This course introduces students to quantitative methods in economics. It covers basic statistical definitions, data collection, measures of central tendency and dispersion. Students will learn to compute and interpret moments, skewness, kurtosis, and probability distributions. The course also explores index numbers and their applications in economic analysis, business, and finance. Emphasis is placed on applying statistical techniques to solve real-world economic problems.
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Everything you need to know about this course
Key areas covered in this course
No specific requirements needed
This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.
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 definitions and formulas from Units 1-5 in Modules 3 and 5.
Practice calculating measures of central tendency and dispersion for both grouped and ungrouped data.
Focus on understanding the differences between various sampling techniques.
Create diagrams illustrating probability concepts like mutually exclusive and independent events.
Work through all examples in the study units and attempt similar problems from textbooks.
Pay special attention to the application of Bayes' theorem and index number calculations.
Review all Tutor-Marked Assignments (TMAs) and address any areas of weakness identified by your tutor.