Number of Samples Clause Samples

Number of Samples a. Submit two samples, or two sets of samples showing range of variation, of each required item. One approved sample or set of samples will be retained by approving authority and one will be returned to contractor. b. Submit one sample panel. Include components listed in technical section or as directed. c. Submit one sample installation, where directed. d. Submit one sample of non-solid materials.

Number of Samples. Submit three full set(s) of available choices where color, pattern, texture, or similar characteristics are required to be selected from manufacturer's product line. Engineer will return submittal with options selected.

Number of Samples. Four samples from the smallest-developed-area series and four samples frcm the largest-developed-area series; selected in accordance with the provisions of annex 1 3 , shall be tested.

Number of Samples. Representative water quality samples shall be taken a minimum of three times per day during any in-water work.

Number of Samples. The total number of samples required to meet a desired Sample Error. The Regional standard is 4 percent or less for each sample population at a t = 2 level of confidence. In the following equation “E” represents the desired sample error, or the Regional standard of 4 percent or less. Do not use the calculated sale-to-date sample error resulting from the equation above. It is possible to have a greater or lesser desired sample error than the Regional standard of 4 percent. If a sample error other than 4 percent is desired, the sample error will be included information on the R6-FS-2400-21 Sample Scale Information Form. Round final answer up to the next higher whole number. n = NE² + t²(CV)² s Sample Frequency: Sampling intensity required to meet the desired Sample Error. Round down to the next lower whole number. Report 3 provides a continuing statistical review of each sample group for the life of the sale. Two key elements that need to be monitored on a monthly basis is the coefficient of variation (CV) and the sample error (E). At the beginning of the sale a liberal but experienced estimate of the anticipated CV is used in determining number of samples required. This estimate may be determined from similar sales or from the first 20-30 loads hauled from the sale. As loads are scaled the CV will fluctuate up or down from the estimate. The report will show that when the CV goes up, the sample error increases and the sample frequency intensifies. This is normal, but by the midpoint of the sale the sample error should be dropping to the desired level. The Regional standard is 4 percent or less for each sample population at a t = 2 level of confidence. Before changing the sample frequency for a sample group it should be noted that the sample error was based on the total population of the sample group and will vary during removal. If the CV continues to increase, the integrity of the loads have changed for some reason and a recalculation of samples required may be needed. When reviewing the statistical summary, thought needs to be given to the total population estimate. Are the sale unit volumes over or under-running? If the population is under-running then it is likely that the sample frequency will need to be recalculated to meet the desired sample error. If the sample error remains high and is not coming down, and if the sample frequency is showing that the sample rate needs to be intensified, and the total population is more than half removed, then conside...

Number of Samples belonging to each spawning component from the ones captured in each location, with assignment scores of 70% (pannel a) and 90% (pannel b); Norway (NW), Bay of Biscay (BB), Portugal (PO), Strait of Gibraltar (GI), Morocco (MO), Canarias (MC), Mauritania (MS), Central Atlantic (east of 45ºW, CAE), Central Atlantic (west of 45ºW, CAE), Newfoundland (NL), Gulf of Saint ▇▇▇▇▇▇▇▇ (GSL), Nova Scotia (NS).

Number of Samples. Three (3) samples of each Licensed Product upon completion of first production, prior to sale or publication; and

Number of Samples. We can currently print up to 5000 spots per array. Ideally, each sample is printed in 5 serial dilutions, and each dilution in at least 3 technical replicates per array. The serial dilutions allow us to estimate the antibody response curve and to confirm that we cover the linear part of this curve. The technical replicates, which are dispersed on the array, allow us to detect potential spatial bias. This implies that can we can print 5000/(5*3)=333 samples in optimal conditions. If large numbers of samples need to be analyzed, we can print only four serial dilutions and 1 single replicate, but data will be less robust. Thus, theoretically, up to 1250 samples can be analyzed on the same array. If you have less than 120 samples, we can create two arrays per slide, incubated with two different antibodies. Data are then obtained faster and at a lower price. We consider that below 25 samples, RPPA is not of interest. Other methodologies (antibody arrays, Western Blot, low throughput Dot Blot) are then more appropriate.

Number of Samples. 3.2.1. For each group of toughened-glass windscreens, four samples having approximately the smallest developed area and four samples having approximately the largest developed area, all eight samples being of the samo types as those selected for the fragmentation tests (see paragraph 2 .2 . above), shall be subjected to testing. 3 .2 .2 . Alternatively, at the discretion of the laboratory conducting the ▇▇▇▇▇, for each category of windscreen thickness, six test pieces of the dimension (l.liXI mm X 500 mm) + 5 mm shall be subjected to testing.