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Sample checks are based on the following principles: The control unit must carefully select the technique for collecting data and the sample; Prior to checking samples the following must be considered: Amount and relative size of the controlled items, Significance of items and the inherent risk of errors, Relevance and reliability of documents obtained in alternative verifications and processes, and the relative cost and time demand of individual methods; The controlled sample must be representative; Sampling may be statistical or non-statistical, whereby: Statistical selection of samples apply random selection methods and the probability theory, Non-statistical selection is recommended by using random selection methods to increase the probability that the sample will be representative for the given class of data, In non-statistical sampling the adequacy of the basis for making conclusions on the economic management must be carefully weighed; Sampling is executed in four stages: Selection of items for testing, All decisions in the course of sampling must be documented in accordance with detailed methodical procedures; Checks are, as a matter of principle, accomplished by combining various type and size transactions and projects in order to ensure Sample checks must take in account the risk factors identified by controlling bodies of the SR or EU; Sample checks must take in account the concentration of transactions at specific Intermediate Bodies or final beneficiaries, so that at least one check would be carried out at each of the main Intermediate Bodies or final beneficiaries before winding-up of the assistance; Checks are organised and coordinated in a way providing for their balanced distribution over the entire duration of assistance.

Pages: 276

Publisher: IT Governance Publishing (March 15, 2012)

ISBN: 1849282005

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