One-Sample Chi-Squared Test on Variance Sample Clauses

One-Sample Chi-Squared Test on Variance. The test whether the standard deviation of Xi, , is lower or equal to the standard uncertainty of measurement promised in the bid, 0, against the alternative  > 0 (measurement error is worse than promised) is realized as One-Sample Chi-Squared Test on Variance. We reject the hypothesis  ≤ 0 if 2 0 −1 22 (1−∝) > , where − 1 = √ 1 − 1 ∑( =1 − ̅)2 −1 and Xx is the i-th testing measurement, ̅ is arithmetic mean of n measurements, 2 () denotes p-quantile of Chi-square distribution with n – 1 degrees of freedom. For this purpose, we choose  = 0.05. The quantiles for sample sizes n = 20, 30, 40, 50 are shown in Table 1. Table 1: Quantiles of Chi-square distribution. 2 (0.95) 19 2 (0.95) 29 2 (0.95) 39 2 (0.95) 49 30.14353 42.55697 54.57223 66.33865 5. Description of the Contractor’s offered solution, including System operation, maintenance, regular components replacements, software and connections to interfaces etc. 36 Annex 2 Schedule of Deliveries and Payments Id. Partial Performance Delivery date Payment % of the Price under Article 8.1 Payment date D1 Detailed engineering design of the System Upon Contract signature 30 % Upon acceptance D2 Manufacturing and delivery of the System In 18 months after Contract signature 60 % Upon acceptance D3 System installation, alignment and validation tests In 2 months after System delivery 10 % Upon acceptance Annex 3