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Chapter
Stratified Sampling
DOI link for Stratified Sampling
Stratified Sampling book
Stratified Sampling
DOI link for Stratified Sampling
Stratified Sampling book
ABSTRACT
The survey sampler may know additional information about the population before sampling, such as the gender and major of every student at a university, the percentage of persons in each county who are age 65 or older, or the dollar amount of every loan made by a bank. Stratified sampling uses this additional information about the population to improve the efficiency of the survey design. This chapter shows how to use R functions to allocate and draw stratified samples from a population with proportional, Neyman, optimal, or custom allocation. In addition, it provides code and output for estimating population means, totals, and percentages from the stratified random sampling examples in Chapter 3 of Sampling: Design and Analysis, Third Edition.