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Standard error reactions

Alternatively, the experimental error can be given a particular value for each reaction of the series, or for each temperature, based on statistical evaluation of the respective kinetic experiment. The rate constants are then taken with different weights in further calculations (205,206). Although this procedure seems to be more exact and more profoundly based, it cannot be quite generally recommended. It should first be statistically proven by the F test (204) that the standard errors in fact differ because of the small number of measurements, it can seldom be done on a significant level. In addition, all reactions of the series are a priori of the same importance, and it is always a... [Pg.431]

As to the computation of reaction enthalpies and entropies, AH and AS , the same arguments apply if they have been obtained from the temperature dependence of the equilibrium constant. A different situation arises vdien AH is determined directly from calorimetry, say with a constant relative error 6. The standard entropy AS then has the standard error... [Pg.433]

This example shows that the method discussed can deal with the difficulties frequently met in real situations. One of the products (D) was difficult to measure and another one (F) not accurately analyzed. So the balance could not close and conventional methods of determining stoichiometry via balancing could fail. The standard error in determination of species (C) was in the range of 6-14 % of the measured value in the first period of the experiment . Despite these difficulties, two simple reactions were found with stoichiometry that can adequately represent the reactions. The final representation of the chemical system is not unique but the final stoichiometric coefficients are within 10 % of the original ones. This indicates that the proposed methodology can yield reasonable approximations. [Pg.537]

A typical polar (and non-radical) reaction contrasts with a typical radical (and not very polar) reaction in the ways listed in Table XIII. Each statement of Table XIII has known or easily foreseeable exceptions, and some of the statements may not be true even for a majority of radical or non-radical reactions. Perhaps Stefansson would call these propositions Standard Errors. 486 The Typical Radical Reaction is a useful concept whose status is something like that of the Literary Ostrich486 and other fauna of strictly metaphorical habitat but very well-known behavior. Real ostriches are useless for metaphorical purposes and no one expects them to behave like literary ostriches. [Pg.236]

M. V Kilday. Systematic Errors in an Isoperibol Solution Calorimeter Measured with Standard Reference Reactions. J. Res. Natl. Bur. Stand. 1980, 85, 449—465. [Pg.254]

In a paper that addresses both these topics, Gordon et al.11 explain how they followed a com mixture fermented by Fusarium moniliforme spores. They followed the concentrations of starch, lipids, and protein throughout the reaction. The amounts of Fusarium and even com were also measured. A multiple linear regression (MLR) method was satisfactory, with standard errors of prediction (SEP) for the constituents being 0.37% for starch, 4.57% for lipid, 4.62% for protein, 2.38% for Fusarium, and 0.16% for com. It may be inferred from the data that PLS or PCA (principal components analysis) may have given more accurate results. [Pg.387]

A paper by Kasprow et al.42 is important because it shows the realization that starting materials need to be analyzed on a routine basis just as with reaction products. Kasprow et al. discuss the correlation of fermentation yield with the yeast extract composition as seen by NIR. Using PLS for the correlations, models were constructed with a correlation of 0.996 and a standard error of 1.16 WSW. The authors used the models to predict yields, using different lots of yeast, and were quite satisfied with the results. [Pg.393]

The automatic apparatus consists of a viscosimeter and phototran-sistorized sensing devices mounted in a precision thermostat ( 0.005°C) connected to a cooled prethermostat ( 0.1°C). The base apparatus is commercially available (Schott Viscotimer, Jenaer Glaswerk, Schott Gen., Mainz), but the viscosimeter control functions and the time measurements are performed by using an electronic computer-controlled interface. This modification enables one to follow slow reactions and to reduce standard errors on the outflow times to 2 msec. The final results are evaluated numerically by an on-line computer-plotter system. [Pg.121]

The values of k for each run are estimated from the preliminary data. For multi-step reactions, the method of Box and Lucas(2) may be used. Alternatively, we can make use of the fact that the model, its parameters, and the experimental error are "known". Then we may calculate the standard errors of In k, Sjn for any experimental design we propose. [Pg.238]

With FITEQL numeric procedure Hayes et al. fitted edl parameters to the three models of electric double layer DLM (diffuse layer model), CCM (constant capacity model) and TLM (three layer model) for the following oxides a-FeOOH, AI2O3 and TiC>2 in NaNC>3 solutions [51]. The fitting was performed for surface reaction constants, edl capacity and the densities of the hydroxyl groups on the surface of the oxides. The quality of the fitting was evaluated by the minimization of the function of the sum of the square deviations of the calculated value from the standard error of measured charge. The lower value of the function the better was the fit... [Pg.175]

Error in Calculated Rate Constants. The slope of the straight-line section in the reaction rate curves should be equal to the calculated values of k2. To obtain an idea of the probable error in the calculated values for k2 (Table I), they can be compared with the slopes of these lines. The slopes (and standard errors) were determined by least-squares regression analysis. Table II lists the values for k> from Table I, the least-squares slope, and the standard error of the least-squares value. In most cases, k2 agrees with the least-squares slope to within the standard error (4% or less). [Pg.717]

