Why do you measure dispersion?


Top Answer
User Avatar
Wiki User
2014-09-22 17:49:45
2014-09-22 17:49:45

How do we calculate variance

User Avatar

Related Questions

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.

It is the measure of central tendency.

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)

Central tendency is used with bidmodal distribution. This measure if dispersion is similar to the median of a set of data.?æ

standard deviation is best measure of dispersion because all the data distributions are nearer to the normal distribution.

A good measure of dispersion is one such that the a goodness-of-fit test shows that the observed values agree well with the expected values.

no it is a measure of dispersion.

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.

standard deviation is the best measure of dispersion because.. a)It measure the absolute dispersion b)It is most frequentlyused as prossesses almost all the the qualities that a good measure of variation have. c)It is beased on all observation. d)It is rigidly defined. e)It is capable of further algebraic treatment. f)It is least affected by the fluctuation of sampling.

They are some measure of the dispersion or range of numbers in the set of data.

It's a way of obtaining a measure of dispersion that is dimension-free.

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

Primary dispersion halo and secondary dispersion halo.

Are you talking of this in means of Statistics? If you are, then the variation from the mean is measured in standard deviation.

The interquartile range is well known as a measure of statistical dispersion. It is equal to difference between upper and lower quartiles. The quartiles is a type of quantile.

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,

Having only the mean is not sufficient to identify outliers. You need some measure of dispersion.

A rainbow is an example of dispersion noob

Risk is necessary in the investment world. The absolute measure of risk is the standard deviation which is a statistical measure of dispersion. The distribution curve shows how much an asset can deviate from its expected outcome.

Copyright ยฉ 2020 Multiply Media, LLC. All Rights Reserved. The material on this site can not be reproduced, distributed, transmitted, cached or otherwise used, except with prior written permission of Multiply.