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Excel AVERAGE function

In this exercise, we have learned to calculate a mean, using both the built-in Excel AVERAGE function and a formula of our own design. In Chapter 6, we will use STDEV and other functions to complete our analysis of the data from the gravimetric determination of chloride that we began in Chapter 2. You may now close Excel by typing File/Exit or proceed to Chapter 6 to continue with the spreadsheet exercises. [Pg.103]

Since these polymers vary in average functionability, primary and secondary carboxyl groups, 1-2 and 1-4 addition product, and chainbranching products, it is not surprising that excellent control must be exercised during manufacture of the prepolymers and during propellant production. [Pg.88]

Notice that the mean determined using the built-in AVERAGE function is identical to the value in cell B13 that you determined by typing a formula. Before proceeding or terminating your Excel session, save your file to a disk as average.xls. [Pg.101]

In order to have Excel compute the average, we use the AVERAGE function in the following manner. In cell B16, we type =AVERAGE(B5 B14), and similarly in cell C16, we type =AVERAGE(C5 C14). [Pg.387]

On leaving the column, the components enter a plasma functioning in identical manner to that described in article 2.2.6.3. All the atoms present emit their own specific emission spectra and can be detected and quantified. The sensitivity is excellent for carbon, hydrogen, and sulfur and average for nitrogen and oxygen. [Pg.79]

Famoxadone, IN-JS940, and IN-KZ007 residues are measured in soil (p-g kg ), sediment (p-gkg ), and water (pgL ). Quantification is based on analyte response in calibration standards and sample extract analyses determined as pg mL Calibration standard runs are analyzed before and after every 1 samples in each analytical set. Analyte quantification is based on (1) linear regression analysis of (y-axis) analyte concentration (lagmL Q and (x-axis) analyte peak area response or (2) the average response factor determined from the appropriate calibration standards. The SLOPE and INTERCEPT functions of Microsoft Excel are used to determine slope and intercept. The AVERAGE and STDEV functions of Microsoft Excel are used to determine average response factors and standard deviations. [Pg.1188]

Similar function can also be applied for the selectivity as well. In these formulas the bo and bi parameters can be determined if two corresponding d and a values are available. These values are usually arbitrary selected by the researcher, d can have values only between 0 and 1. Obviously, the higher the value of d the better the catalyst performance. For example, the acceptable d value (0.4) in a selective hydrogenation can be adjusted to 60 % of conversion, whereas the excellent d value (0.9) belongs to 80 % conversion. This selection always depends on the type of reaction investigated and the researcher itself The combined desirability function (D) is obtained by the determination of the geometrical average of d values calculated for conversion and selectivity ... [Pg.306]

In Microsoft Excel, these are calculated by the functions =AVERAGE (range and =STDEV (range, respectively, where range is the range of cells containing the n data (e.g., Al A5). It is said that x is an estimate of p, and s is an estimate of a. [Pg.29]

The RIS model is usually considered to be an excellent description of the single-chain structure of polymer chains, the manifestation of which is the correlation function >W. The evaluation of csW from the RIS model requires laborious statistical averages, and, as a consequence, various approximations of m(r) are of importance. In the present paper, an approximation is presented which is accurate on all length scales. [Pg.49]

The Monte-Carlo method is utilized to investigate the conformational distribution in the central section of a PIB decamer at various temperatures. It is checked that a six-state RIS model based on the two matrices P and Pj constitutes a description of the conformational distribution in PIB. The Monte-Carlo results are in excellent agreement with the experimental data on the average dimensions of PIB chains, as well as with the molecular scattering functions of this polymer in solution and in bulk. [Pg.64]


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See also in sourсe #XX -- [ Pg.428 ]




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