Statistics

Data visualization. Statistical averages and measures of variation. Probability distributions. Sample surveys and making inferences about the population. Formulating and testing statistical hypotheses. Correlation and regression analysis. In the TAAB curriculum, time series analysis and indices are also covered.

NB! This course will take place in autumn semester 2025/2026 which starts on 1st of September and ends on 25th of January (you can find that information under Start date section). TalTech's timetables for Autumn semester 2025 will be published at the end of June via tunniplaan.taltech.ee. Switch the page to English and use "Search" and "Open detailed search" to find your course. NB! Some courses are taught by several lecturers during the same semester. Make sure that the course name and lecturer/teacher infromation of your course match with the information given in the Course Catalogue.

After accomplishing the course the student:

• uses descriptive and inferential statistics terms and methods correctly;
• formulates research questions in a justified manner and select appropriate data analysis methods accordingly;
• analyzes statistical data using software, applying descriptive and inferential statistical methods;
• interprets and critically evaluate datasets and the results of statistical data analysis;
• synthesizes and articulates conclusions based on data analysis results.

Final assessment can consist of one test/assignment or several smaller assignments completed during the whole course. After declaring a course the student can re-sit the exam/assessment once. Assessment can be graded or non-graded. For specific information about the assessment process please get in touch with the contact person of this course. For specific information about grade transfer please contact your home university

• Sauga, A. Statistika õpik majanduseriala üliõpilastele. Tallinn: TTÜ, 2020.
• Main textbook: Statistics for Business and Economics, by McClave, Benson,and Sincich,12thedition, Pearson.
• Alternative textbook: Statistics for Business and Economics, by Anderson, Sweeney, and Williams, West Publishing Company

lectures, practices