# Relative Frequency Value

A Relative Frequency Value is a frequency value from a relative frequency function (the ratio of an absolute frequency value to the multiset cardinality).

**Example(s):****Counter-Example(s):****See:**Experimental Relative Frequency, Term Relative Frequency.

## References

### 2009

- http://en.wikipedia.org/wiki/Statistical_frequency
- The
**relative frequency density**of occurrence of an event is the relative frequency of [math]i[/math] divided by the size of the bin used to classify*i*. - For example: If the lower extreme of the class you are measuring the density of is 15 and the upper extreme of the class you are measuring is 30, given a relative frequency of 0.0625, you would calculate the frequency density for this class to be:
- Relative frequency / (Upper extreme of class − lower extreme of class) = density
- 0.0625 / (30 − 15) = 0.0625 / 15 = 0.0041666.. That is: 0.00417 to 5 S.F.

- In biology, relative frequency is the occurrence of a single gene in a specific species that makes up a gene pool.
- The
**limiting relative frequency**of an event over a long series of trials is the conceptual foundation of the frequency interpretation of probability. In this framework, it is assumed that as the length of the series increases without bound, the fraction of the experiments in which we observe the event will stabilize. This interpretation is often contrasted with Bayesian probability.

- The

### 2001

- (Jacquemin, 2001) ⇒ Christian Jacquemin. (2001). “Spotting and Discovering Terms Through Natural Language Processing." MIT Press. ISBN:0262100851
**Relative frequency**: The relative frequency of a term in a document is the ratio of its number of occurrences to the size of the document.

### 1987

- (Hogg & Ledolter, 1987) ⇒ Robert V. Hogg, and Johannes Ledolter. (1987). “Engineering Statistics.” Macmillan Publishing.
- The collection of all possible outcomes, namely [math]S[/math] = {H,T}, is called the
*sample space*. Suppose that we are interested in a subset [math]A[/math] of our sample space; for example, in our case, let*A*={H} represent heads. Repeat this random experiment a number of times, say [math]n[/math], and count the number of times, say [math]f[/math], that the experiment ended in*A*. Here [math]f[/math] is called the*frequency*of the*event A*and the ratio f/n is called theof the event [math]A[/math] in the [math]n[/math] trials of the experiment.**relative frequency**

- The collection of all possible outcomes, namely [math]S[/math] = {H,T}, is called the