Description

Course Description – Applied Business Statistics

This course provides students with advanced knowledge of statistical methods and their application to business analysis and decision-making. It focuses on the use of quantitative techniques to formulate, analyse, and interpret business and economic problems using statistical reasoning. Students develop the ability to collect, manage, and evaluate data, apply appropriate statistical methods, and draw evidence-based conclusions to support managerial decisions.

The course covers key topics including data collection and sampling methods, survey design, sample analysis, parameter estimation, hypothesis testing, analysis of variance (ANOVA), correlation and dependency analysis, and the preparation of research reports. Through case studies, practical exercises, and the use of statistical software, students strengthen their analytical and problem-solving skills while gaining experience in interpreting statistical results within business contexts.

Upon successful completion of the course, students will be able to apply statistical methods to analyse business data, evaluate the reliability and validity of research findings, interpret quantitative results, and communicate evidence-based recommendations that support effective business decision-making.

Contents

Cognitive/Intellectual skills 1. Students conduct critical analysis and apply theoretical approaches to solving professional problems. 2. Students integrate different knowledge and procedures and use professional literature. 3. Students select appropriate methods for problem solving and evaluate the relevance of collected data. 4. Students identify problems from multiple perspectives. Key/Transferable skills 1. Students apply acquired knowledge in a specific professional context. 2. Students undertake autonomous learning for their professional development. 3. Students use information technology to address professional tasks. 4. Students develop and enhance communication skills for professional communication. Practical skills 1. Students perform statistical data analysis and interpret results.

Learning Outcomes

Cognitive/Intellectual skills 1. Students conduct critical analysis and apply theoretical approaches to solving professional problems. 2. Students integrate different knowledge and procedures and use professional literature. 3. Students select appropriate methods for problem solving and evaluate the relevance of collected data. 4. Students identify problems from multiple perspectives. Key/Transferable skills 1. Students apply acquired knowledge in a specific professional context. 2. Students undertake autonomous learning for their professional development. 3. Students use information technology to address professional tasks. 4. Students develop and enhance communication skills for professional communication. Practical skills 1. Students perform statistical data analysis and interpret results.