Source document. This page reproduces the syllabus this course was written to, as published — its semesters, credits and paper numbers are that document’s, not this site’s. The course itself is studied on its own, in any order.
Course Information
Title
Sampling Techniques
Theory Credits
3 (3 hrs/week)
Practical Credits
1 (2 hrs/week)
Course Outcomes
Review population concepts, methods of data collection and types of errors.
Get introduced to various statistical sampling schemes — simple, stratified, systematic.
Understand how to conduct sample surveys and select appropriate sampling techniques.
Compare various sampling techniques on precision and efficiency.
Use appropriate sampling experimental schemes to analyse data.
Theory — Five Units
Unit 1: Sample Survey Concepts
Brief review of parameter and statistic, sampling distribution. Principal steps and principles in a sample survey, sampling and non-sampling errors, advantages of sampling over census, limitations, types of sampling — concept of subjective, probability and mixed sampling.
Unit 2: Simple Random Sampling (with and without replacement)
Notations and terminology, various probabilities of selection. Random numbers tables and their uses. Methods of selecting a simple random sample — lottery method, method based on random numbers. Estimates of population total, mean and their variances and standard errors; determination of sample size; simple random sampling of attributes.
Stratified random sampling, advantages and disadvantages. Estimation of population mean and its variance. Stratified random sampling with proportional and optimum allocations. Comparison between proportional and optimum allocations with SRSWOR.
Systematic sampling — definition when \(N = nk\); merits and demerits; estimate of mean and its variance. Comparison of systematic sampling with stratified and SRSWOR. Comparison of variance of SRS, StRS and Sys for a linear trend. Concept of Cluster Sampling, Multistage Sampling and Quota Sampling.
National Statistical Organization — vision and mission; National Statistics Office (NSSO and CSO), roles and responsibilities, important activities, publications. National Statistical Commission — need, constitution, role, functions and important acts.