Statistics for Economics — Introduction

Statistics in economics is the systematic collection, organisation, presentation, analysis and interpretation of numerical information. It helps an economist move from raw observations to evidence-based conclusions.

Why statistics is needed

Economic variables such as prices, income, employment, output and consumption generate large amounts of information. Statistics makes that information comparable and interpretable.

Limits of statistics

• Statistics describes patterns but does not automatically explain their causes.
• Averages can hide differences within a population.
• Bad sampling or biased data can produce misleading conclusions.
• Correlation does not by itself establish causation.

MCQs with explanations

1. Which is a key use of statistics in economics?
   A. Eliminating scarcity B. Organising and interpreting economic data C. Guaranteeing forecasts D. Replacing economic theory
   Answer: B.
   Explanation: Statistics turns observations into organised evidence. It supports economic analysis, but it cannot eliminate scarcity or guarantee that a forecast will occur.
2. A statistic should be interpreted with its context because:
   A. numbers never have units B. the same numerical value can have different meanings depending on population, period and unit C. statistics are always qualitative D. data cannot be compared
   Answer: B.
   Explanation: A value such as 10 has little meaning without knowing what is measured, for whom, when and in what unit.

HOTS

Explain why a rise in average income may occur even when some households experience falling income. Use the idea of averages and distribution.