Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Interpreting data

Measurement by Liquid Level. The flow rate of Hquids flowing in open channels is often measured by the use of weirs (see Liquid-LEVEL measurement). The most common type is the rectangular weir shown in Figure 22e. The flow rate across such a weir varies approximately with the quantity. Other shapes of weirs are also employed. Standard civil engineering handbooks describe the precautions necessary for constmcting and interpreting data from weirs. [Pg.110]

W. G. Schwer, "Purification of Industrial Liquids with Granular Activated Carbon Techniques for Obtaining and Interpreting Data and Selecting the Type of Commercial System," Carbon Ahsoption Handbook, Ann Arbor Science, Ann Arbor, Mich., 1978. [Pg.389]

Only under this condition are the three adsorption channels independent of each other. This is the standard scenario always used in interpreting data. However, this is only one because if, on the other hand, the exchange between the two precursors is the fastest process on the surface we get... [Pg.472]

That the rates of many reactions are markedly dependent upon the acidity or alkalinity of the reaction medium has been known for many decades. In this section, the kinetic analysis of reactions in dilute aqueous solution in which pH is the accessible measure of acidity is presented in sufficient detail to allow the experimentalist to interpret data for most of the systems likely to be encountered and to extend the treatment to cases not covered here. This section is based on an earlier discussion.The problem has also been analyzed by Van der Houwen et al. "... [Pg.273]

The process engineer also develops tests and interprets data and information from the research pilot plant. He aids in scaling-up the research qpe flow cycle to one of commercial feasibility. [Pg.1]

Dimensional analysis techniques are especially useful for manufacturers that make families of products that vary in size and performance specifications. Often it is not economic to make full-scale prototypes of a final product (e.g., dams, bridges, communication antennas, etc.). Thus, the solution to many of these design problems is to create small scale physical models that can be tested in similar operational environments. The dimensional analysis terms combined with results of physical modeling form the basis for interpreting data and development of full-scale prototype devices or systems. Use of dimensional analysis in fluid mechanics is given in the following example. [Pg.371]

Conceptual knowledge that is used to interpret data... [Pg.36]

ESI-MS has emerged as a powerful technique for the characterization of biomolecules, and is the most versatile ionization technique in existence today. This highly sensitive and soft ionization technique allows mass spectrometric analysis of thermolabile, non-volatile, and polar compounds and produces intact ions from large and complex species in solution. In addition, it has the ability to introduce liquid samples to a mass detector with minimum manipulation. Volatile acids (such as formic acid and acetic acid) are often added to the mobile phase as well to protonate anthocyanins. A chromatogram with only the base peak for every mass spectrum provides more readily interpretable data because of fewer interference peaks. Cleaner mass spectra are achieved if anthocyanins are isolated from other phenolics by the use of C18 solid phase purification. - ... [Pg.493]

Thiel et al. (1983) and Scott et al. (1992) have proposed more quantitative approaches, based on mathematical modelling of instantaneous and/or continuous U gain and loss. These models are applicable to weathering and account for the position of the data in the forbidden zones of the ( " U/ U) and ( °Th/ U) diagram. Several studies used this approach to interpret data in soils and weathering profiles (e.g.,... [Pg.551]

Interpreting Data Using your graph, interpolate how much time would elapse before a temperature of 50°C would be reached. [Pg.16]

Interpreting Data From the graphed data, what is your predicted boiling point for water How many degrees different is this from the actual boiling point of water ... [Pg.22]

Interpreting Data Discuss the differences in the cooling curves for sand and water. Explain their significance. [Pg.23]

Collecting and Interpreting Data Compare the appearance of the drawn structure of aspirin with the model. [Pg.68]

Collecting and Interpreting Data Of the three metals, Pb, Cu, Zn, which is the most active ... [Pg.76]

Interpreting Data Write balanced chemical equations for each of the reactions performed. If no reaction was observed write No Reaction. Be sure to show the state for each reactant and product. [Pg.79]

Collecting and Interpreting Data Based on your observations, describe which substance was the limiting reactant at the end of step 5, step 6, and step 7. How were you able to determine this ... [Pg.91]

Collecting and Interpreting Data Rank the volumes of the bases used in order from the least amount used to the greatest amount. [Pg.95]

Collecting and Interpreting Data For each neutralization, give the ratio of volume of acid to volume of base. [Pg.95]

Interpreting Data What is the experimental evidence that indicates whether each reaction is exothermic or endothermic ... [Pg.124]

Collecting and Interpreting Data Account for the pH of the club soda before heating and then after heating. [Pg.143]

Interpreting Data In Part B, what could be done to quantify the results of each reaction ... [Pg.155]

Collecting and Interpreting Data Did a reaction occur in beaker 1 In beaker 2 ... [Pg.160]

Analyze and Conclude The Analyze and Conclude section shows you how to perform the calculations necessary for you to analyze your data and reach conclusions. It provides questions to aid you in interpreting data and observations in order to reach an experimental result. You are asked to form a scientific conclusion based on what you actually observed, not what should have happened. An opportunity to analyze possible errors in the activity is also given. [Pg.216]

