Transcription of Chapter 4 Stratified Sampling - IIT Kanpur
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Chapter 4 Stratified Sampling - IIT Kanpur
Sampling Theory| Chapter 4 | Stratified Sampling | Shalabh, IIT Kanpur Page 1 Chapter 4 Stratified Sampling An important objective in any estimation problem is to obtain an estimator of a population parameter which can take care of the salient features of the population. If the population is homogeneous with respect to the characteristic under study, then the method of simple random Sampling will yield a homogeneous sample and in turn, the sample mean will serve as a good estimator of population mean. Thus, if the population is homogeneous with respect to the characteristic under study, then the sample drawn through simple random Sampling is expected to provide a representative sample.
sampling scheme which can reduce the heterogeneity in the population. If the population is ... 6. In the case of skewed population, use of stratification is of importance since larger weight may have to be given for the few extremely large units, which in turn reduces the sampling variability. 7. When estimates are required not only for the ...
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