which one of the following is not a measure of dispersion?
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Explanation : Quartile is not a measure of dispersion because it is the measure of central tendency. 2nd quartile is equal to median. Only range, mean deviation, standard deviation are the measure of dispersion.
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Intensive properties, such as density and color, do not depend on the amount of the substance present. Physical properties can be measured without changing a substance's chemical identity. Chemical properties can be measured only by changing a substance's chemical identity.
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2 Answers. measures of central tendency are mean, mode and median , whereas measures of dispersion are variance, standard deviation and interquartile range (it explains the extent to which distribution stretched or squeezed).
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The reason we use the rms velocity instead of the average is that for a typical gas sample the net velocity is zero since the particles are moving in all directions. This is a key formula as the velocity of the particles is what determines both the diffusion and effusion rates.
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Dispersion forces are very weak until the molecules or ions are almost touching each other, as in the liquid state. ... If it were not for dispersion forces, the noble gases would not liquefy at any temperature since no other intermolecular force exists between the noble gas atoms.
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A disdrometer is an instrument used to measure the drop size distribution and velocity of falling hydrometeors. Some disdrometers can distinguish between rain, graupel, and hail. The uses for disdrometers are numerous.
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Atomic weight properties of an element is not variable.
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Momentum is not a scalar quantity. Momentum is a vector, which means it has a magnitude and a direction. Linear momentum is the product of an object's...
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Variance is a measure of the dispersion and is not bound by any time period. On the other hand, volatility captures the degree of variation of a time series over time. In finance, volatility is a measure of the standard deviation over a certain time horizon (typically annual).
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Extensive properties, such as mass and volume, depend on the amount of matter being measured. ... Physical properties can be measured without changing a substance's chemical identity. Chemical properties can be measured only by changing a substance's chemical identity.
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Measure of dispersion measures a standard of deviation expected to occur away from something. A measure of central tendency is one value that is considered to represent a given set of data in the best possible manner. Dispersion is a value that measures the extent of heterogeneity in a given set of data.
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The device that does not follow ohm's law is known as a non-ohmic device (i.e the resistance is different for different currents passing through it). Examples of non ohmic devices are: thermistors, crystal rectifiers, vacuum tube etc.
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London dispersion forces, under the category of van der Waal forces: These are the weakest of the intermolecular forces and exist between all types of molecules, whether ionic or covalent—polar or nonpolar. The more electrons a molecule has, the stronger the London dispersion forces are.
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The basic unit of measurement of conductivity is the mho or siemens. Conductivity is measured in micromhos per centimeter (µmhos/cm) or microsiemens per centimeter (µs/cm). Distilled water has a conductivity in the range of 0.5 to 3 µmhos/cm.
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Actually, FTIR never measures absorption, but transmittance or reflectance. Somewhat naively, it is assumed that what is not transmitted must be absorbed, on this the definition of transmittance absorbance is based (A = -log T). ... Furthermore, it is compatible with Maxwell's equations while absorbance is not.
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If a different solvent were used, the Rf value would not be the same because, depending on the solvent, there is a difference in solubility. If a different solvent was used, the relative positions of the bands would be different.
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Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range. Dispersion is contrasted with location or central tendency, and together they are the most used properties of distributions.