For extrathoracic deposition of particles, the model uses measured airway diameters and experimental data, where deposition is related to particle size and airflow parameters, and scales deposition for women and children from adult male data. Similar to the extrathoracic region, experimental data served as the basis for lung (bronchi, bronchioles, and alveoli) aerosol transport and deposition. A theoretical model of gas transport and particle deposition was used to interpret data and to predict deposition for compartments and subpopulations other than adult males. Table 3-4 provides reference respiratory values for the general Caucasian population during various intensities of physical exertion. [Pg.78]


See other pages where Interpreting data is mentioned: [Pg.122]    [Pg.19]    [Pg.2441]    [Pg.2564]    [Pg.506]    [Pg.550]    [Pg.103]    [Pg.798]    [Pg.436]    [Pg.95]    [Pg.587]    [Pg.415]    [Pg.44]    [Pg.582]    [Pg.534]    [Pg.95]    [Pg.196]    [Pg.27]    [Pg.28]    [Pg.139]    [Pg.139]    [Pg.49]    [Pg.52]    [Pg.135]   
See also in sourсe #XX -- [ Pg.46 ]




SEARCH



Adsorption data, interpretation

Application and Interpretation of Data

Array, sensor data interpretation

Beams data interpretation

Biofilms in Bioelectrochemical Systems: From Laboratory Practice to Data Interpretation, First Edition

Chemical processing interpreting data

Chemometrical Interpretation of Analytical Data

Data Collection and Interpretation

Data Handling and Interpretation

Data Interpretation Errors

Data Interpretation and Calibration

Data Quality Control and Interpretation

Data analysis and interpretation

Data collection interpretation

Data interpretation

Data interpretation

Data interpretation Adaptive Resonance Theory

Data interpretation adhesion force

Data interpretation applications

Data interpretation approaches

Data interpretation clustering

Data interpretation contact angle

Data interpretation context dependence

Data interpretation correspondence with linear

Data interpretation factors

Data interpretation factors species difference

Data interpretation from functions

Data interpretation from pathways

Data interpretation from sample inhomogeneity

Data interpretation knowledge-based system approaches

Data interpretation labels

Data interpretation limit checking

Data interpretation measurement uncertainty

Data interpretation methods

Data interpretation model-based methods

Data interpretation numeric-symbolic mapping

Data interpretation operating problems

Data interpretation overview

Data interpretation performance

Data interpretation probability density function

Data interpretation tables

Data interpretation types

Data interpretation univariate methods

Data interpretation vitro

Data interpretation wetting

Data interpretation, efficiency

Data interpretation, planning experiments

Degradation data interpretation

Differential scanning calorimetry data interpretation

Dissolution testing data interpretation

Drug discovery data interpretation

Efficiency test data interpretation

Electron ionization data interpretation

Electrophoresis data interpretation

Evaluation and Interpretation of Atmospheric Pollution Data

Evaluation and Interpretation of the Experimental Data

Explosion), Experimental Data Interpretation of

Frequentist data interpretation

Fundamental approaches to data analysis and interpretation

Genotoxicity testing data interpretation

Guidelines for interpreting data

HX-MS Data Interpretation

Hair test data, interpretation

High-performance liquid chromatography data interpretation

Hybridization data interpretation

Induction data interpretation

Interpretation of Data for Plane Strain Fracture Toughness Testing

Interpretation of Heterogeneous Kinetic Rate Data Via Hougen-Watson Models

Interpretation of Hyperfine and Quadrupole Data

Interpretation of Laboratory Kinetic Data

Interpretation of NMR data

Interpretation of Response Data by the Dispersion Model

Interpretation of Some Recent Literature Data

Interpretation of Spectroscopic Data

Interpretation of Water Table Data

Interpretation of analytical data

Interpretation of data

Interpretation of data, contractual aspects

Interpretation of geochemical data

Interpretation of geophysical data

Interpretation of kinetic data

Interpretation of kinetics data

Interpretation of mercury porosimetry data

Interpretation of powder diffraction data

Interpretation of the experimental data

Interpretation of toxicological data

Interpreting runaway reaction data

Kinetic data, interpretation

Lanthanide determination data interpretation

Lipids data interpretation

MALDI data interpretation

Mass spectrometry data interpretation

Mass-transfer coefficients data interpretation

Melting data interpretation

Metabonomic data interpretation

Model building data interpretation

Molecular composition data interpretation

Multivariate Statistical Evaluation and Interpretation of Soil Pollution Data

Nuclear magnetic resonance data interpretation

Plastic product design data interpretation

Presentation and Interpretation of Data

Process data interpretation

Quantitative Interpretation of Data

Quantitative Interpretation of Kinetic Data

Response data, interpretation

Revised Approach to Interpretation of the Data on Transactinoid Halides

Revised Interpretation of the Methylation Data Concerning Melezitose

Separation techniques data interpretation

Single molecule data, interpretation

Size Exclusion chromatography data interpretation

Skill 1.4 Understanding procedures for collecting and interpreting data to minimize bias

Small SANS data, interpretations

Sorption, equilibrium data interpretation

Sources of Data and Interpretations

Spectroscopic Data Interpretation

Stability Measurement—Aspects of Data Interpretation

Statistics data interpretation

Surface analysis data interpretation

Surface reaction data interpretation

The Interpretation of Calorimetric Data

Viscosity data interpretation

© 2024 chempedia.info