Consider the example in the section "Stratified Sampling". The study population is a junior high school with a total of 4,000 students in grades 7, 8, and 9. Researchers want to know how much these ...
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Random Sampling: Key to Reducing Bias and Increasing AccuracyFor example, you might decide to randomly select ten items every hour from a production line. Stratified Random Sampling – If you suspect there are unique differences between items in your ...
Suppose that the sample of students described in the previous section was actually selected using stratified random sampling. In stratified sampling, the study population is divided into ...
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