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Statistics for Economics
Apply statistical tools to analyse data and uncover economic insights.
Topics
Exam‑style questions with instant feedback.
Section 1: Why Statistics Matters for Economists
Section 2: Describing Economic Data
Section 3: Probability Foundations for Economists
Section 4: Sampling and the Central Limit Theorem
Section 5: Estimation: From Sample to Population
Section 6: Hypothesis Testing in Economics
Section 7: Correlation and Simple Linear Regression
Section 8: Multiple Regression and Econometric Extensions
What you’ll achieve
Master core statistical concepts relevant to economics.
Learn probability, hypothesis testing, and regression techniques.
Develop skills in analysing and interpreting real economic data.
Use statistics to test theories and evaluate economic policies.
Build a strong base for econometrics and applied research.
Course overview
Everything you need to excel in Statistics for Economics
Statistics for Economics provides the quantitative foundation needed to understand, interpret, and apply economic data. The course covers descriptive statistics, probability, sampling, hypothesis testing, correlation, and regression analysis. Students learn how to collect, present, and analyse data to test economic theories and evaluate policies. With practical applications and real-world datasets, the course bridges mathematics and economics, preparing learners for advanced econometrics, research, and decision-making in both academic and professional settings.
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