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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It can be but it is not simple random sampling.
Simple!
Random Sampling
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
stratified sampling, in which the population is divided into classes, and random samples are taken from each class;cluster sampling, in which a unit of the sample is a group such as a household; andsystematic sampling, which refers to samples chosen by any system other than random selection.