Common measures of central tendency are the mean, median, mode. Common measures of dispersion are range, interquartile range, variance, standard deviation.

Dispersion is an abstract quality of a sample of data. Dispersion is how far apart or scattered the data values appear to be. Common measures of dispersion are the data range and standard deviation.

Dispersion is the act of spreading people or things (like seeds) out over a large area. Measures of dispersion tell us the degree of variation of values in a sample or population.

pascal/newton kilometre

These measures are calculated for the comparison of dispersion in two or more than two sets of observations. These measures are free of the units in which the original data is measured. If the original data is in dollar or kilometers, we do not use these units with relative measure of dispersion. These measures are a sort of ratio and are called coefficients. Each absolute measure of dispersion can be converted into its relative measure. Thus the relative measures of dispersion are:Coefficient of Range or Coefficient of Dispersion.Coefficient of Quartile Deviation or Quartile Coefficient of Dispersion.Coefficient of Mean Deviation or Mean Deviation of Dispersion.Coefficient of Standard Deviation or Standard Coefficient of Dispersion.Coefficient of Variation (a special case of Standard Coefficient of Dispersion)

no it is a measure of dispersion.

Both are measures of spread or dispersion.

The dispersion of the data.

The Absolute Measure of dispersion is basically the measure of variation from the mean such as standard deviation. On the other hand the relative measure of dispersion is basically the position of a certain variable with reference to or as compared with the other variables. Such as the percentiles or the z-score.

None. Measures of central tendency are not significantly affected by the spread or dispersion of data.

There are more than three measures. Some are better than others in some situations but not as good in other situations.

In a statistical sense, spread, otherwise known as statistical dispersion, is one of various measures of distribution.

Central tendency will only give you information on the location of the data. You also need dispersion to define the spread of the data. In addition, shape should also be part of the defining criteria of data. So, you need: location, spread & shape as best measures to define data.

well if you really want to know, ASK SOMEONE ELSE 'CUZ I HAVE NO DANG IDEA!!!

It's a statistical tool used in psychology. A simple way of calculating the measure of dispersion is to calculate the range. The range is the difference between the smallest and largest value in a set of scores. This is a fairly crude measure of dispersion as any one high or low scale can distort the data. A more sophisticated measure of dispersion is the standard deviation which tells you how much on average scores differ from the mean.

Measures of central tendency are averages. Range , the difference between the maximum and the minimum, is a measure of dispersion or variation.

There are three main patterns of dispersion. These include clumped, even, and random. If individuals are evenly dispersed, they are located at equal intervals. If they are clumped, they are bunched together in clusters. Random dispersion means the location of each individual is determined by chance. The most common type of dispersion in nature is clumped.

Primary dispersion halo and secondary dispersion halo.

Quantiles are measures of spread or dispersion. Properties that are capable of changing values are variable properties.

ANS: Measures of central tendency will quantify the middle of the distribution. The measures in case of population are the parameters and in case of sample, the measures are statistics that are estimates of population parameters. The three most common ways of measuring the centre of distribution is the mean, mode and median.In case of population, the measures of dispersion are used to quantify the spread of the distribution. Range, interquartile range, mean absolute deviation and standard deviation are four measures to calculate the dispersion.The measures of central tendency and measures of dispersion summarise mass data in terms of its two important features.i. With respect to nature of data to cluster around a central valueii. With respect to their spread from their central valueArithmetic mean is defined as the sum of all values divided by number of values.Median of a set of values is the middle most value when the values are arranged in the ascending order of magnitude.Mode is the value which has the highest frequencyThe measures of variations are:i. Range (R)ii. Quartile Deviations ( Q.D)iii. Mean Deviations (M.D)iv. Standard Deviations (S.D)Coefficient of variation is a relative measure expressed in percentage and is defined as:CV in %=

Sets of data have many characteristics. The central location (mean, median) is one measure. But you can have different data sets with the same mean. So a measure of dispersion is used to determine whether there is a little or a lot of variability within the set. Sometimes it is necessary to look at higher order measures like the skewness, kurtosis.

No, for jellies, dispersion phase is liquid and dispersion medium is solid. And for emulsions,both dispersion phase and dispersion medium is liquid.

The manner in which members of a population are arranged in a particular area is know as dispersion. There are three main kinds of dispersion, which are clumped dispersion, random dispersion, and uniform dispersion.

The solid dispersion is a dispersion of one or more ingredient in a inert matrix at solid state,

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