# Experimental Relative Frequency

An Experimental Relative Frequency is an Actual Relative Frequency Value associated with a Random Experiment.

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**Example(s):**- 0.53 of the Coin Tosses were
*heads*.

- 0.53 of the Coin Tosses were
**See:**Experimental Frequency, Relative Frequency Function, Percent.

## References

## 2009

- http://en.wikipedia.org/wiki/Frequency_(statistics)
- 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

### 1987

- (Hogg & Ledolter, 1987) ⇒ Robert V. Hogg and Johannes Ledolter. (1987). “Engineering Statistics.
*Macmillan Publishing Company.**Random experiments*have*outcomes*that cannot be determined with certainty before the experiments are performed... 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 the*relative frequency*of the event [math]A[/math] in the [math]n[/math] trials of the experiment.