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...
Chat with our AI personalities
relative change is a proprotional change where absolute change is a complete change.........
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.
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.
Both divide the data into discrete groups or intervals. The frequency histogram gives the number of times the data occur in the particular group or interval, while the relative frequency histogram gives the fraction of times the data occur in the particular group or interval.
Relative frequency approximation is conducting experiments and counting the number of times the event occurs divided by the total number of events. The classical approach is determine the number of ways the event can occur divided by the total number of events.