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Graphs drawing/plotting

Draw the line of perfect fit as described above. Each point on the graph is plotted so that it lies away from this line (imprecision) but so that the line of best fit matches the perfect line (accuracy). [Pg.15]

In any case, the cross-validation process is repeated a number of times and the squared prediction errors are summed. This leads to a statistic [predicted residual sum of squares (PRESS), the sum of the squared errors] that varies as a function of model dimensionality. Typically a graph (PRESS plot) is used to draw conclusions. The best number of components is the one that minimises the overall prediction error (see Figure 4.16). Sometimes it is possible (depending on the software you can handle) to visualise in detail how the samples behaved in the LOOCV process and, thus, detect if some sample can be considered an outlier (see Figure 4.16a). Although Figure 4.16b is close to an ideal situation because the first minimum is very well defined, two different situations frequently occur ... [Pg.206]

Calculate the critical systematic error and draw a vertical fine showing its location on the power function graph, or plot the observed imprecision and inaccuracy of your method on the OPSpecs chart for the TE of interest. [Pg.502]

The above method cannot be applied when the available data for as are limited to those for as < 2, as in the case where we deal with low-molecular-weight polymers or poor solvent systems. In such a case, only curve-fitting is practical for the estimation of B. Thus we prepare two log-log graphs, drawing on one the as vs. z curve graphing the Domb-Barrett interpolation formula, and plotting on the other the measured data (under fixed solvent conditions) of as against Then, we shift the data points on the latter horizontally... [Pg.27]

Fig. 9.5 The drawing (left) shows trap-mediated recombination with the electron (Te) and hole (tp) lifetimes the total lifetime (t) fm movement of a carrier from the conduction band (CB) to the valence band (VB) is the sum of Te and Tp. The graph (right) plots lifetime as a function of Fermi level - i.e., doping - for the case in which the energy level of the trap (E,) is between the middle of the bandgap (E ) and the conduction band ( cb)- The ranges of Fermi levels in which t 1/N are indicated within brackets. The graph is modified from [11]... Fig. 9.5 The drawing (left) shows trap-mediated recombination with the electron (Te) and hole (tp) lifetimes the total lifetime (t) fm movement of a carrier from the conduction band (CB) to the valence band (VB) is the sum of Te and Tp. The graph (right) plots lifetime as a function of Fermi level - i.e., doping - for the case in which the energy level of the trap (E,) is between the middle of the bandgap (E ) and the conduction band ( cb)- The ranges of Fermi levels in which t 1/N are indicated within brackets. The graph is modified from [11]...
To make a line graph, draw the horizontal (x) and vertical (y) axes of your graph. Label the y-axis with the independent variable and the x-axis with the dependent variable. (Refer to your data table to determine the scale and appropriate units for each axis). Plot each data pair, and then connect the data points to make a line, or curve. Finally, give the graph a title that clearly indicates the relationship between the data shown by the graph. [Pg.817]

The developed virtual electrochemical analyzer draws the CV plot and measures the concentration of biomarker present in the unknown sample. The electrochemical current responses obtained with respect to the known concentrations of biomarker can be entered simultaneously into the column given in the left side of the virtual electrochemical analyzer front panel and can plot the linear calibration curve by pressing the start button. The mathematical parameters like slope, intercept, correlation coefficient, and best linear fit values are displayed as soon as the linear graph is plotted. Further, with the help of the above parameters values, the concentration of biomarker present in the real samples can be determined and displayed immediately. [Pg.279]

When we draw a scatter plot of all X versus Y data, we see that some sort of shape can be described by the data points. From the scatter plot we can take a basic guess as to which type of curve will best describe the X—Y relationship. To aid in the decision process, it is helpful to obtain scatter plots of transformed variables. For example, if a scatter plot of log Y versus X shows a linear relationship, the equation has the form of number 6 above, while if log Y versus log X shows a linear relationship, the equation has the form of number 7. To facilitate this we frequently employ special graph paper for which one or both scales are calibrated logarithmically. These are referred to as semilog or log-log graph paper, respectively. [Pg.207]

Comparison of Alignment Charts and Cartesian Graphs. There are typically fewer lines on an alignment chart as compared to Cartesian plots. This reduces error introduced by interpolation and inconsistency between scales. For example, to find a point (x,j) on a Cartesian graph one draws two lines, one perpendicular to each axis, and these reference lines intersect at the point x,j). This point (x,j) may correspond to some finite value found by rea ding a contour map represented by a family of curves corresponding to different values of the function. [Pg.246]

The first step is to draw two horizontal lines on the graph paper. One is used to plot the vertical data and the other to plot the horizontal. These two lines show the location of each measurement point in inches with the outboard motor bearing being at zero. [Pg.731]

Make a graph with an energy scale extending on the ordinate from zero to 3000 kcal/mole and with the abscissa marked at equal intervals with the labels Na, Mg, and Al. Now plot and connect with a solid line the first ionization energies, Ei, of these three elements (see Table 20-IV). Hot Et and connect with a dashed line, E with a dotted line, and Et with a solid line. Draw a... [Pg.374]

Figure 2. Dimitri Mendeleev s discovery of the periodic system in 1869 was quickly followed by controversy over how it should be used, Mendeleev resisted reduction or explanation of the system in terms of atomic structure, and was specifically opposed to attempts to draw curves through points representing numerical data Lothar Meyer, who contributed to the discovery of the periodic system, was not so averse to reduction, however. One of his graphs, shown here in an 1870 publication, plotted atomic volume and was instrumental in the acceptance of the periodic system. Figure 2. Dimitri Mendeleev s discovery of the periodic system in 1869 was quickly followed by controversy over how it should be used, Mendeleev resisted reduction or explanation of the system in terms of atomic structure, and was specifically opposed to attempts to draw curves through points representing numerical data Lothar Meyer, who contributed to the discovery of the periodic system, was not so averse to reduction, however. One of his graphs, shown here in an 1870 publication, plotted atomic volume and was instrumental in the acceptance of the periodic system.
This Is a qualitative problem that asks us to combine information about three different orbitals on a single plot. We need to find electron density information and draw a single graph to scale. [Pg.509]

Plot a graph of decay rate versus time and draw a smooth line through the data points. This curve is an example of an exponential decay curve. Label the graph Figure A. [Pg.30]

Plot a graph of the mass of salt dissolved versus temperature. Draw a best-fit smooth curve through the data points. With the help of your teacher, obtain solubility data from the other groups in your class for the remaining three salts. Graph this data on your graph to obtain a family of solubility curves. [Pg.114]

Plot a graph of daughter-to-parent ratio versus number of half-lives on the axes in Figure A. Draw a smooth curve through the points. [Pg.193]

If we plot a graph of the values of the left-hand side of eqn. 2.87 on the ordinate against the volumes V on the abscissa, we can draw through the points obtained a straight line that intersects the x-axis at the volume Ve at... [Pg.70]


See other pages where Graphs drawing/plotting is mentioned: [Pg.165]    [Pg.165]    [Pg.76]    [Pg.150]    [Pg.16]    [Pg.94]    [Pg.47]    [Pg.108]    [Pg.297]    [Pg.12]    [Pg.99]    [Pg.70]    [Pg.151]    [Pg.22]    [Pg.338]    [Pg.292]    [Pg.144]    [Pg.34]    [Pg.63]    [Pg.310]    [Pg.99]    [Pg.73]    [Pg.228]    [Pg.72]    [Pg.697]    [Pg.10]    [Pg.476]    [Pg.32]    [Pg.35]    [Pg.35]    [Pg.124]    [Pg.291]   


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Graph drawing

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