For different sets of data, the mean would be the summation of all observations, which are normally subdivided by the observation numbers. The mean value would frequently be quoted with standard deviations: mean would describe data central locations then standard deviations illustrate the spread. Substitute dispersion measures include mean variations that are always equal to average absolute deviations from the mean values. It is minimally responsive to the outliers.
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Yes
Yes
Yes
The geometric mean is appropriate to use in statistical analysis when dealing with data that is positively skewed or when comparing values that are on a multiplicative scale, such as growth rates or investment returns.
You can use the mean to answer some statistical questions: it is a measure of the central tendency of a set of data. However, it is no good in identifying the maximum value of a set of data, for example.
What is the use of statistical inference in technology?
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See the Statistical Yearbook 2017.
Use of statistical techniques in capital market?"
What do you mean by Marginal probailities under statistical dependence
See the link below: "Statistical yearbook of Romania", Industry.
For details see the link below: Statistical Yearbook of Romania.