Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Samples, number

Sample number generation Bar-code label generation Sample log-in... [Pg.516]

Values given are typical of iron powder samples. Numbers in parentheses represent mesh sizes. [Pg.180]

Sample Number of analysis Proposed method (Pg/g) Spectrophotometryt (Pg/g)... [Pg.154]

Type of sample Number of samples Urban Rural ... [Pg.50]

Sample numbers and history, e.g. date, time of collection. [Pg.388]

Experiment Sample number Solution pH Eh (V) State of metal Gas... [Pg.69]

Reduced assumptions. By using an appropriate factor space, we may be able to eliminate some assumptions about our data that aren t always completely true. Examples of assumptions that can hurt us are linearity of the data, independence of samples, number of components. [Pg.81]

Sample Number Molyb- denum Nickel Cobalt Iron Chro- mium Total >... [Pg.181]

Sample Number Molybdenum Nickel 1 Cobalt Iron Chromium ... [Pg.183]

Latent heat High, depth Subcooling parameter Thermal conductivity Surface roughness Channel length Mass flow rate Power, number of sample Number of channels Pressure, precession limit Heat rate Heat flux... [Pg.99]

The second perspective might be that of the leader of some large project where chemical analyses are just a side issue, where sample numbers are large and chemical niceties might be completely swamped by, say, biological variability here a statistician will be necessary to make sense of the results in the context of a very complex model. Chemistry is a bit harder to relate to than many other industries in that the measured quantities are often abstract, invisible, and only indirectly linked to what one wants to control. [Pg.2]

Thus, one can be far from the ideal world often assumed by statisticians tidy models, theoretical distribution functions, and independent, essentially uncorrupted measured values with just a bit of measurement noise superimposed. Furthermore, because of the costs associated with obtaining and analyzing samples, small sample numbers are the rule. On the other hand, linear ranges upwards of 1 100 and relative standard deviations of usually 2% and less compensate for the lack of data points. [Pg.2]

Research use of analytical results in the framework of a nonanalytical setting, such as a governmental investigation into the spread of pollution here, a strict protocol might exist for the collection of samples (number, locations, time, etc.) and the interpretation of results, as provided by various consultants (biologists, regulators, lawyers, statisticians, etc.) the analytical laboratory would only play the role of a black box that transforms chemistry into numbers in the perspective of the laboratory worker, calibration, validation, quality control, and interpolation are the foremost problems. Once the reliability and plausibility of the numbers is established, the statisticians take over. [Pg.7]

The output of the simulation will be displayed as in Fig. 1.20 or by program CONVERGE.exe the common abscissa is the sample number i. The ordinates are in signal units the top window (panel A) shows the individual measurements as points the bottom window (panel C) shows how the derived standard deviation converges toward its expected value, E Sx) = 1.00 in the middle window (panel B) the mean and the CL(Xmean) are shown to rapidly, although erratically, converge toward the expected value 0 0. Equa-... [Pg.42]

Many laboratories find it practical to keep separate records for these, which means that the sample numbering system for raw materials must be different from that used for finished products. Other laboratories lump everything together for the purpose of record keeping but have separate storage areas for the two types of samples. [Pg.124]

Those fixed-angle measurements reported to date have all used either a heated effusive inlet, or heated gas cell for sample admission [55, 56, 61, 62, 65]. Probably the higher sample number densities these sources generate, compared to a supersonic beam source, provides some compensation for the reduced collection efficiency in the fixed-angle measurement. [Pg.308]

Sample number Field number 206pb/204pb 207pb/204pb 208pb/204pb... [Pg.56]

Sample number Field number 206p(,/204pb 207pb/204pb 20 Pb/2Mpb... [Pg.57]

Sample Number of labs Recovery (%) Repeatability (%) Reproducibility (%)... [Pg.160]

Trial site, name of crop, name of agrochemical tested, and sample number are recorded on the outside of the cardboard boxes. [Pg.47]

Agrochemical residue variability and sample number requirements... [Pg.852]

Field forms can be used to document the fortification of the matrices during the field-fortifying phase of the study. The matrix fortified, the sample number, the identification and the amount of fortification solution used, the time fortified, and the time that the matrices were removed from the field and stored should be... [Pg.1023]

Field forms may be used to document the movement of the field samples from the field to the analytical laboratory. Chain of custody forms may document the sample number, when it was sampled, when it was shipped, where it was being shipped from, and where it was going. The chain of custody form may also contain information on when the sample was received, by whom it was received, and the condition of the samples upon arrival at the laboratory. The chain of custody form also documents that the sample itself was taken. [Pg.1023]


See other pages where Samples, number is mentioned: [Pg.16]    [Pg.426]    [Pg.204]    [Pg.218]    [Pg.15]    [Pg.17]    [Pg.201]    [Pg.203]    [Pg.227]    [Pg.241]    [Pg.91]    [Pg.115]    [Pg.128]    [Pg.45]    [Pg.47]    [Pg.212]    [Pg.737]    [Pg.856]    [Pg.950]    [Pg.1018]    [Pg.140]    [Pg.43]    [Pg.160]    [Pg.341]   
See also in sourсe #XX -- [ Pg.34 , Pg.37 ]

See also in sourсe #XX -- [ Pg.818 ]

See also in sourсe #XX -- [ Pg.13 ]

See also in sourсe #XX -- [ Pg.184 ]




SEARCH



Number of Individual Samples Required

Number of Primary Samples

Number of sample

Number of samples in the calibration set

Number of samples required

Number of samples studied

Odd-number sampling

Random number sampling method

Sample calculations of ionic transference numbers

Samples minimum number

Sampling acceptance number

Sampling number of samples

Sampling number required

Sampling rejection number

Statistical significance, number samples needed

Well samples number

© 2024 chempedia.info