What is remainder approach in simple random sampling?
Understand the Problem
The question is asking for an explanation of the remainder approach within the context of simple random sampling, which is a statistical method used to select a subset of individuals from a larger population to estimate characteristics of the whole group.
Answer
The remainder approach involves selecting a random number and using its remainder when divided by the population size to choose a sample unit.
In the remainder approach for simple random sampling, a population size N is considered as a K-digit number. The highest K-digit multiple of N is determined, then a random number r (between 1 and this multiple) is selected. The remainder when r is divided by N is used to select the sample unit.
Answer for screen readers
In the remainder approach for simple random sampling, a population size N is considered as a K-digit number. The highest K-digit multiple of N is determined, then a random number r (between 1 and this multiple) is selected. The remainder when r is divided by N is used to select the sample unit.
More Information
The remainder approach is a method used to enhance random sampling, ensuring more uniform distribution of samples across the population.
Tips
A common mistake is not properly calculating the highest K-digit multiple of N or not selecting r correctly.
Sources
- Unit-12.pdf - eGyankosh - egyankosh.ac.in
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