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Demerits and merits of the measures of central tendency
The arithmetic mean or a.m
Merits
i. It employs all the observations given
ii. This is a very useful statistic in terms of applications. This has some applications in business management for illustration as: hypothesis testing, quality control and so on.
iii. This is the best representative of a described set of data if such data was acquired from a normal population
iv. The arithmetic mean can be determined accurately by using mathematical formulas
Demerits
i. If the data is not drawn from a 'general population, then the arithmetic mean may provide a wrong impression about the population
ii. In some situations, the arithmetic mean may provide unrealistic values especially when dealing along with discrete variables for illustration as: when working out the average no. of children in a number of families. This may be found that the average is 4.4 which is un-realistic in human beings
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Measures of Dispersion - The measures of dispersion are extremely useful in statistical work since they indicate whether the rest of the data are scattered away from the mean
There are a variety of strategies that people use for developing this ability. For instance, while adding 1821,695 and 250, a person could estimate it mentally i) by rounding of
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