Q: What does dispersion indicate about the data?

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

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

You need to indicate the conditions.

distinguish between dispersion and skewness

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.

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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.

No

The units of dispersion are dependent on the units of the data being measured. Common measures of dispersion include variance and standard deviation, which have square units and the same units as the data being measured, respectively. Another measure, such as the coefficient of variation, is a unitless measure of dispersion relative to the mean.

Floyd Buckley has written: 'Tables of dialectic dispersion data for pure liquids and dilute solutions' 'Tables of dielectric dispersion data for pure liquids and dilute solutions' -- subject(s): Dielectrics, Dispersion, Solution (Chemistry)

The dispersion of the data.

It is a measure of the spread or dispersion of the data.

Reciprocal dispersion is a statistical measure used to assess the variability of values around their reciprocal. It is calculated by taking the reciprocal of each data point, calculating the variance of these values, and then obtaining the reciprocal of that variance. It is helpful in certain mathematical and statistical analyses to understand the dispersion of data.

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.

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

Variance is a measure of "relative to the mean, how far away does the other data fall" - it is a measure of dispersion. A high variance would indicate that your data is very much spread out over a large area (random), whereas a low variance would indicate that all your data is very similar.Standard deviation (the square root of the variance) is a measure of "on average, how far away does the data fall from the mean". It can be interpreted in a similar way to the variance, but since it is square rooted, it is less susceptible to outliers.

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.