Final International University LMS 2

This course is designed to study principles, elements, and practices underlying effective business communication. The course focuses on approaches for planning, creating, and transmitting business information within a variety of business situations found in the global marketplace.

Course Aims and Objectives: The aim of this course is to introduce students to the principles and applications of statistics in business and economics. Students will learn how to collect, organize, summarize, and analyze data, apply probability concepts, and use statistical inference techniques for managerial decision-making. The course emphasizes interpretation of statistical results and their relevance to real-world business problems.

Course Content: The course covers descriptive statistics, probability theory, discrete and normal distributions, sampling distributions, estimation, and hypothesis testing. Applications in business, economics, and management decision-making are integrated throughout

Course Learning Outcomes (CLOs): 

(Knowledge, skills and competencies expected to be achieved at the end of the course) 1) On the successful completion of the course, students will be able to:

• Explain fundamental concepts and principles of statistics and their role in business and economics.

• Describe different types of data and appropriate methods for data collection, organization, and presentation.

• Apply probability concepts and basic statistical inference techniques to analyze business problems.

• Interpret statistical findings and relate them to real-world managerial decisions.

2) On successful completion of the course, students will have developed their skills in:

• Using statistical tools and software to summarize and analyze data effectively.

• Applying quantitative reasoning to support evidence-based decision-making.

• Solving business problems through statistical analysis and logical interpretation.

• Presenting statistical results clearly and professionally in written and oral form.

3) On successful completion of the course, students will have developed their appreciation of values related to:

• The importance of accuracy, integrity, and objectivity in data analysis.

• Ethical use of statistical information in business and research contexts.

• The value of data-driven thinking and continuous learning for effective management and leadership.