Why dont we just say: Choose randomly then? With sampling on this scale, eventhe small steps can be important to what we learn from the data. Chances of sampling errors are high. Percy Herbert, Blog Post 4: Sampling Strategies. Because random sampling takes a few from a large population, the ease of forming a sample group out of the larger frame is incredibly easy. Since every member is given an equal chance at participation through random sampling, a population size that is too large can be just as problematic as a population size that is too small. During the execution phase, the auditor collects the data from the selected sample, analyzes it, and draws conclusions based on the results. Some authors consider it synonymous with multistage sampling. For example, an auditor elects to use block sampling to examine customer invoices, and intends to pick 50 invoices. Disadvantages of Sampling Method. Though it is nonstatistical in nature, the intent is to approximate a random selection by picking items without any conscious bias, which the auditor intends to be representative of the population. var links=w.document.getElementsByTagName("link");for(var i=0;i

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