Syllabus
Practical
- Random sampling ~ use of random number tables, concepts of unbiasedness, variance, ;
- Simple random sampling, determination of sample size, inverse sampling, stratified sampling, cluster sampling and systematic sampling;
- Estimation using ratio and regression estimators;
- Estimation using multistage design, double
Unit I
Theory
Concept of sampling, sample survey vs complete enumeration, planning of sample survey, sampling from a finite population.
Unit II
Simple random sampling with and without replacement, sampling for proportion, determination of sample size, inverse sampling, Stratified sampling.
Unit III
Cluster sampling, Multi-stage sampling, systematic sampling; Introduction to PPS sampling,
Unit IV
Use of auxiliary information at estimation, Ratio product and regression estimators. Double Sampling, sampling and non-sampling errors.
Aim of the course
The students would be exposed to elementary sampling techniques. It would help them in understanding the concepts involved in planning and designing their surveys, presentation of survey data analysis of survey data and presentation of results. This course would be especially important to the students of social sciences.