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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Simple Random Sample
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Stratified Random Sample
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Voluntary Response
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Systematic Random Sampling
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Detailed explanation-1: -The Formula of Random Sampling (N-n/N-(n-1)). 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.
Detailed explanation-2: -The sampling method is the one in which only some of the representative items of the population are selected and the data are collected from these. Instead of collecting information for and from all the units of population, we select a sample, i.e., only a few items of the population.
Detailed explanation-3: -An example of a simple random sample would be the names of 25 employees being chosen out of a hat from a company of 250 employees. In this case, the population is all 250 employees, and the sample is random because each employee has an equal chance of being chosen.