This course introduces basic concepts and principles of statistics for management sciences. It covers data collection, summarization, and presentation, including graphical methods. Students will learn measures of index number and dispersion, correlation, regression analysis, hypothesis tests, and time series analysis. The course also explores discrete and continuous random variables, providing a foundation for statistical decision-making in management contexts. The course aims to equip students with the skills to analyze and interpret statistical data effectively.
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Everything you need to know about this course
Key areas covered in this course
Knowledge and skills recommended for success
Basic Mathematics
Introduction to Statistics
💡 Don't have all requirements? Don't worry! Many students successfully complete this course with basic preparation and dedication.
How your progress will be evaluated (3 methods)
Comprehensive evaluation of course material understanding
Comprehensive evaluation of course material understanding
Comprehensive evaluation of course material understanding
Explore the career paths this course opens up for you
Apply your skills in this growing field
Apply your skills in this growing field
Apply your skills in this growing field
Apply your skills in this growing field
Apply your skills in this growing field
Real-world sectors where you can apply your knowledge
Expert tips to help you succeed in this course
Review all TMAs and assignments thoroughly
Focus on understanding the application of statistical tests, not just the formulas
Practice solving problems from each unit, especially regression and hypothesis testing
Create summaries of key concepts and formulas for quick reference
Allocate time to review each module equally, with extra focus on areas of weakness