Difference between assumed mean method and step deviation method
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In statistics the assumed mean is a technique for computing the number-crunching mean and standard deviation of an informational index. It streamlines calculating exact esteems by hand. There are other quick calculation techniques which are more suited for PCs which additionally guarantee more exact results than the conspicuous strategies.
In Step Deviation strategy the mid values in the distinctive classes of an assembled information are vast in magnitude, at that point, the calculation of the mean x turns out to be very protracted and dull. In such a case, the calculation is disentangled by 'short cut' strategy.
In Step Deviation strategy the mid values in the distinctive classes of an assembled information are vast in magnitude, at that point, the calculation of the mean x turns out to be very protracted and dull. In such a case, the calculation is disentangled by 'short cut' strategy.
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