This paper is aimed at teaching the students various sampling techniques.
Concept of population and sample, need for sampling, census and sample surveys. Advantages of sample survey over complete enumeration. Principal steps in a sample survey. Sampling and Non-sampling errors.
Principles of Sample survey, Probability and No probability Sampling, Concept of Sampling Design Method of drawing a random sample from a finite population, accuracy and precision of an estimator. Estimation of sample size for a specified precision
Simple Random Sampling- Simple random Sampling with and without replacement. Probability of selecting any specified unit in the sample, variance of the estimate of population mean and population total. Estimation of the standard error of the estimate.
Stratified random sampling: Its advantages. Estimation of the population mean and its variance, optimum and proportional allocation and their comparisons with Simple Random Sampling without Replacement.
Systematic Sampling and its advantages and disadvantages, variance of the estimated mean, comparison of systematic sampling with Simple and Stratified Random Sampling. for population with linear trend.
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