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Deviate, normalized

The limit of determination [or limit of quantitation (LOQ)] is defined in Directive 96/46/EC as the lowest concentration tested at which an acceptable mean recovery (normally 70-110%) and acceptable relative standard deviation (normally <20%) are obtained. The specific requirements for LOQ in crops, food, feed, soil, drinking and surface water, air, body fluids, and tissues are described in Section 4. Because the abbreviation LOD usually means limit of detection rather than limit of determination, the authors prefer not to use this abbreviation here in order to avoid confusion, and LOQ is used throughout. According to Directive 96/46/EC no data with regard to the limit of detection must be given. [Pg.24]

This result does not depend on the vector p and can be extended to any origin of the vector . The correlation matrix is therefore the covariance matrix of any standard-deviation normalized vector. <=... [Pg.209]

Adhesives Bond Strength (105 Pa) (Standard Deviation) Normal Repeated Boil ... [Pg.347]

Even though these techniques allow for the production of new potentially bioactive compounds, they are usually closely related to known substances, which basically implies an analogous mode of action, and the deviations normally alter quantitative... [Pg.1318]

There are a many situations in which a safety professional may need to use various descriptive statistics for data collected in the workplace. The following examples illustrate the use of descriptive statistics such as the mean, standard deviation, normal distribution, and probability. [Pg.37]

Protective/Risk Factor P/R PA Average Washington Score Deviation (%) Normalized Weight... [Pg.324]

The most important molecular constants are Vq, the energy of the vibrational levels above the rotationless ground state and the rotational constants By and B. The centrifugal distortion constants, D and d, H and h, are orders of magnitude smaller than B and account for the deviations from the rigid rotor energy levels. The constants Ware necessary to reproduce the measured spectrum since the Vi and Zvz states are in Fermi resonance. The constants take into account the Coriolis interaction between the Vi and Zv + v. For the latter state no transitions have been observed and its constants have been obtained from the perturbation induced on the levels of Vj. The RMS in Table 1 is the standard deviation normalized to a single rovibrational transition of the calculated and measured spectrum. This quantity should be very close to the precision of the wave-number measurement if the theoretical model used for the analysis is satisfactory. [Pg.795]

The first application of the Gaussian distribution is in medical decision making or diagnosis. We wish to determine whether a patient is at risk because of the high cholesterol content of his blood. We need several pieces of input information an expected or normal blood cholesterol, the standard deviation associated with the normal blood cholesterol count, and the blood cholesterol count of the patient. When we apply our analysis, we shall anive at a diagnosis, either yes or no, the patient is at risk or is not at risk. [Pg.17]

The Problem. Suppose that the total serum cholesterol level in normal adults has been established as 200mg/100mL (mg%) with a standard deviation of 25 mg%, that is, p = 200 and ct = 25. (Please distinguish between mg% and % probability.) A patient s serum is analyzed for cholesterol and found to contain 265 mg% total cholesterol. [Pg.17]

The least squares derivation for quadratics is the same as it was for linear equations except that one more term is canied through the derivation and, of course, there are three normal equations rather than two. Random deviations from a quadratic are ... [Pg.66]

For distillations conducted at atmospheric pressure, the barometric pressures are rarely exactly 760 mm. and deviations may be as high as 20 mm. To correct the observed boiling point to normal pressiu e (760 mm.), the following approximate expression may be used ... [Pg.2]

Repeat the boiling point determination with the following pure liquids (a) carbon tetrachloride, A.R. (77°) (6) ethylene dibromide (132°) or chlorobenzene (132°) (c) aniline, A.R. (184-6°) and (d) nitrobenzene, A.R. (211°). An air condenser should be used for (c) and (d). Correct the observed boiling points for any appreciable deviation from the normal pressure of 760 mm. Compare the observed boiling points with the values given in parentheses and construct a calibration curve for the thermometer. Compare the latter with the curve obtained from melting point determinations (Section 111,1). [Pg.231]

The breadth or spread of the curve indicates the precision of the measurements and is determined by and related to the standard deviation, a relationship that is expressed in the equation for the normal curve (which is continuous and infinite in extent) ... [Pg.194]

The standardized variable (the z statistic) requires only the probability level to be specified. It measures the deviation from the population mean in units of standard deviation. Y is 0.399 for the most probable value, /x. In the absence of any other information, the normal distribution is assumed to apply whenever repetitive measurements are made on a sample, or a similar measurement is made on different samples. [Pg.194]

Table 2.26a lists the height of an ordinate (Y) as a distance z from the mean, and Table 2.26b the area under the normal curve at a distance z from the mean, expressed as fractions of the total area, 1.000. Returning to Fig. 2.10, we note that 68.27% of the area of the normal distribution curve lies within 1 standard deviation of the center or mean value. Therefore, 31.73% lies outside those limits and 15.86% on each side. Ninety-five percent (actually 95.43%) of the area lies within 2 standard deviations, and 99.73% lies within 3 standard deviations of the mean. Often the last two areas are stated slightly different viz. 95% of the area lies within 1.96cr (approximately 2cr) and 99% lies within approximately 2.5cr. The mean falls at exactly the 50% point for symmetric normal distributions. [Pg.194]

In the next several sections, the theoretical distributions and tests of significance will be examined beginning with Student s distribution or t test. If the data contained only random (or chance) errors, the cumulative estimates x and 5- would gradually approach the limits p and cr. The distribution of results would be normally distributed with mean p and standard deviation cr. Were the true mean of the infinite population known, it would also have some symmetrical type of distribution centered around p. However, it would be expected that the dispersion or spread of this dispersion about the mean would depend on the sample size. [Pg.197]

The distribution curves may be regarded as histograms in which the class intervals (see p. 26) are indefinitely narrow and in which the size distribution follows the normal or log-normal law exactly. The distribution curves constructed from experimental data will deviate more or less widely from the ideal form, partly because the number of particles in the sample is necessarily severely limited, and partly because the postulated distribution... [Pg.29]

Vitha, M. F. Carr, P. W. A Laboratory Exercise in Statistical Analysis of Data, /. Chem. Educ. 1997, 74, 998-1000. Students determine the average weight of vitamin E pills using several different methods (one at a time, in sets of ten pills, and in sets of 100 pills). The data collected by the class are pooled together, plotted as histograms, and compared with results predicted by a normal distribution. The histograms and standard deviations for the pooled data also show the effect of sample size on the standard error of the mean. [Pg.98]

Weighted normal calibration curve for the data in Example 5.13. The lines through the data points show the standard deviation of the signal for the standards. These lines have been scaled by a factor of 50 so that they can be seen on the same scale as the calibration curve. [Pg.126]

Few populations, however, meet the conditions for a true binomial distribution. Real populations normally contain more than two types of particles, with the analyte present at several levels of concentration. Nevertheless, many well-mixed populations, in which the population s composition is homogeneous on the scale at which we sample, approximate binomial sampling statistics. Under these conditions the following relationship between the mass of a randomly collected grab sample, m, and the percent relative standard deviation for sampling, R, is often valid. ... [Pg.188]

The emission spectrum from a hollow cathode lamp includes, besides emission lines for the analyte, additional emission lines for impurities present in the metallic cathode and the filler gas. These additional lines serve as a potential source of stray radiation that may lead to an instrumental deviation from Beer s law. Normally the monochromator s slit width is set as wide as possible, improving the throughput of radiation, while being narrow enough to eliminate this source of stray radiation. [Pg.418]


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See also in sourсe #XX -- [ Pg.32 , Pg.33 , Pg.37 , Pg.48 , Pg.60 ]




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