Course code Ekon1273
Faculty Faculty of Business, Management and Economics
Credit points, number of lectures
Credit points ECTS Credit points Total number of auditorium hours Number of lecture hours Number of seminars and practical work hours Number of student independent work hours
4 6 64 32 32 96
E-courses 2EKO1931-PLK: Statistics for Economists I 2EKO1931-NLK: Statistics for Economists I 2EKO1931-NLN: Statistics for Economists I
Course annotation The aim of the study course is to introduce students of the Bachelor's degree in economics with statistical databases,
statistical methods in economics, to give knowledge about methods of calculating statistical indicators and to improve practical skills in analyzing quantitative and qualitative data,
to reveal trends and main regularities of social processes development.
- to create an understanding of the statistical terms, formulas and principles of construction of indicators;
- create practical skills to choose appropriate indicators for data analysis;
- to acquire skills to collect and process statistical information for revealing of regularities and trends;

- to acquire and improve skills in using computer programs for performing statistical calculations.

Course responsible lecturer Jānis Priede
Results Knowledge
1. Knowledge about data sources, statistical methods and indicators, their application and interpretation in economics and business environment.
2. Knowledge about the theoretical and practical issues of statistics.

3. Ability to find, systematize and describe information.
4. To choose appropriate statistical indicators and interpret them, analyzing different economic problems.
5. Improved IT skills in the application of statistical methods.

6. Ability to analyze and evaluate the economic processes in the country, the internal and external environment of the business; the development tendencies in Latvia and in the world as a whole.
7. Explains economic processes using various statistical indicators and graphic images.

8. Can apply different statistical methods for analysis, find creative solutions in non-standard situations.

Course plan 1. Data and statistical information. L2 P2
2. Statistical observation and grouping. L2 S2
3. Descriptive Statistics: Data Tables and Data Graphing Methods. L2 P2 S2
4. Ratio values. L2 P2
5. Measures of Central Tendency. L2 S2
6. Measures of Dispersion. L2 P2
7. Probability and the counting rules for probability. L4 P2 S2
8. Probability distributions (discrete). L4 P2 S4
9. Probability distributions (continuous). L4 P2 S2
10. Sampling. L4 P2 S2

Two Mid-term tests. L4
Requirements for obtaining credit points Attendance of classes is an integral part of the assessment.
At least 50% attendance of lectures. Attendance of computer classes is obligatory.

The final mark consists of:
1) work during the semester 70%
- practical assignments in a computer class 30%
- 2 mid-term tests (20% each) 40%
2) Final test (written exam) 30%

A successful final evaluation requires a successful examination.
Admission to the exam requires at least 60% attendance of computer classes, a positive evaluation for
computer class assignments and a successful mark in at least one mid-term test

Only one attempt is given for each mid-term test.

Assignments submitted after the deadline will not be evaluated.

Study programmes Economics
Financial Management
Accounting, Analysis and Audit