Duration: 3 hours per week - 13 weeks [ECTS: 4]

Course outline

1. BASIC IDEAS OF SAMPLING: Statistical unit, Population, Variable, Statistical parameters, Census versus sampling, Advantages and disadvantages of sample surveys, Sampling unit, Sampling frame, Random versus non-random sampling, Sampling and non-sampling errors, Causes of non-sampling errors

2. SIMPLE RANDOM SAMPLING: Definitions and notation, Selection of a simple random sample, Method of random numbers, Estimating the population mean – the population total – the population proportion, Sample size determination, Estimating a Mean – Total – or Proportion of a subpopulation, Estimating a Ratio

3. SYSTEMATIC SAMPLING AND UNEQUAL PROBABILITY SAMPLING: Selection of a systematic sample, Conditions of applying systematic sampling, sample selection with probability proportional to size, Sampling with replacement – The Hansen-Hurwitz estimator

4. STRATIFIED RANDOM SAMPLING: Description and notation, Reasons of using stratification, Allocation in stratified random sampling – proportional allocation – Neyman allocation – optimum allocation, Estimating the stratified population mean – the stratified population total – the stratified population proportion, Sample size determination, Estimating a stratified Ratio

5. CLUSTER SAMPLING: Examples and reasons for cluster sampling, Estimating in cluster samplin g the population mean – the population total – the population proportion, Sample size determination, Cluster sampling with stratification

6. TWO-STAGE SAMPLING: Description-examples-notation, Finding mean and variances in two-stage sampling, Variances of the estimated mean and the estimated population total, estimation of proportions, sample size determination, Stratified two-stage sampling

7. NON-RESPONSE: Types of non-response, Replacement of non-respondents, Methods of non-response adjustments, population-level and sample-level weighting adjustment, imputation adjustment