Relative frequency is the proportion of all given values in an interval, i.e., the frequency of the event/value divided by the total number of data points.
In other words...
If you picked 12 marbles out of a bag, and 9 of them were green, the frequency of green marbles would be 9... but the relative frequency would be that number (the frequency) divided by the total number of marbles... so the relative frequency would be 9/12 or 3/4.
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Relative frequency is the time that you get something successfully over the total number of times attempted... for example.. you flipped a coin 10 times, and you got heads 4 times. the relative frequency would be 4 over 10.
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Relative frequency is a method of calculating the frequency of an event. Percentage frequency is a way of presenting the frequency of an event.
Relative frequency of an event is the frequency of that event divided by the total number of observations. Therefore, a relative frequency of 0 implies the event has zero proportion (or probability).
The sum of the relative frequencies must equal 1 (or 100%), because each individual relative frequency is a fraction of the total frequency. The relative frequency of any category is the proportion or percentage of the data values that fall in that category. Relative frequency = relative in category/ total frequency It means a number in that class appeared 20% of the total appearances of all classes
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.