We compute the value of the van t Hoff factor, then use this value to compute the boiling point elevation. [Pg.299]

The significance of the r-values can be determined by t-test, assuming that both variables are normally distributed and the observations are chosen randomly. The test compares the computed t-value with a tabulated t-value using the null hypothesis. In this study, a 95% level of confidence was chosen. If the computed t-value is greater than the tabulated t-value, the null hypothesis is rejected. This means that r is significant. If the computed t-value is less than the tabulated t-value, the null hypothesis is not rejected. In this case, r is [Pg.431]

By computation or by using tables of Bessel functions, values of CjA can be found for a range of irf2) /k /D t values. Let [Pg.212]

The role of the input data NM, NX, NY and NP is obvious from the text and the remark lines, but the array T(NM,NX) of independent variables deserves some explanation. Each line of the array should contain all information that enables us to compute the value of the dependent variables for a sample paint at the current values of the parameters. Therefore, the module transfers the appropriate row of T(NM,NX) into the vector X(NX) for further use in the user supplied subroutine. This subroutine starting at line 900 computes the independent variables Y(NY) at the current parameters P(NP) and independent [Pg.168]

We can see at once that each proton behaves differently, because it has its individual relaxation time Tx depending on the delay signals may be negative, positive, or have zero intensity. The T, values can be computed using spectrometer software. [Pg.13]

Thermal resistance is the reciprocal of thermal conductance. It is expressed as m KTW. Since the purpose of thermal insulation is to resist heat flow, it is convenient to measure a material s performance in terms of its thermal resistance, which is calculated by dividing the thickness expressed in meters by the thermal conductivity. Being additive, thermal resistances facilitate the computation of overall thermal transmittance values (t/-values). [Pg.112]

In reference to the tensile-strength table, consider the summary statistics x and x by days. For each day, the t statistic could be computed. If this were repeated over an extensive simulation and the resultant t quantities plotted in a frequency distribution, they would match the corresponding distribution of t values summarized in Table 3-6. [Pg.75]

Performing the calculations on function fitted to the raw data has another ramification the differences, and therefore the sums of squares, will depend on the units that the K-values are expressed in. It is preferable that functions with similar appearances give the same computed value of nonlinearity regardless of the scale. Therefore the sum-of-squares of the differences between the linear and the quadratic functions fitted to the data is divided by the sum-of-squares of the T-values that fall on the straight line fitted to the data. This cancels the units, and therefore the dependency of the calculation on the scale. [Pg.453]

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