Course Contents

Systematic sampling. Estimation of mean, total and variance. Systematic sampling under stratification. Comparison of systematic, stratified and random sampling for population with linear trend. Cluster sampling. Estimation of mean, total and variance for single-stage cluster sampling. Cost function. Sampling with probability proportional to size (PPS) with replacement. Two-stage sampling Estimation of mean, total and variance. Both stages with equal probability. First stage PPS (with replacement) and second stage with equal probability. Both stages with probability proportional to size and with replacement. Basic concept of double sampling. Sampling and non-sampling errors and their sources.

Course Synopsis

Concept building, Ability to apply systematic, cluster and two-phase sampling designs in different situations to solve real world problems. Students will be able to understand how different types of estimators in two phase sampling works and can check their precision.

Course Learning Outcomes

At the end of the course, students should be able: • To apply the Systematic Sampling (SS) and Cluster Sampling (CS) methods. • To Express sample selection process on SS and CS methods • To Estimates the parameters using SS method and to applies SS method to strata • To Estimates the parameters for equal and unequal cluster sizes • To know how to use two phase sampling to collect information and to apply the Ratio and Regression Estimation methods.