This course introduces fundamental statistical concepts and techniques essential for economists. It covers probability distributions, hypothesis testing, correlation, and regression analyses. Students will learn to gather and manipulate economic data, perform basic statistical tests, and apply statistical models to real-world scenarios. The course also explores non-parametric methods, sampling theory, and the central limit theorem, equipping students with the skills to solve problems using statistical software and interpret economic data effectively.
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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 module objectives and key concepts from each unit.
Practice solving numerical problems from the examples in the study units.
Create concept maps linking probability distributions, hypothesis tests, and regression techniques.
Focus on understanding the assumptions and limitations of each statistical method.
Practice interpreting statistical results and drawing economic conclusions.
Review all Tutor Marked Assignments (TMAs) and their solutions.
Allocate study time proportionally to the weight of each module in the final examination.