Probability is the branch of mathematics concerning numerical descriptions of how likely an event is to occur, or how likely it is that a proposition is true. The probability of an event is a number between 0 and 1, where, roughly speaking, 0 indicates impossibility of the event and 1 indicates certainty.
https://en.wikipedia.org/wiki/Probability
In statistics, a population is a set of similar items or events which is of interest for some question or experiment. A statistical population can be a group of existing objects or a hypothetical and potentially infinite group of objects conceived as a generalization from experience.
https://en.wikipedia.org/wiki/Statistical_population
In statistics, the frequency of an event i is the number $n_{i}$ of times the observation occurred/recorded in an experiment or study. These frequencies are often graphically represented in histograms.
https://en.wikipedia.org/wiki/Frequency_(statistics)
https://economipedia.com/definiciones/frecuencia-absoluta.html
$hi = {fi \over N}$
hi = Frecuencia relativa de la observación i-ésima
fi = Frecuencia absoluta de la observación i-ésima
N = Número total de observaciones de la muestra
In probability theory, the law of large numbers (LLN) is a theorem that describes the result of performing the same experiment a large number of times. According to the law, the average of the results obtained from a large number of trials should be close to the expected value and will tend to become closer to the expected value as more trials are performed.
https://en.wikipedia.org/wiki/Law_of_large_numbers