Since the use of equilibrium (Freundlich) type with n > 1 is uncommon, we also attempted the kinetic reversible approach given by equation 12.2 to describe the effluent results from the Bs-I column. The use of equation 12.2 alone represents a fully reversible S04 sorption of the n-th order reaction where kj to k2 are the associated rates coefficients (Ir1). Again, a linear form of the kinetic equation is derived if m = 1. As shown in Figure 12.7, we obtained a good fit of the Bs-I effluent data for the linear kinetic curve with r2 = 0.967. The values of the reaction coefficients kj to k2, which provided the best fit of the effluent data, were 3.42 and 1.43 h with standard errors of 0.328 and 0.339 h 1, respectively (see Table 12.3). Efforts to achieve improved predictions using nonlinear (m different from 1) kinetics was not successful (figures not shown). We also attempted to incorporate irreversible (or slowly reversible) reaction as a sink term (see equation 12.5) concurrently with first-order kinetics. A value of kIIT = 0.0456 h 1 was our best estimate, which did not yield improved predictions of the effluent results as shown in Figure 12.7. [Pg.329]

Give the standard errors associated with the values of area and width that are determined from the line profile. Is the scatter in the data K and tt IT, tt IFb) as a function of (H ) or Tconsistent with those error estimates Discuss other sources of error beyond line-fit uncertainties. Comment on the agreement between (area)B/(area)A and Ah/Ag as values of Kat 25°C. If the temperature dependence of the area ratio had been measured for sample 6 rather than sample 1, would the value for the acid-catalyzed reaction be the same as A7/° for the nncatalyzed reaction What difficulty would complicate matters if one tried to determine activation energies from the temperature dependence of the line widths of acid solntions (in addition to the problem of assessing the values of 1/7Ja and 1/7 b) ... [Pg.270]

No apparent difference was found between warp and weft in Ea values for LO and DO. This finding indicated that the temperature sensitivities for these reactions may not be affected by the presence of light. Because Ea values (LO, DO) lie within percent error, 12.202 (Ea t SE) (t SE = standard error of the estimate) at the 952 confidence level, they were considered as one. Ea — 23,486 1312 cal/mol. [Pg.78]

PC, D-phenylglycine ABA, D-aminobutyric acid PA, d-phenylalanine NVA, D-norvaline NLEU, o-norleucine MET, D-methionine LEU, D-leucine. Reactions were performed in triplicate and error bars represent the standard error from the mean. [Pg.190]

Reactions are assumed to have been studied at n equally spaced temperatures (interval JT) with (7=O 002. Unequal temperature intervals do not greatly affect the standard errors, and different values for er merely require multiplication of the figures by ajO-002... [Pg.132]

The simpler calculation of the activation parameters via equations (18) and (20) from rates determined at two temi>eratures separated by a constant interval (see Section IIB3) yields standard errors for AG and d(JC )dT which depend on the interval chosen (see Figs. 4 and 5). These errors attain minima when the interval represents approximately 40% and 25%, respectively, of the experimental range and then hardly differ from the estimates obtained from all possible combinations of pairs of rates (Section IIB3) or via equation (17). Again, the behaviour now illustrated is quite general and does not depend on the range or the number of temperatmes at which the reaction has been studied. [Pg.136]

Figure 7. Cross reactivity of the methoprene antiserum with methoprene derivatives and juvenile hormones. The JHs showed virtually no cross reaction with the antiserum. Due to the complexity of the figure, standard error bars were omitted (n=4 for each point). Figure 7. Cross reactivity of the methoprene antiserum with methoprene derivatives and juvenile hormones. The JHs showed virtually no cross reaction with the antiserum. Due to the complexity of the figure, standard error bars were omitted (n=4 for each point).
Standard deviation about regression, The standard deviation based on deviations from a least-square straight line. Standard electrode potential, The potential (relative to the standard hydrogen electrode) of a half reaction written as a reduction when the activities of all reactants and products are unity. Standard error of the mean, tr , or The standard deviation divided by the square root of the number of measurements in the set. [Pg.1118]

Figure 12. The ratio Ci /C2 computed for a very rare event in contrast to the system in Fig. 10. For the rare event it is difficult to do the exact calculations. Therefore, accuracy check was done for not so rare events. Error bars are calculated by adding the standard errors for each factor in the numerator and denominator, each of which is given from the standard error of the mean from 20 uncorrelated runs. Here the potential is y = 10 , y = 10 (for Hi), and y = 1.2 x 10 (for H2). kT is 0.1. Since y is 10 and kT is 0.1, it takes only t 0.01 to get across the channel. But after time Z = 1, the probability of a reaction is only 0.0001. Figure 12. The ratio Ci /C2 computed for a very rare event in contrast to the system in Fig. 10. For the rare event it is difficult to do the exact calculations. Therefore, accuracy check was done for not so rare events. Error bars are calculated by adding the standard errors for each factor in the numerator and denominator, each of which is given from the standard error of the mean from 20 uncorrelated runs. Here the potential is y = 10 , y = 10 (for Hi), and y = 1.2 x 10 (for H2). kT is 0.1. Since y is 10 and kT is 0.1, it takes only t 0.01 to get across the channel. But after time Z = 1, the probability of a reaction is only 0.0001.
Kilday MV. Systematic errors in an isoperibol solution calorimeter measure with standard reference reactions. J Res Natl Bur Stand 1980 85 449-465. [Pg.126]


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See also in sourсe #XX -- [ Pg.408 ]




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