This course introduces the nature, types, sources, and collection methods of statistical data, alongside techniques for managing measurement errors and approximations. It covers effective data organization and presentation using frequency and cumulative distributions, tables, charts, and graphs. Students will learn to summarize datasets quantitatively through measures of location, partition, dispersion, skewness, and kurtosis. Finally, the course explores comparative analytical tools, including rates, ratios, and index numbers, for practical decision-making.
- Teacher: Olayiwola Adetutu
