relative change is a proprotional change where absolute change is a complete change.........
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absolute deviation is a difference between say two numbers. The result has the same units as the two numbers have. Relative deviation is a ratio and so it is a pure number without any units.
absolute frequency is a term decribing the total number of trials you did. a relative frequency is the number of measurements in an interval of a frequency distribution. or the ratio of the number of times an event occurs in a series of trials of a chance experiment to the number of trials of the experiment performed. so the difference is one is the total trials, and the other...well it depends on which definition you picked...
Deviation = A full change from the Original (depending on what you're deviating from), while Variation = a change of small or fairly insignificant magnitude from the Original.
standard deviation only measures the average deviation of the given variable from the mean whereas the coefficient of variation is = sd\mean Written as "cv" If cv>1 More variation If cv<1 and closer to 0 Less variation
Frequency distribution refers to a set of frequencies with a particular set of values into which a statistical population is grouped. Relative frequency refers to data presented in a table that demonstrates the relative frequency of multiple non-overlapping classes.