FORESTRY
AGRICULTURAL STATISTICS AND ECONOMICS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Random numbers determine which elements are included in the sample.
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Each element in the population has a known and equal probability of selection.
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A sampling frame must be compiled in which each element has a unique identification number.
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Each possible sample of a given size has a known and equal probability of being the sample actually selected.
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All of the above.
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Detailed explanation-1: -Each item within a population has an equal chance of being selected. There is less of a chance of sampling bias as every item is randomly selected. This sampling method is easy and convenient for data sets already listed or digitally stored.
Detailed explanation-2: -In fact, generalizability is perhaps the key feature that distinguishes probability samples from nonprobability samples. Generalizability refers to the idea that a study’s results will tell us something about a group larger than the sample from which the findings were generated.
Detailed explanation-3: -Simple random sampling requires that each element of the population be separately identified and selected, while systematic sampling relies on a sampling interval rule to select all individuals.