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Usually applied to accounting, so I will answer based on accounting. If a company has 3000 accounts numbered from 1 to 3000. Lets say you are to look at 100 files. 3000/100 = 30, random sampling is not choosing every 30th account. That does not give an equal chance of selecting each file. File 101 would never be selected. This is a biased sampling. You must use some kind of random number generator to select the 100 files to look at so that every file has an equal probability of being reviewed.

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In random sampling, each item or element of the population has an equal chance of being chosen at each draw. A sample is random if the method for obtaining the sample meets the criterion of randomness (each element having an equal chance at each draw). The actual composition of the sample itself does not determine whether or not it was a random sample

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Q: What is random sampling?
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