develop students’ ability to reproduce the material learned, to focus on the most important aspects of the topic, and to work with the available literature. When writing the summary, reference must be made to the literature used.
The purpose of writing an individual report (8 pages, excluding the title page) is to develop students’ analytical skills, therefore it cannot be a description. Objectives of the report: to define the main problems of the topic; to evaluate alternative views; to offer one’s own opinion substantiating it. References to literature must be used when writing the report.
In order to evaluate the quality of the study course as a whole, the student must fill out the study course evaluation questionnaire on the Student Portal.
|
||
Examination
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
-
|
-
|
|
The final grade (using a 10-point scale) is formed on the basis of the following assessments:
attendance of lectures and seminars (5%);
activity and quality of answers in seminars (15%);
grades for prepared summaries (25%);
independent work (25%);
exam work (30%).
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Study Course Theme Plan
FULL-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Statistical observation errors.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Calculation of the characteristics of the selected dynamic series.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Concept, aims, and tasks of statistics.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Principles of selection of grouping characteristics, formation of groups and intervals.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Ways of obtaining information. Types of questions. Aim of survey.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Identification of the general population. Determination of sample size. Sampling.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Moving average model. Time series. Trend. Seasonality.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Moving average model. Time series. Trend. Seasonality.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Absolute and relative indices of variation. Dispersion and standard deviation. Mean and mean relative standard errors of sampling.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Individual indices and co-indices.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Concept, aims, and tasks of statistics.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Ways of obtaining information. Types of questions. Aim of survey.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Individual indices and co-indices.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Identification of the general population. Determination of sample size. Sampling.
|
Total ECTS (Creditpoints):
4.00
Contact hours:
28 Academic Hours
Final Examination:
Exam (Written)
PART-TIME
Part 1
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Ways of obtaining information. Types of questions. Aim of survey.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Concept, aims, and tasks of statistics.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Identification of the general population. Determination of sample size. Sampling.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Identification of the general population. Determination of sample size. Sampling.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Concept, aims, and tasks of statistics.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Principles of selection of grouping characteristics, formation of groups and intervals.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Calculation of the characteristics of the selected dynamic series.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Statistical observation errors.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Ways of obtaining information. Types of questions. Aim of survey.
|
Total ECTS (Creditpoints):
4.00
Contact hours:
18 Academic Hours
Final Examination:
Exam (Written)
Bibliography
Required Reading
1.
Arhipova I., Bāliņa S. Statistika ekonomikā un biznesā: risinājumi ar SPSS un MS Excel: mācību līdzeklis. Datorzinību centrs, Rīga: 2003. 349 lpp.
2.
Krastiņš, O., Ciemiņa, I. Statistika. Rīga: LR CSP. 2003. 267 lpp.
3.
Kristapsone S. Statistiskās analīzes metodes pētījumā. Rīga: 2019. 478 lpp.
4.
Orlovska A., Jurgelāne I. Ekonomiskā statistika. RTU, Rīga: 2016. 155 lpp.
5.
Volodko I. Augstākā matemātika. I daļa. Rīga: Zvaigzne ABC, 2007. 294 lpp.
6.
Volodko I. Augstākā matemātika. II daļa. Rīga: Zvaigzne ABC, 2009. 396 lpp.
Additional Reading
1.
Orlovska, A. Statistika: mācību līdzeklis. Rīga: RTU, 2004. 81 lpp.
2.
Revina I. Ekonometrija. Rīga: EuroFaculty, 2002.
3.
Donald D. Cooper, Pamela S. Schindler. Business Research Methods. McGraw-Hill, 2013.
4.
Field A. Discovering Statistics using IBM SPSS Statistics. 4th edition, 2013.
5.
Jones P. W., Smith P. Stochastic Processes. An Introduction. 3rd edition. CRC press, 2018.
6.
Нименья И.Н. Статистика. Санкт-Петербург, Издательский дом «Нева». 2004.
Other Information Sources
1.
Finansu un kapitāla tirgus komisijas mājas lapa
2.
Freināts L., Voronova I. Statistikas analīzes modelis: kā investīciju stratēģijas pamats. Economics & Business. 2012, Vol. 22, p36-41. 6p., EBSCO datu bāze
3.
Centrālais statistikas birojs. Statistikas rokasgrāmata
4.
Likumi.lv, Statistikas likums