METHODS OF DATA COLLECTION
CONCEPT OF SAMPLING AND OTHER CONCEPTS RELATED TO SAMPLING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Probability
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Non Probability
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Either A or B
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None of the above
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Detailed explanation-1: -Stratified Sampling A stratified sample is obtained by separating the population into non-overlapping groups called strata and then obtaining a proportional simple random sample from each group. The individuals within each group should be similar in some way.
Detailed explanation-2: -Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample. The clusters should ideally each be mini-representations of the population as a whole.
Detailed explanation-3: -The Formula of Random Sampling Here P is a probability, n is the sample size, and N represents the population. Now if one cancels 1-(N-n/n), it will provide P = n/N. Moreover, the chance of a sample getting selected more than once is needed: P = 1-(1-(1/N)) n.