The study was aimed at developing, in the spreadsheet environment, an application for the assessment of product batch compliance with values provided in product’s specification, by applying parametric tests method. The investigation was carried out on batches of selected products consisting of 300 pieces of packed product. Dixon’s Q test was applied for verification of the data obtained aiming at elimination of data burdened with gross error. Significance t test was applied for verification of statistical hypotheses where the null hypothesis H₀ : x_śr>m was verified against the alternative hypothesis H₁ : x_śr≤m. In the tests applied, the inference is based on confidence interval and depends on the sample size. The sample size influences the size of confidence interval and, as a consequence, the precision and reliability of inference. The software developed allows analysis aiming at determining at what minimum sample size further testing aimed at determining compliance of the product with a standard can be abandoned. Determination of a specific limit of deviations from the value declared by the producer in product’s specification is particularly important for enterprises that have not yet included the allowed limit at which the product is still considered compliant with the standard in their enterprise standards. The application developed also allows the assessment of financial losses incurred by the enterprise as a consequence of inappropriate control of product quantity compliance with the declared value. The analysis carried out may serve as an additional component in management allowing simple calculation of the losses incurred as a consequence of incorrect mass or volume of product per unit.