Introduction to Social and Economic Statistics

At the end of this course, students should be able to: 1. Be able to understand the Statistics systems and explain the Nature, types, sources, methods of collection and problem of official statistics; 2. Be able to compute index numbers using the different types; 3. Be able to give an idea about descriptive statistics and Basic principles of probability; 4. Be able to differentiate discrete from continuous random variables considering binomial, normal, t, chi-square, Poisson, other univariate distributions; 5. Be able to explain joint distributions and sampling distributions; 6. Be able to demonstrate central limit theorem; 7. Be able to explain the properties of an estimators and linear combinations of random variables; 8. Be able to explain the basic concept of testing of hypotheses; 9. Be able to understand the socio-economic indicators: nature, types, uses and computation; and 10. Be able explain the nature, sources, contents and problems of official statistics in selected sectors.

Statistics systems. Nature, types, sources, methods of collection and problem of official statistics. Index numbers, theory, construction and problems. Descriptive statistics. Basic principles of probability; discrete and continuous random variables (binomial, normal, t, chi-square, Poisson, other univariate distributions); joint distributions; sampling distributions; central limit theorem; properties of estimators; linear combinations of random variables; testing and estimation; maximum likelihood principle, basics of hypotheses testing. Socio-economic indicators: nature, types, uses and computation. Nature, sources, contents and problems of official statistics in selected sectors.