Re: Extramathematical Notions and the Continuum Hypothesis
Jon Awbrey <[email protected]> Sat, 02 Feb 2013 14:48:46 -0500
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JA: http://permalink.gmane.org/gmane.science.philosophy.peirce/9497 PC: http://permalink.gmane.org/gmane.science.philosophy.peirce/9498 JA: http://permalink.gmane.org/gmane.science.philosophy.peirce/9499 KM: http://permalink.gmane.org/gmane.science.philosophy.peirce/9500 GF: http://permalink.gmane.org/gmane.science.philosophy.peirce/9505 JA: http://permalink.gmane.org/gmane.science.philosophy.peirce/9512 Peircers, Here are some notes from the beginning of my undergrad Prob & Stats textbook that I copied out on a couple of previous occasions when this business about the probabilistic meaning of “event” came up. It appears that the other “o”-word I was trying to remember was “outcomes”. I always imagined that this use of “occurrences” and “outcomes” was the reason why probabilists typically use a capital Omega for the name of the sample space. At any rate, it makes for a good mnemonic. Excerpts from 'Introduction to Probability Theory' by Paul G. Hoel, Sidney C. Port, Charles J. Stone. | 1.2. Probability Spaces | | Our purpose in this section is to develop the formal | mathematical structure, called a probability space, | that forms the foundation for the mathematical | treatment of random phenomena. | | Envision some real or imaginary experiment that we are trying to model. | The first thing we must do is decide on the possible outcomes of the | experiment. It is not too serious if we admit more things into our | consideration than can really occur, but we want to make sure that | we do not exclude things that might occur. Once we decide on the | possible outcomes, we choose a set !W! [Omega] whose points !w! | [omega] are associated with these outcomes. From the strictly | mathematical point of view, however, !W! is just an abstract | set of points. | | We next take a nonempty collection $A$ of subsets of !W! that is | to represent the collection of "events" to which we wish to assign | probabilities. By definition, now, an 'event' means a set A in $A$. | The statement 'the event A occurs' means that the outcome of our | experiment is represented by some point !w! in A. Again, from | the strictly mathematical point of view, $A$ is just a specified | collection of subsets of the set !W!. Only sets A in $A$, i.e., | events, will be assigned probabilities. In our model in Example 1, | $A$ consisted of all subsets of !W!. In the general situation when | !W! does not have a finite number of points, as in Example 2, it may | not be possible to choose $A$ in this manner. | | Hoel, Port, Stone, 'Probability Theory', p. 6. | | Hoel, P.G., Port, S.C., & Stone, C.J., |'Introduction to Probability Theory', | Houghton Mifflin, Boston, MA, 1971. The notes continue here: http://stderr.org/pipermail/inquiry/2003-June/thread.html#588 or here: http://web.archive.org/web/20070301065551/http://suo.ieee.org/ontology/thrd13.html#04885 Regards, Jon -- academia: http://independent.academia.edu/JonAwbrey my word press blog: http://inquiryintoinquiry.com/ inquiry list: http://stderr.org/pipermail/inquiry/ mwb: http://www.mywikibiz.com/Directory:Jon_Awbrey oeiswiki: http://www.oeis.org/wiki/User:Jon_Awbrey facebook page: https://www.facebook.com/JonnyCache