Description

Course Description – Statistics

This course provides students with a comprehensive introduction to descriptive and inferential statistics and their application to business and economic decision-making. It develops the analytical and quantitative skills required to collect, analyse, interpret, and present data using statistical methods and software. Students learn how to formulate business problems in statistical terms, select appropriate analytical techniques, and interpret statistical results to support evidence-based decisions.

The course covers key topics including probability theory, probability distributions, sampling methods, parameter estimation, confidence intervals, hypothesis testing, analysis of variance (ANOVA), regression analysis, time series analysis and forecasting, descriptive statistics, and the fundamentals of machine learning. Practical applications are supported through the use of statistical software (SPSS), case studies, and business-oriented data analysis.

Upon successful completion of the course, students will be able to apply statistical methods to analyse business and economic data, evaluate the reliability of statistical results, interpret quantitative findings, and communicate evidence-based conclusions for business decision-making while adhering to ethical standards in data analysis.

Learning Outcomes

Development of knowledge and understanding: Students: 1. Understand basic concepts of .descriptive and mathematical statistics. 2. Learn to apply statistical methods in solving business problems. 3. Can demonstrate awareness of ethical issues in the field of statistical analysis. 4. Are able to discuss ethical issues in relation to personal beliefs and values.