Connections between classical probability and the frecuentist estimate of probability in a computer modelling environment
DOI:
https://doi.org/10.35763/aiem.v1i11.172Keywords:
Probability, modelling, computer environment, simulationAbstract
We report results of a study with a group of social science students taking an introductory course in probability. The purpose was to explore the reasoning linked to the connections between the theoretical probability and experimental probability in an environment modelling. The results show that the modelling process was not a complex activity for most students when the probabilities of the
problem are known (from theoretical approach toward the frequency approach), but in the opposite direction (from frequency approach toward the theoretical approach), the variability of the results was one of the main obstacles to identify the theoretical model underlying, particularly in those students who used 1,000 or fewer runs. The students who used 5,000 or more runs developed an intuitive understanding of the law of large numbers and adjusted the frequencies to the correct theoretical model
that generated.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
The articles published in this journal are under a license Creative Commons: By 4.0 España from number 21 (2022).
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and keep the acknowledgement of authorship.
- The texts published in this journal are – unless indicated otherwise – covered by the Creative Commons Attribution 4.0 international licence. You may copy, distribute, transmit and adapt the work, provided you attribute it (authorship, journal name, publisher) in the manner specified by the author(s) or licensor(s). The full text of the licence can be consulted here: http://creativecommons.org/licenses/by-nc/4.0.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).